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ORCIDCoRR, November 2023
- Yichi Zhang, Jiayi Pan, Yuchen Zhou, Rui Pan, Joyce Chai:
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans? - Peijie Qiu
, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras:
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. - Aysu Ismayilova, Vugar E. Ismailov:
On the Kolmogorov neural networks. - Han-Jia Ye, Qi-Le Zhou, De-Chuan Zhan:
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation. - David Marwood, Shumeet Baluja, Yair Alon:
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion. - Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". - Sleiman Safaoui, Abraham P. Vinod, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano:
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning. - Joao Marono, Catarina Silva, João Paulo Barraca, Vitor A. Cunha, Paulo Salvador:
Assessing Mobile Application Privacy: A Quantitative Framework for Privacy Measurement. - Viswa Narayanan Sankaranarayanan, Sumeet Gajanan Satpute, Spandan Roy, George Nikolakopoulos:
Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty. - Derya Gol Gungor, Bimba Rao, Cynthia Wolverton, Ismayil Guracar:
View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning. - Om M. Khare, Shubham Gandhi, Aditya M. Rahalkar, Sunil Mane:
YOLOv8-Based Visual Detection of Road Hazards: Potholes, Sewer Covers, and Manholes. - Sahrima Jannat Oishwee, Natalia Stakhanova, Zadia Codabux:
Investigating Software Developers' Challenges for Android Permissions in Stack Overflow. - David Casas, Mikhail V. Volkov:
Don's conjecture for binary completely reachable automata: an approach and its limitations. - Mohammad Azizmalayeri, Reza Abbasi, Amir Hosein Haji Mohammad rezaie, Reihaneh Zohrabi, Mahdi Amiri, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection. - María López-Fernández, Lukasz Plociniczak:
Convolution Quadrature for the quasilinear subdiffusion equation. - Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang:
Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective. - Michal Lisicki, Mihai Nica, Graham W. Taylor:
Bandit-Driven Batch Selection for Robust Learning under Label Noise. - Ada Barach, Maxwell Taylor, Vincent Beardsley, Jacob Bambeck, Michael D. Bond, Zhiqiang Lin:
Cocoon: Static Information Flow Control in Rust. - Hugo Casquero, Kyle Dakota Mathews:
Overcoming membrane locking in quadratic NURBS-based discretizations of linear Kirchhoff-Love shells: CAS elements. - Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. - Alberto Rigo, Muqun Hu, Satyandra K. Gupta, Quan Nguyen:
Hierarchical Optimization-based Control for Whole-body Loco-manipulation of Heavy Objects. - Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini:
EXTRACT: Explainable Transparent Control of Bias in Embeddings. - Aarohi Srivastava, David Chiang:
BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy Text. - Pranav Gade, Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish:
BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B. - Gabriele D'Acunto, Francesco Bonchi, Gianmarco De Francisci Morales, Giovanni Petri:
Extracting the Multiscale Causal Backbone of Brain Dynamics. - Viet-Anh Le, Behdad Chalaki, Filippos N. Tzortzoglou, Andreas A. Malikopoulos:
Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios. - Mattia Opper, J. Morrison, N. Siddharth:
On the effect of curriculum learning with developmental data for grammar acquisition. - Mykhailo Shvets, Dongxu Zhao, Marc Niethammer, Roni Sengupta, Alexander C. Berg:
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM. - Fatemeh Rajabi, Ali Mohades:
Two-Stage Classifier for Campaign Negativity Detection using Axis Embeddings: A Case Study on Tweets of Political Users during 2021 Presidential Election in Iran. - Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang:
Backdoor Threats from Compromised Foundation Models to Federated Learning. - Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi:
Developing a Tool to Automate Extensions to Support a Flexible Extension Policy. - Jake Brawer, Kayleigh Bishop, Bradley Hayes, Alessandro Roncone:
Towards A Natural Language Interface for Flexible Multi-Agent Task Assignment. - Chunxu Tang, Yi Wang, Bin Fan, Beinan Wang, Shouwei Chen, Ziyue Qiu, Chen Liang, Jing Zhao, Yu Zhu, Mingmin Chen, Zhongting Hu:
Rethinking the Cloudonomics of Efficient I/O for Data-Intensive Analytics Applications. - Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia:
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. - Xinting Huang, Jiajing Wan, Ioannis Kritikos, Nora Hollenstein:
Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks. - Jimin Mun, Emily Allaway, Akhila Yerukola, Laura Vianna, Sarah-Jane Leslie, Maarten Sap:
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language. - Abhinav Nippani, Dongyue Li, Haotian Ju, Haris N. Koutsopoulos, Hongyang R. Zhang:
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis. - Younghyun Koo, Maryam Rahnemoonfar:
Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean. - Nathan O. Lambert, Roberto Calandra:
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback. - Jinhwa Kim, Ali Derakhshan, Ian G. Harris:
Robust Safety Classifier for Large Language Models: Adversarial Prompt Shield. - Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren:
ChipNeMo: Domain-Adapted LLMs for Chip Design. - Wannita Takerngsaksiri, Cleshan Warusavitarne, Christian Yaacoub, Matthew Hee Keng Hou, Chakkrit Tantithamthavorn:
Students' Perspective on AI Code Completion: Benefits and Challenges. - Ce Zhang, Changcheng Fu, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun:
Object-centric Video Representation for Long-term Action Anticipation. - Gregory Schwartzman:
Local Max-Cut on Sparse Graphs. - Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos:
Decodable and Sample Invariant Continuous Object Encoder. - Daniel Hajialigol, Hanwen Liu, Xuan Wang:
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision. - Kyle Brown, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer:
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing. - Ryan Dorosh, Justin Allen, Zixuan He, Christopher Ninatanta, Jack Coleman, Jack Spieker, Ethan Tuck, Jordan Kurtz, Qin Zhang, Matthew D. Whiting, Jiecai Luo, Manoj Karkee, Ming Luo:
Design, Modeling, and Control of a Low-Cost and Rapid Response Soft-Growing Manipulator for Orchard Operations. - Nian-Ci Wu, Yang Zhou, Zhaolu Tian:
On the alternating randomized block Kaczmarz method. - Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi:
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. - Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, Praveen K. Paritosh:
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities. - Zhen Guo, Yining Hua:
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering. - Zhiyuan Ren, Yiyang Su, Xiaoming Liu:
ChatGPT-Powered Hierarchical Comparisons for Image Classification. - Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar:
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. - Lena Strobl, William Merrill, Gail Weiss, David Chiang, Dana Angluin:
Transformers as Recognizers of Formal Languages: A Survey on Expressivity. - Valdemar Vicente Graciano Neto, Célia Laís Rodrigues, Fernando Kenji Kamei, Juliano Lopes de Oliveira, Eliomar Araújo de Lima, Mohamad Kassab, Roberto Oliveira:
Anachronic Tertiary Studies in Software Engineering: An Exploratory Quaternary Study. - Samuel E. Otto, Nicholas Zolman, J. Nathan Kutz, Steven L. Brunton:
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning. - Jiaxin Cheng, Tianjun Xiao, Tong He:
Consistent Video-to-Video Transfer Using Synthetic Dataset. - Wenjie Ou, Dongyue Guo, Zheng Zhang, Zhishuo Zhao, Yi Lin:
WinNet: time series forecasting with a window-enhanced period extracting and interacting. - Sanguk Lee, Tai-Quan Peng, Matthew H. Goldberg, Seth A. Rosenthal, John E. Kotcher, Edward W. Maibach, Anthony Leiserowitz:
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias. - Jingjing Wang, Joshua Luo, Grace Yang, Allen Hong, Feng Luo:
Is GPT Powerful Enough to Analyze the Emotions of Memes? - Will Snyder, Irina Tezaur, Christopher R. Wentland:
Domain decomposition-based coupling of physics-informed neural networks via the Schwarz alternating method. - Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon:
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. - Gaoshuang Huang, Yang Zhou, Xiaofei Hu, Chenglong Zhang, Luying Zhao, Wenjian Gan, Mingbo Hou:
DINO-Mix: Enhancing Visual Place Recognition with Foundational Vision Model and Feature Mixing. - Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. - Mostafa A. Atalla, Fabian Trauzettel, Sebastiaan P. van Gelder, Paul Breedveld, Michaël Wiertlewski, Aimée Sakes:
Mechanically-Inflatable Bio-Inspired Locomotion for Robotic Pipeline Inspection. - Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun:
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. - Jenna L. Butler, Thomas Zimmermann, Christian Bird:
Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development. - Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities. - Xingchen Wu, Qin Qiu, Jiaqi Li, Yang Zhao:
Intell-dragonfly: A Cybersecurity Attack Surface Generation Engine Based On Artificial Intelligence-generated Content Technology. - Shi Yin, Shijie Huan, Defu Lian, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu:
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking. - Wangzhen Peng, Chenghao Zhou, Runze Hu, Jingchao Cao, Yutao Liu:
RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Method. - Xinyi Yang, Yuxiang Yang, Chao Yu, Jiayu Chen, Jingchen Yu, Haibing Ren, Huazhong Yang, Yu Wang:
Active Neural Topological Mapping for Multi-Agent Exploration. - Hossein Pashazad, Xiaoyu Song:
Computational multiphase micro-periporomechanics for dynamic shear banding and fracturing of unsaturated porous media. - Eman Abdullah AlOmar, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni:
How is Software Reuse Discussed in Stack Overflow? - Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. - Hongyi Zheng, Abulhair Saparov:
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. - Adrian Celaya, Keegan L. A. Kirk, David Fuentes, Beatrice Riviere:
Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks. - Lee Cohen, Han Shao:
Incentivized Collaboration in Active Learning. - Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. - Shuai Feng, Maopeng Ran, Baoyong Zhang, Lihua Xie, Shengyuan Xu:
The bottleneck and ceiling effects in quantized tracking control of heterogeneous multi-agent systems under DoS attacks. - Yi Ma, Chenjun Xiao, Hebin Liang, Jianye Hao:
Rethinking Decision Transformer via Hierarchical Reinforcement Learning. - Luke Gessler, Nathan Schneider:
Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages? - Zhiyuan Wei, Jing Sun, Zijian Zhang, Xianhao Zhang, Xiaoxuan Yang, Liehuang Zhu:
Survey on Quality Assurance of Smart Contracts. - Bo Li, Qiang He, Feifei Chen, Lingjuan Lyu, Athman Bouguettaya, Yun Yang:
EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing. - Zejun Wang, Jia Li, Ge Li, Zhi Jin:
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation. - Yirong Chen, Xiaofen Xing, Jingkai Lin, Huimin Zheng, Zhenyu Wang, Qi Liu, Xiangmin Xu:
SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations. - Xiangdi Yue, Yihuan Zhang, Miaolei He:
LiDAR-based SLAM for robotic mapping: state of the art and new frontiers. - Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté, David Rolnick:
OpenForest: A data catalogue for machine learning in forest monitoring. - Min Jae Jung, Seung Dae Han, Joohee Kim:
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection. - Wen Deng, Weiguo Zheng, Hong Cheng:
Accelerating Maximal Clique Enumeration via Graph Reduction. - Dajiang Suo, Heyi Li, Rahul Bhattacharyya, Zijin Wang, Shengxuan Ding, Ou Zheng, Daniel Valderas, Joan Melià-Seguí, Mohamed A. Abdel-Aty, Sanjay E. Sarma:
RF-Enhanced Road Infrastructure for Intelligent Transportation. - Meng Wu, Siyan Luo, Qiyu Wu, Wenbin Ouyang:
TLMCM Network for Medical Image Hierarchical Multi-Label Classification. - Hira Naveed, Chetan Arora, Hourieh Khalajzadeh, John C. Grundy, Omar Haggag:
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review. - Zhenbang Du, Jiayu An, Jiahao Hong, Dongrui Wu:
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach. - Mi Zhang, Xudong Pan, Min Yang:
JADE: A Linguistics-based Safety Evaluation Platform for LLM. - Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng:
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. - Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann:
Inference of CO2 flow patterns - a feasibility study. - Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock:
Graph Representation Learning for Infrared and Visible Image Fusion. - Xiaoyue Wang, Xin Liu, Lijie Wang, Yaoxiang Wang, Jinsong Su, Hua Wu:
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models. - Hongrui Gao, Yawen Li, Meiyu Liang, Zeli Guan, Zhe Xue:
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network. - Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang:
An Empirical Study of Frame Selection for Text-to-Video Retrieval. - Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue:
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion. - Weiying Wang, Akinori Nakajima:
Detecting Syllable-Level Pronunciation Stress with A Self-Attention Model. - Mahmut Tokmak, Mike Wa Nkongolo:
Stacking an autoencoder for feature selection of zero-day threats. - Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee:
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation. - Md Farhan Ishmam, Md Sakib Hossain Shovon, Muhammad Firoz Mridha, Nilanjan Dey:
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities. - Takashi Wada, Timothy Baldwin, Jey Han Lau:
Unsupervised Lexical Simplification with Context Augmentation. - Alaa Eldin Abdelaal, Sayem Nazmuz Zaman, Daniel Chen, Trent Suzuki, Jaden Ingleton:
Gaze-based Learning from Demonstration In Surgical Robotics. - Chengjie Ma, Yawen Li, Meiyu Liang, Ang Li:
Federated Topic Model and Model Pruning Based on Variational Autoencoder. - Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé:
Data Augmentation for Code Translation with Comparable Corpora and Multiple References. - Iu Yahiro, Takashi Ishida, Naoto Yokoya:
Flooding Regularization for Stable Training of Generative Adversarial Networks. - Bandhav Veluri, Malek Itani, Justin Chan, Takuya Yoshioka, Shyamnath Gollakota:
Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables. - Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-young Yun:
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. - Hyeonsoo Jo, Fanchen Bu, Kijung Shin:
Robust Graph Clustering via Meta Weighting for Noisy Graphs. - Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak:
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. - P. Balasubramanian, Douglas L. Maskell:
Fault-Tolerant Design Approach Based on Approximate Computing. - Jiarui Ding, Sayem Nazmuz Zaman, P. Y. Chen, David Wang:
Latent Space Inference For Spatial Transcriptomics. - Weihang Su, Qingyao Ai, Yueyue Wu, Yixiao Ma, Haitao Li, Yiqun Liu:
Caseformer: Pre-training for Legal Case Retrieval. - Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, José Luis Ambite:
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. - Liron David, Yuval Shavitt:
BGP Typo: A Longitudinal Study and Remedies. - Jiaxi Shi, Hao Hua:
Space Narrative: Generating Images and 3D Scenes of Chinese Garden from Text using Deep Learning. - Xuelin Qian, Yun Wang, Jingyang Huo, Jianfeng Feng, Yanwei Fu:
fMRI-PTE: A Large-scale fMRI Pretrained Transformer Encoder for Multi-Subject Brain Activity Decoding. - Onur N. Tepencelik, Wenchuan Wei, Pamela C. Cosman, Sujit Dey:
Analyzing Head Orientation of Neurotypical and Autistic Individuals in Triadic Conversations. - Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci:
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. - Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang:
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. - Yuxiang Bao, Di Qiu, Guoliang Kang, Baochang Zhang, Bo Jin, Kaiye Wang, Pengfei Yan:
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation. - Minjia Shi, Danni Lu, José Andrés Armario, Ronan Egan, Ferruh Özbudak, Patrick Solé:
Butson Hadamard matrices, bent sequences, and spherical codes. - Rizhong Wang, Huiping Li, Di Cui, Demin Xu:
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning. - Hengkui Dong, Xianzhong Long, Yun Li:
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples. - Chenxu Wang, Ping Jian, Mu Huang:
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition. - Mohammad Zubair, Christoph Bauinger:
Performance Optimization of Deep Learning Sparse Matrix Kernels on Intel Max Series GPU. - João Victor Galvão da Mata, Anders Hansson, Martin S. Andersen:
Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach. - Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Yingjuan Tang, Zaiqing Nie:
Learning Cooperative Trajectory Representations for Motion Forecasting. - Ruiyang Jin, Yujie Tang, Jie Song:
Zeroth-Order Feedback-Based Optimization for Distributed Demand Response. - Stefan Kambiz Behfar, Qumars Behfar, Marzie Hosseinpour:
Architecture of Data Anomaly Detection-Enhanced Decentralized Expert System for Early-Stage Alzheimer's Disease Prediction. - Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Pérez-Cruz:
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows. - Advait Sarkar:
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models? - Fabio J. Cortes Rodriguez, Gianfranco Frattini, Fernando Teixeira Pinto Meireles, Danae A. Terrien, Sergio Cruz-Leon, Matteo Dal Peraro, Eva Schier, Diego M. Moreno, Luciano A. Abriata:
MolecularWebXR: Multiuser discussions about chemistry and biology in immersive and inclusive VR. - Leonardo Perugini, Andrea Vesco:
On the Integration of Self-Sovereign Identity with TLS 1.3 Handshake to Build Trust in IoT Systems. - Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. - Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. - Hiu Ching Cheung, Ching-Wei Chang, Bailun Jiang, Chih-Yung Wen, Henry K. Chu:
A Modular Pneumatic Soft Gripper Design for Aerial Grasping and Landing. - Ryusei Uramune, Sei Ikeda, Hiroki Ishizuka, Osamu Oshiro:
Fixation-based Self-calibration for Eye Tracking in VR Headsets. - Danial Hooshyar, Roger Azevedo, Yeongwook Yang:
Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education. - Minglang Huang, Yiyi Zhou, Gen Luo, Guannan Jiang, Weilin Zhuang, Xiaoshuai Sun:
Towards Omni-supervised Referring Expression Segmentation. - Qingqiu Li, Jilan Xu, Runtian Yuan, Mohan Chen, Yuejie Zhang, Rui Feng, Xiaobo Zhang, Shang Gao:
Enhanced Knowledge Injection for Radiology Report Generation. - Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult, William Robson Schwartz, Manuel Günther:
Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss. - Wenyang Hu, Kai Liu, Libin Liu, Huiliang Shang:
A Spatial-Temporal Transformer based Framework For Human Pose Assessment And Correction in Education Scenarios. - Philipp Schulze:
Structure-Preserving Time Discretization of Port-Hamiltonian Systems via Discrete Gradient Pairs. - Gergely Csáji, David F. Manlove, Iain McBride, James Trimble:
Couples can be tractable: New algorithms and hardness results for the Hospitals / Residents problem with Couples. - Yongxin Huang, Kexin Wang, Sourav Dutta, Raj Nath Patel, Goran Glavas, Iryna Gurevych:
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification. - Jiarui Zhu, Weixing Chen, Hongfei Sun, Shaohua Zhi, Jing Qin, Jing Cai, Ge Ren:
Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss. - Cong Guan, Lichao Zhang, Chunpeng Fan, Yichen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu:
Efficient Human-AI Coordination via Preparatory Language-based Convention. - Christos Iliadis, Vassilis Glenis, Chris G. Kilsby:
A cost-benefit source-receptor framework for implementation of Blue-Green flood risk management. - Dipankar Sarkar:
Towards Universal Atomic Composability: A Formal Model for Multi-Rollup Environments on Ethereum. - Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. - Zhihong Zeng, Zongji Wang, Yuanben Zhang, Weinan Cai, Zehao Cao, Lili Zhang, Yan Guo, Yanhong Zhang, Junyi Liu:
Neural Implicit Field Editing Considering Object-environment Interaction. - Alain Andres, Daochen Zha, Javier Del Ser:
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards. - Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon:
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks. - Sanchit Gandhi, Patrick von Platen, Alexander M. Rush:
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling. - Felix Agner, Jonas Hansson, Pauline Kergus, Anders Rantzer, Sophie Tarbouriech, Luca Zaccarian:
Decentralized PI-control and Anti-windup in Resource Sharing Networks. - Shintaro Shiba, Friedhelm Hamann, Yoshimitsu Aoki, Guillermo Gallego:
Event-based Background-Oriented Schlieren. - Zhanwen Liu, Nan Yang, Yang Wang, Yuke Li, Xiangmo Zhao, Fei-Yue Wang:
Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion. - Éric Colin de Verdière, Vincent Despré, Loïc Dubois:
Untangling Graphs on Surfaces. - Tamio-Vesa Nakajima, Stanislav Zivný:
Maximum k- vs. 𝓁-colourings of graphs. - Shashank Kotyan, Danilo Vasconcellos Vargas:
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation. - Sallar Ahmadi-Pour, Pascal Pieper, Rolf Drechsler:
Virtual-Peripheral-in-the-Loop : A Hardware-in-the-Loop Strategy to Bridge the VP/RTL Design-Gap. - Peter A. Zachares, Vahan Hovhannisyan, Alan Mosca, Yarin Gal:
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements. - Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen:
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. - You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng:
On the Opportunities of Green Computing: A Survey. - Yingxue Fu:
Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation. - David Haink:
Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices. - Xuhai Chen, Jiangning Zhang, Guanzhong Tian, Haoyang He, Wuhao Zhang, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Yong Liu:
CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection. - Yonghui Wang, Wengang Zhou, Hao Feng, Li Li, Houqiang Li:
Progressive Recurrent Network for Shadow Removal. - Yixin Chen, Junfeng Ni, Nan Jiang, Yaowei Zhang, Yixin Zhu, Siyuan Huang:
Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture. - Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
Optimal Budgeted Rejection Sampling for Generative Models. - Heng Dong, Junyu Zhang, Chongjie Zhang:
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. - Sylvain Guillemot:
Parameterized covering in semi-ladder-free hypergraphs. - Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos. - Simon Dirmeier, Fernando Pérez-Cruz:
Diffusion models for probabilistic programming. - Gilles Nawezi, Lucie Flek, Charles Welch:
Style Locality for Controllable Generation with kNN Language Models. - Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. - Recep Can Yavas, Vincent Y. F. Tan:
Fixed-Budget Best-Arm Identification in Sparse Linear Bandits. - Hugo Fry, Seamus Fallows, Ian Fan, Jamie Wright, Nandi Schoots:
Comparing Optimization Targets for Contrast-Consistent Search. - Daniel Neururer, Volker Dellwo, Thilo Stadelmann:
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features. - Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. - Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin:
Intriguing Properties of Data Attribution on Diffusion Models. - Haihao Shen, Hanwen Chang, Bo Dong, Yu Luo, Hengyu Meng:
Efficient LLM Inference on CPUs. - Willem Lambrichts, Jules Mace, Mario Paolone:
Experimental Validation of a Grid-Aware Optimal Control of Hybrid AC/DC Microgrids. - Yichen Huang, Timothy Baldwin:
Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks. - Atsushi Shirafuji, Taku Matsumoto, Md. Faizul Ibne Amin, Yutaka Watanobe:
Rule-Based Error Classification for Analyzing Differences in Frequent Errors. - Kavya Anand, Pramit Saha:
How Hard Is Squash? - Towards Information Theoretic Analysis of Motor Behavior in Squash. - Jonayet Miah, Duc M. Cao, Md. Abu Sayed, Ehsanur Rashid Lipu, Fuad Mahmud, S. M. Yasir Arafat:
Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction. - Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg:
Retrieval-Based Reconstruction For Time-series Contrastive Learning. - Jonas F. Lotz, Elizabeth Salesky, Phillip Rust, Desmond Elliott:
Text Rendering Strategies for Pixel Language Models. - Emmanouil Panagiotou, Eirini Ntoutsi:
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning. - Nairy Moghadas-Gholian, Marco Rossanese, Placido Mursia, Andres Garcia-Saavedra, Arash Asadi, Vincenzo Sciancalepore, Xavier Costa-Pérez:
A Leakage-based Method for Mitigation of Faulty Reconfigurable Intelligent Surfaces. - Marius Zeinhofer, Rami Masri, Kent-André Mardal:
A Unified Framework for the Error Analysis of Physics-Informed Neural Networks. - Jinzhou Lin, Han Gao, Xuxiang Feng, Rongtao Xu, Changwei Wang, Man Zhang, Li Guo, Shibiao Xu:
The Development of LLMs for Embodied Navigation. - Sören Domrös, Reinhard von Hanxleden, Miro Spönemann, Ulf Rüegg, Christoph Daniel Schulze:
The Eclipse Layout Kernel. - Luigi C. Berselli, Alex Kaltenbach:
Error analysis for a finite element approximation of the steady p(·)-Navier-Stokes equations. - kai Wu, Yuanyuan Chen:
Active Noise Control Portable Device Design. - Schyan Zafar, Geoff K. Nicholls:
An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek. - Sébastien Ferré:
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL Principle. - Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay:
Continual atlas-based segmentation of prostate MRI. - Dipankar Sarkar:
Generalised DePIN Protocol: A Framework for Decentralized Physical Infrastructure Networks. - Alan F. Hegarty, Eugene O'Riordan:
A higher order numerical method for singularly perturbed elliptic problems with characteristic boundary layers. - Jieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng, Jianzhu Ma, Yixin Zhu:
ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab. - Pravesh K. Kothari, Peter Manohar:
An Exponential Lower Bound for Linear 3-Query Locally Correctable Codes. - Linxi Yang, Xinmin Yang, Liping Tang:
Learning to optimize by multi-gradient for multi-objective optimization. - Amna Pir Muhammad, Eric Knauss, Jonas Bärgman, Alessia Knauss:
Continuous Experimentation and Human Factors An Exploratory Study. - Xianzhong Long, Chen Peng, Yun Li:
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning. - Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. - Anthony Fuller, Koreen Millard, James R. Green:
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders. - Wei-Ge Chen, Irina Spiridonova, Jianwei Yang, Jianfeng Gao, Chunyuan Li:
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing. - Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet:
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations. - Hansika Weerasena, Prabhat Mishra:
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators. - Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Xiaojin Zhu, Qiaomin Xie:
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. - Evann Courdier, Prabhu Teja Sivaprasad, François Fleuret:
PAUMER: Patch Pausing Transformer for Semantic Segmentation. - Xiaoqian Li, Ercong Nie, Sheng Liang:
Crosslingual Retrieval Augmented In-context Learning for Bangla. - Yu Yang, Xiaotong Shen:
Boosting Summarization with Normalizing Flows and Aggressive Training. - Jianhao Zhang, Shihan Ma, Peihong Liu, Jinhui Yuan:
Coop: Memory is not a Commodity. - Tim Reichelt, Luke Ong, Tom Rainforth:
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support. - Alberto Caron, Xitong Liang, Samuel Livingstone, Jim E. Griffin:
Structure Learning with Adaptive Random Neighborhood Informed MCMC. - Enhao Ning, Changshuo Wang, Huang Zhang, Xin Ning, Prayag Tiwari:
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives. - Sophia Saller, Jana Koehler, Andreas Karrenbauer:
A Systematic Review of Approximability Results for Traveling Salesman Problems leveraging the TSP-T3CO Definition Scheme. - Frank Filbir, Manfred Tasche, Anna Veselovska:
Regularized Shannon sampling formulas related to the special affine Fourier transform. - Marco Casini, Andrea Garulli, Antonio Vicino:
Adaptive Threshold Selection for Set Membership State Estimation with Quantized Measurements. - Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin:
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. - Mark Levy, Bruno Di Giorgi, Floris Weers, Angelos Katharopoulos, Tom Nickson:
Controllable Music Production with Diffusion Models and Guidance Gradients. - Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu:
De-Diffusion Makes Text a Strong Cross-Modal Interface. - Uthman Jinadu, Jesse Annan, Shanshan Wen, Yi Ding:
Loss Modeling for Multi-Annotator Datasets. - Alexander Millane, Helen Oleynikova, Émilie Wirbel, Remo Steiner, Vikram Ramasamy, David Tingdahl, Roland Siegwart:
nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping. - Kamila Barylska, Anna Gogolinska, Lukasz Mikulski, Anna Philippou, Marcin Piatkowski, Kyriaki Psara:
Formal Translation from Reversing Petri Nets to Coloured Petri Nets. - Rafat Tabassum Sukonna, Soham Irtiza Swapnil:
A Bi-level Framework for Traffic Accident Duration Prediction: Leveraging Weather and Road Condition Data within a Practical Optimum Pipeline. - Andrea Giuseppe Di Francesco, Giuliano Giampietro, Indro Spinelli, Danilo Comminiello:
GATSY: Graph Attention Network for Music Artist Similarity. - Runa Eschenhagen, Alexander Immer, Richard E. Turner, Frank Schneider, Philipp Hennig:
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures. - Muhammad Hassan, Yvon Maday, Yipeng Wang:
Analysis of the Single Reference Coupled Cluster Method for Electronic Structure Calculations: The Discrete Coupled Cluster Equations. - Srinivasan H. Sengamedu, Hien Pham:
FAIRLABEL: Correcting Bias in Labels. - David P. Woodruff, Peilin Zhong, Samson Zhou:
Near-Optimal k-Clustering in the Sliding Window Model. - Muhammad Waseem, Teerath Das, Aakash Ahmad, Peng Liang, Tommi Mikkonen:
Understanding the Issues and Causes in WebAssembly Application Development: A Mining-based Study. - Richard Bornemann, Gautier Hamon, Eleni Nisioti, Clément Moulin-Frier:
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning. - Chuhao Wu, Tatiana Chakravorti, John M. Carroll, Sarah Rajtmajer:
Integrating measures of replicability into literature search: Challenges and opportunities. - Eylon Guetta, Omer Goldman, Reut Tsarfaty:
Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew. - Shen Zheng, Changjie Lu, Srinivasa G. Narasimhan:
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain. - Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Semantic Alignment. - Oriol Barbany, Xiaofan Lin, Muhammet Bastan, Arnab Dhua:
ProcSim: Proxy-based Confidence for Robust Similarity Learning. - Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou:
Emotion Detection for Misinformation: A Review. - Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng:
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. - Xue-Yong Fu, Md. Tahmid Rahman Laskar, Cheng Chen, Shashi Bhushan TN:
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs. - Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky:
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation. - Neema Kotonya, Saran Krishnasamy, Joel R. Tetreault, Alejandro Jaimes:
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task. - Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna:
Improving Interpersonal Communication by Simulating Audiences with Language Models. - Shahin Doroudian:
Collaboration in Immersive Environments: Challenges and Solutions. - (Withdrawn) What User Behaviors Make the Differences During the Process of Visual Analytics?
- Mounika Vanamala, Keith Bryant, Alexander Caravella:
Software Repositories and Machine Learning Research in Cyber Security. - Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei:
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. - Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su:
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. - Seyed Mohammad Ebrahim Sharifnia, Faezeh Bagheri, Rupy Sawhney, John E. Kobza, Enrique Macias de Anda, Mostafa Hajiaghaei-Keshteli, Michael Mirrielees:
Decision Support Framework for Home Health Caregiver Allocation: A Case Study of HHC Agency in Tennessee, USA. - Juan Zuluaga-Gomez, Zhaocheng Huang, Xing Niu, Rohit Paturi, Sundararajan Srinivasan, Prashant Mathur, Brian Thompson, Marcello Federico:
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation. - Ross Geuy, Nate Rising, Tiancheng Shi, Meng Ling, Jian Chen:
Can AI Mitigate Human Perceptual Biases? A Pilot Study. - Renato P. dos Santos:
Enhancing Chemistry Learning with ChatGPT, Bing Chat, Bard, and Claude as Agents-to-Think-With: A Comparative Case Study. - Michael Terry, Chinmay Kulkarni, Martin Wattenberg, Lucas Dixon, Meredith Ringel Morris:
AI Alignment in the Design of Interactive AI: Specification Alignment, Process Alignment, and Evaluation Support. - Wei Zhou:
Chat GPT Integrated with Voice Assistant as Learning Oral Chat-based Constructive Communication to Improve Communicative Competence for EFL earners. - Hao Wang:
Is Human Culture Locked by Evolution? - Yogesh Sapkota, Suman Devkota, Vamsi Borra, Pedro Cortes, Frank X. Li, Srikanth Itapu:
Harmonic content analysis of a soft starting variable frequency motor drive based on FPGA. - Md. Rakibul Hasan, Md. Zakir Hossain, Shreya Ghosh, Susannah Soon, Tom Gedeon:
Empathy Detection Using Machine Learning on Text, Audiovisual, Audio or Physiological Signals. - Sudarson Roy Pratihar, Subhadip Paul, Pranab Kumar Dash, Amartya Kumar Das:
Fraud Analytics Using Machine-learning & Engineering on Big Data (FAME) for Telecom. - Benji Alwis:
Investigating Relative Performance of Transfer and Meta Learning. - Louis B. Rosenberg, Gregg Willcox, Hans Schumann:
Towards Collective Superintelligence, a Pilot Study. - Thinh Phan, Khoa Vo, Duy Le, Gianfranco Doretto, Donald A. Adjeroh, Ngan Le:
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection. - Abhishek Kumar, Dong-Gyu Lee:
Enhancing Clustering Representations with Positive Proximity and Cluster Dispersion Learning. - Anna V. Glazkova:
tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis. - Bernhard Andraschko, Julian Danner, Martin Kreuzer:
SAT Solving Using XOR-OR-AND Normal Forms. - Joshua Santoso, Christian Simon, Williem Pao:
On Manipulating Scene Text in the Wild with Diffusion Models. - Bohui Shen, Wei Zhang, Xubiao Liu, Pengfei Yu, Shirui Jiang, Xinchong Shi, Xiangsong Zhang, Xiaoyu Zhou, Weirui Zhang, Bingxuan Li, Qiegen Liu:
PET Tracer Conversion among Brain PET via Variable Augmented Invertible Network. - Dang Nguyen, Phat K. Huynh, Vinh Duc An Bui, Kee Young Hwang, Nityanand Jain, Chau Nguyen, Le Huu Nhat Minh, Le Van Truong, Xuan Thanh Nguyen, Dinh Hoang Nguyen, Le Tien Dung, Trung-Quôc Le, Manh-Huong Phan:
Real-Time Magnetic Tracking and Diagnosis of COVID-19 via Machine Learning. - Yuwei Bao, Keunwoo Peter Yu, Yichi Zhang, Shane Storks, Itamar Bar-Yossef, Alexander De La Iglesia, Megan Su, Xiao-Lin Zheng, Joyce Chai:
Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake? - Naiqing Guan, Kaiwen Chen, Nick Koudas:
Can Large Language Models Design Accurate Label Functions? - Xingjian Bai, Christian Coester:
Sorting with Predictions. - Klemen Kotar, Stephen Tian, Hong-Xing Yu, Daniel L. K. Yamins, Jiajun Wu:
Are These the Same Apple? Comparing Images Based on Object Intrinsics. - Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu:
Learning to Design and Use Tools for Robotic Manipulation. - Carol Neidle:
Challenges for Linguistically-Driven Computer-Based Sign Recognition from Continuous Signing for American Sign Language. - Rahat Islam, Kenneth Lai, Svetlana N. Yanushkevich:
Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense. - Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova:
Language Model Training Paradigms for Clinical Feature Embeddings. - Rishabh Dev Yadav, Brycen Jones, Saksham Gupta, Amitabh Sharma, Jiefeng Sun, Jianguo Zhao, Spandan Roy:
An Integrated Approach to Aerial Grasping: Combining a Bistable Gripper with Adaptive Control. - Dmitriy Rivkin, Francois Robert Hogan, Amal Feriani, Abhisek Konar, Adam Sigal, Steve Liu, Gregory Dudek:
SAGE: Smart home Agent with Grounded Execution. - Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia:
Conformalized Deep Splines for Optimal and Efficient Prediction Sets. - Yuksel Arslantas, Ege Yuceel, Yigit Yalin, Muhammed O. Sayin:
Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games. - Jean Cardinal, Raphael Steiner:
Shortest paths on polymatroids and hypergraphic polytopes. - Swathi Mannem, William Macke, Peter Stone, Reuth Mirsky:
Exploring the Cost of Interruptions in Human-Robot Teaming. - Sanjeev Khanna, Aaron (Louie) Putterman, Madhu Sudan:
Code Sparsification and its Applications. - Joanne Boisson, Luis Espinosa Anke, José Camacho-Collados:
Construction Artifacts in Metaphor Identification Datasets. - Juan David Pabon, Matthew C. Valenti, Xi Yu:
Where to Deploy an Airborne Relay in Unknown Environments: Feasible Locations for Throughput and LoS Enhancement. - Seth Poulsen, Hongxuan Chen, Yael Gertner, Benjamin Cosman, Matthew West, Geoffrey L. Herman:
Measuring the Impact of Distractors on Student Learning Gains while Using Proof Blocks. - Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic counting of planting microsites via local visual detection and global count estimation. - Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis:
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling. - Elie Abboud, Noga Ron-Zewi:
Finer-grained Reductions in Fine-grained Hardness of Approximation. - AmirHosein Fadaei, Mohammad-Reza Abolghasemi Dehaqani:
Beyond Still Images: Robust Multi-Stream Spatiotemporal Networks. - Florian Tambon, Foutse Khomh, Giuliano Antoniol:
GIST: Generated Inputs Sets Transferability in Deep Learning. - Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu:
Neural Field Dynamics Model for Granular Object Piles Manipulation. - Suraj Jyothi Unni, Raha Moraffah, Huan Liu:
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization. - Connor Mclaughlin, Jason Matterer, Michael Yee:
Mahalanobis-Aware Training for Out-of-Distribution Detection. - Afia Abedin, Abdul Bais, Cody Buntain, Laura Courchesne, Brian McQuinn, Matthew E. Taylor, Muhib Ullah:
A Call to Arms: AI Should be Critical for Social Media Analysis of Conflict Zones. - Tarun Kumar Yadav, Austin Cook, Justin Hales, Kent E. Seamons:
InfoGuard: A Design and Usability Study of User-Controlled Application-Independent Encryption for Privacy-Conscious Users. - Karan Thakkar, Jiarui Hai, Mounya Elhilali:
Investigating Self-Supervised Deep Representations for EEG-based Auditory Attention Decoding. - Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer:
PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation. - Jordan Bilich, Michael Varga, Daanish Masood, Andrew Konya:
Faster Peace via Inclusivity: An Efficient Paradigm to Understand Populations in Conflict Zones. - Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu:
Synthesis and verification of robust-adaptive safe controllers. - Edith Luhanga, Karen Sowon, Lorrie Faith Cranor, Giulia Fanti, Conrad Tucker, Assane Gueye:
User Experiences with Third-Party SIM Cards and ID Registration in Kenya and Tanzania. - Yanlin Feng, Adithya Pratapa, David R. Mortensen:
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing. - Itamar Mishani, Hayden Feddock, Maxim Likhachev:
Constant-time Motion Planning with Anytime Refinement for Manipulation. - Lucas Gretta, Eric Price:
Sharp Noisy Binary Search with Monotonic Probabilities. - Naresh Kshetri, James Hutson, Revathy G:
healthAIChain: Improving security and safety using Blockchain Technology applications in AI-based healthcare systems. - Mohammed Barhoush, Louis Salvail:
Pseudo-Deterministic One-Way Functions from Pseudorandom States. - Muhieddine Shebaro, Jelena Tesic:
ABCD: Algorithm for Balanced Component Discovery in Signed Networks. - Zhuo Yao, Wei Wang:
An efficient tangent based topologically distinctive path finding for grid maps. - Loukas Georgiadis, Evangelos Kosinas, Daniel Tsokaktsis:
2-Fault-Tolerant Strong Connectivity Oracles. - Dinesh Sharma, Ankit Shah, Chaitra Gopalappa:
A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. Ending the HIV Epidemic Plan. - Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. - Ziqing Lu, Guanlin Liu, Lifeng Lai, Weiyu Xu:
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems. - Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam:
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning. - Lucia Quirke, Lovis Heindrich, Wes Gurnee, Neel Nanda:
Training Dynamics of Contextual N-Grams in Language Models. - Matthias Gerstgrasser, Tom Danino, Sarah Keren:
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. - Yujia Zheng, Kun Zhang:
Generalizing Nonlinear ICA Beyond Structural Sparsity. - Muhieddine Shebaro, Jelena Tesic:
Scaling Frustration Index and Corresponding Balanced State Discovery for Real Signed Graphs. - Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni:
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models. - Konstantine Sadov, Matthew Hutter, Asara Near:
Low-latency Real-time Voice Conversion on CPU. - Jinchao Feng, Ming Zhong:
Learning Collective Behaviors from Observation. - Jaafar Mhamed, Shangding Gu:
SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization. - Lorenzo Ciardo, Stanislav Zivný:
Semidefinite programming and linear equations vs. homomorphism problems. - Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox:
Improving the accuracy and scalability of large-scale physics-based data-driven reduced modeling via domain decomposition. - Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. - Ammar Tahir, Yueshen Li, Jianli Jin, Changxin Zhang, Daniel Moon, Aganze Mihigo, Muhammad Taimoor Tariq, Deepak Vasisht, Radhika Mittal:
Centralized Management of a Wifi Mesh for Autonomous Farms. - Pau Romero, Abel Pedrós, Rafael Sebastián, Miguel Lozano, Ignacio García-Fernández:
Robust inter-patient comparison and analysis of blood vessels through the univocal definition of point coordinates. - Mohammed Latif Siddiq, Joanna C. S. Santos:
Generate and Pray: Using SALLMS to Evaluate the Security of LLM Generated Code. - Javier Marinkovic, José A. Soto, Victor Verdugo:
Online Combinatorial Assignment in Independence Systems. - Vincent Cohen-Addad, Chenglin Fan, Suprovat Ghoshal, Euiwoong Lee, Arnaud de Mesmay, Alantha Newman, Tony Chang Wang:
A PTAS for 𝓁0-Low Rank Approximation: Solving Dense CSPs over Reals. - Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra:
In-Context Prompt Editing For Conditional Audio Generation. - Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
On The Open Prompt Challenge In Conditional Audio Generation. - Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao:
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. - Diane Jackson, Sorin Adam Matei, Elisa Bertino:
Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report. - Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du:
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition. - Qianfeng Shen, Paul Chow:
A Lightweight Routing Layer Using a Reliable Link-Layer Protocol. - Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar:
Self-Influence Guided Data Reweighting for Language Model Pre-training. - Zedian Xiao, William Held, Yanchen Liu, Diyi Yang:
Task-Agnostic Low-Rank Adapters for Unseen English Dialects. - Fengyi Wu, Tianfang Zhang, Lei Li, Yian Huang, Zhenming Peng:
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection. - Jiacheng Li, Ninghui Li, Bruno Ribeiro:
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. - Sameer Deshmukh, Qinxiang Ma, Rio Yokota, George Bosilca:
O(N) distributed direct factorization of structured dense matrices using runtime systems. - Junfu Wang, Yawen Li, Zhe Xue, Ang Li:
Research Team Identification Based on Representation Learning of Academic Heterogeneous Information Network. - Hang Chen, Keqing Du, Chenguang Li, Xinyu Yang:
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations. - Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel:
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. - Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox:
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. - Hyungtae Lim, Beomsoo Kim, Daebeom Kim, Eungchang Mason Lee, Hyun Myung:
Quatro++: Robust Global Registration Exploiting Ground Segmentation for Loop Closing in LiDAR SLAM. - Kamel Alrashedy, Vincent J. Hellendoorn, Alessandro Orso:
Learning Defect Prediction from Unrealistic Data. - Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Towards High-quality HDR Deghosting with Conditional Diffusion Models. - Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi Abdelwahed, Hugo Larochelle, David Rolnick:
SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data. - Niket Patel, Luis Salamanca, Luis Barba:
Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance. - Yifei Sun, Bojie Lv, Rui Wang, Haisheng Tan, Francis C. M. Lau:
Dynamic Uploading Scheduling in mmWave-Based Sensor Networks via Mobile Blocker Detection. - Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li:
Gaussian Mixture Solvers for Diffusion Models. - Joanna C. S. Santos, Mehdi Mirakhorli, Ali Shokri:
Sound Call Graph Construction for Java Object Deserialization. - Yuan Gao, Nobuyuki Morioka, Yu Zhang, Nanxin Chen:
E3 TTS: Easy End-to-End Diffusion-based Text to Speech. - Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Ping Zhang, Shuguang Cui, Xuemin Shen, Shiwen Mao, Zhu Han, Abbas Jamalipour, H. Vincent Poor, Dong In Kim:
The Age of Generative AI and AI-Generated Everything. - Shijie Ma, Huayi Xu, Mengjian Li, Weidong Geng, Meng Wang, Yaxiong Wang:
Optimal Noise pursuit for Augmenting Text-to-Video Generation. - Hassen Nigatu, Doik Kim:
Workspace optimization of 1T2R parallel manipulators with a dimensionally homogeneous constraint-embedded Jacobian. - Wanyu Du, Yangfeng Ji:
Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation. - Muhammad Dehan Al Kautsar, Rahmah Khoirussyifa' Nurdini, Samuel Cahyawijaya, Genta Indra Winata, Ayu Purwarianti:
IndoToD: A Multi-Domain Indonesian Benchmark For End-to-End Task-Oriented Dialogue Systems. - Weikang Chen, Junping Du, Yingxia Shao, Jia Wang, Yangxi Zhou:
Dynamic Fair Federated Learning Based on Reinforcement Learning. - Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi:
Trajectory Similarity Measurement: An Efficiency Perspective. - Zhouqiang Jiang, Bowen Wang, Tong Xiang, Zhaofeng Niu, Hong Tang, Guangshun Li, Liangzhi Li:
Concatenated Masked Autoencoders as Spatial-Temporal Learner. - Xiuli Bi, Bo Liu, Fan Yang, Bin Xiao, Weisheng Li, Gao Huang, Pamela C. Cosman:
Detecting Generated Images by Real Images Only. - Chengyao Wen, Yin Lou:
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. - Haoxiang Wang, Gargi Balasubramaniam, Haozhe Si, Bo Li, Han Zhao:
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms. - Keisuke Shirai, Cristian C. Beltran-Hernandez, Masashi Hamaya, Atsushi Hashimoto, Shohei Tanaka, Kento Kawaharazuka, Kazutoshi Tanaka, Yoshitaka Ushiku, Shinsuke Mori:
Vision-Language Interpreter for Robot Task Planning. - Jaeyong Kang, Soujanya Poria, Dorien Herremans:
Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model. - Feiyu Yang:
An Integrated Framework Integrating Monte Carlo Tree Search and Supervised Learning for Train Timetabling Problem. - Li Fan, Ruida Zhou, Chao Tian, Cong Shen:
Federated Linear Bandits with Finite Adversarial Actions. - Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez, Rajkumar Buyya:
CloudSim Express: A Novel Framework for Rapid Low Code Simulation of Cloud Computing Environments. - Bin-Bin Hu, Hai-Tao Zhang, Weijia Yao, Jianing Ding, Ming Cao:
Spontaneous-Ordering Platoon Control for Multirobot Path Navigation Using Guiding Vector Fields. - Bin-Bin Hu, Hai-Tao Zhang, Yang Shi:
Cooperative Label-Free Moving Target Fencing for Second-Order Multi-Agent Systems with Rigid Formation. - Weixi Wang, Xichen Zhong, Xin Li, Sizhe Li, Xun Ma:
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation. - Wei-Hsin Yeh, Pei-Hsin Lin, Yu-An Su, Wen-Hsiang Cheng, Lun-Wei Ku:
MAAIG: Motion Analysis And Instruction Generation. - Huan Zhou, Xiaoni Du, Wenping Yuan, Xingbin Qiao:
The c-differential properties of a class of power functions. - Md Shafikul Islam, Azmine Toushik Wasi:
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks. - Nowshin Nawar Arony, Ze Shi Li, Bowen Xu, Daniela E. Damian:
Inclusiveness Matters: A Large-Scale Analysis of User Feedback. - Hang Zhang:
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object Detection. - Yiming Cui, Cheng Han, Dongfang Liu:
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation. - Frank Regal, Steven Swanbeck, Fabian Parra, Jared Rosenbaum, Mitch Pryor:
Using Augmented Reality to Assess and Modify Mobile Manipulator Surface Repair Plans. - Hong Chen, Xin Wang, Guanning Zeng, Yipeng Zhang, Yuwei Zhou, Feilin Han, Wenwu Zhu:
VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning. - Jamsheed Manja Ppallan, Ruchi Pandey, Yellappa Damam, Vijay Narayan Tiwari, Karthikeyan Arunachalam, Antariksha Ray:
IR-UWB Radar-based Situational Awareness System for Smartphone-Distracted Pedestrians. - Sergey Bereg:
Computing random r-orthogonal Latin squares. - Xueying Long, Quang Bui, Grady Oktavian, Daniel F. Schmidt, Christoph Bergmeir, Rakshitha Godahewa, Seong Per Lee, Kaifeng Zhao, Paul Condylis:
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach. - Kim Sung-Bin, Lee Hyun, Da Hye Hong, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh:
LaughTalk: Expressive 3D Talking Head Generation with Laughter. - Hrishikesh Sharma:
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision. - Lucky Susanto, Ryandito Diandaru, Adila Krisnadhi, Ayu Purwarianti, Derry Wijaya:
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia. - Haechang Lee, Wongi Jeong, Dongil Ryu, Hyunwoo Je, Albert No, Kijeong Kim, Se Young Chun:
Fully Quantized Always-on Face Detector Considering Mobile Image Sensors. - Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee:
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. - Chen Qian, Rui Chen, Peiyao Shen, Yongchun Fang, Jifu Yan, Tiefeng Li:
Minimum Snap Trajectory Generation and Control for an Under-actuated Flapping Wing Aerial Vehicle. - Gaoang Wang, Zhenyu Zhang, Benlu Wang, Weijie Liang, Yizhi Li, Xuechen Guo, Guanhong Wang, Shiyan Li:
Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning. - Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag:
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. - Sanjit Bhowmick, Deepak Kumar Dalai, Sihem Mesnager:
On Linear Complementary Pairs of Algebraic Geometry Codes over Finite Fields. - Deval Mehta, Brigid Betz-Stablein, Toàn D. Nguyên, Yaniv Gal, Adrian Bowling, Martin Haskett, Maithili Sashindranath, C. Paul Bonnington, Victoria Mar, H. Peter Soyer, Zongyuan Ge:
Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis. - Borui Zhang, Baotong Tian, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Exploring Unified Perspective For Fast Shapley Value Estimation. - Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell:
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. - Haryo Akbarianto Wibowo, Erland Hilman Fuadi, Made Nindyatama Nityasya, Radityo Eko Prasojo, Alham Fikri Aji:
COPAL-ID: Indonesian Language Reasoning with Local Culture and Nuances. - Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma:
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. - Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Yang Wei, Li Yuan:
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs. - Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma:
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. - Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun:
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. - Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, Junmo Kim:
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. - Xiyu Zhou, Peng Liang, Beiqi Zhang, Zengyang Li, Aakash Ahmad, Mojtaba Shahin, Muhammad Waseem:
On the Concerns of Developers When Using GitHub Copilot. - Kottakota Asish, P. Sarath Teja, R. Kishan Chander, D. Deva Hema:
NeuroWrite: Predictive Handwritten Digit Classification using Deep Neural Networks. - Yanming Guo:
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation. - Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang:
Distance-Based Propagation for Efficient Knowledge Graph Reasoning. - Sungjune Park, Hyunjun Kim, Yong Man Ro:
Incorporating Language-Driven Appearance Knowledge Units with Visual Cues in Pedestrian Detection. - Hao Sun:
A Constant Factor Approximation for Directed Feedback Vertex Set in Graphs of Bounded Genus. - Hao Niu, Yun Xiong, Xiaosu Wang, Philip S. Yu:
Joint Learning of Local and Global Features for Aspect-based Sentiment Classification. - Keigo Takeuchi:
Decentralized Generalized Approximate Message-Passing for Tree-Structured Networks. - Wang-Tao Zhou, Zhao Kang, Ling Tian:
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction. - Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu, Zhihai He:
Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation. - JB. Kim, Hazel Kim, Joonghyuk Hahn, Yo-Sub Han:
ATHENA: Mathematical Reasoning with Thought Expansion. - Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang:
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. - Poompak Kusawat, Surat Teerakapibal:
Cross-cultural electronic word-of-mouth: a systematic literature review. - Poompak Kusawat, Surat Teerakapibal:
The Roles of Culture in Online User Reviews: An Empirical Investigation. - Lang Cao:
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism. - Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan:
LLM4Drive: A Survey of Large Language Models for Autonomous Driving. - Futoshi Futami, Masahiro Fujisawa:
Time-Independent Information-Theoretic Generalization Bounds for SGLD. - Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow:
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. - Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy Nguyen, Thanh Pham:
AI-assisted Learning for Electronic Engineering Courses in High Education. - Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy Nguyen, Thanh Pham:
Multi-dimensional data refining strategy for effective fine-tuning LLMs. - Chetna Singhal, Subhrajit Barick, Rishabh Sonkar:
Application and Energy-Aware Data Aggregation using Vector Synchronization in Distributed Battery-less IoT Networks. - Poompak Kusawat:
Sponsorship Disclosure in Native Advertising: A Theoretical Framework. - Alejandro Díaz-Caro, Emmanuel Hainry, Romain Péchoux, Mário Silva:
A feasible and unitary programming language with quantum control. - Pol Henarejos, Xavier Artiga, Miguel Ángel Vázquez, Màrius Caus, Musbah Shaat, Joan Bas, Lluís Blanco, Ana I. Pérez-Neira:
From 5G to 6G: Revolutionizing Satellite Networks through TRANTOR Foundation. - Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie:
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. - Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno:
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. - Annie S. Chen, Govind Chada, Laura M. Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn:
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment. - Lennart Bader, Jan Pennekamp, Emildeon Thevaraj, Maria Spiß, Salil S. Kanhere, Klaus Wehrle:
Reputation Systems for Supply Chains: The Challenge of Achieving Privacy Preservation. - Paolo Viviani, Ilaria Gesmundo, Elios Ghinato, Andres Y. Agudelo-Toro, Chiara Vercellino, Giacomo Vitali, Letizia Bergamasco, Alberto Scionti, Marco Ghislieri, Valentina Agostini, Olivier Terzo, Hansjörg Scherberger:
Deep Learning for real-time neural decoding of grasp. - Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan Lavista Ferres:
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. - Congrui Hetang, Yuping Wang:
Novel View Synthesis from a Single RGBD Image for Indoor Scenes. - Thomas Palmeira Ferraz, Marcely Zanon Boito, Caroline Brun, Vassilina Nikoulina:
DistilWhisper: Efficient Distillation of Multi-task Speech Models via Language-Specific Experts. - Ljubisa Stankovic, Milos Dakovic, Ali Bagheri Bardi, Milos Brajovic, Isidora Stankovic:
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding. - Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen:
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. - Johannes Rauch, Dieter Rautenbach, Uéverton S. Souza:
On Conflict-Free Cuts: Algorithms and Complexity. - Samuel A. Prieto, Nikolaos Giakoumidis, Borja Garcia de Soto:
Multi-agent robotic systems and exploration algorithms: Applications for data collection in construction sites. - Anne Papenfuss, Maria Stolz, Nele Riedesel, Franziska Dunkel, Johannes Maria Ernst, Tim Laudien, Helge Lenz, Aytek Korkmaz, Albert End, Bianca Isabella Schuchardt:
Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi. - Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Infusion: Internal Diffusion for Video Inpainting. - Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu:
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. - Lijian Xu, Ziyu Ni, Xinglong Liu, Xiaosong Wang, Hongsheng Li, Shaoting Zhang:
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation. - Adam Karczmarz:
Max s, t-Flow Oracles and Negative Cycle Detection in Planar Digraphs. - Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. - Yusuke Tsunoda, Yuya Sato, Koichi Osuka:
GREEMA: Proposal and Experimental Verification of Growing Robot by Eating Environmental MAterial for Landslide Disaster. - Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. - Tomás Karella, Filip Sroubek, Jan Flusser, Jan Blazek, Vasek Kosik:
H-NeXt: The next step towards roto-translation invariant networks. - Gholamreza Ramezan, Manvir Schneider, Mel McCann:
A Survey on Coin Selection Algorithms in UTXO-based Blockchains. - Sebastiano Cultrera di Montesano, Herbert Edelsbrunner, Monika Henzinger, Lara Ost:
Dynamically Maintaining the Persistent Homology of Time Series. - Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. - Mohammadamin Tavakoli, Yin Ting T. Chiu, Alexander Shmakov, Ann Marie Carlton, David Van Vranken, Pierre Baldi:
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. - Wenfeng Wu, Luping Xiang, Qiang Liu, Kun Yang:
Deep Joint Source-Channel Coding for DNA Image Storage: A Novel Approach with Enhanced Error Resilience and Biological Constraint Optimization. - Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. - Niv Buchbinder, Moran Feldman:
Constrained Submodular Maximization via New Bounds for DR-Submodular Functions. - Michela Perino, Michele Ginolfi, Anna Candida Felici, Michela Rosellini:
A deep learning experiment for semantic segmentation of overlapping characters in palimpsests. - Anne van der Horst, Bas Meere, Dinesh Krishnamoorthy, Saray Bakker, Bram van de Vrande, Henry Stoutjesdijk, Marco Alonso, Elena Torta:
A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers. - Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters:
Generating QM1B with PySCFIPU. - Karen-Helene Støverud, David Bouget, André Pedersen, Håkon Olav Leira, Thomas Langø, Erlend Fagertun Hofstad:
AeroPath: An airway segmentation benchmark dataset with challenging pathology. - David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann:
Add and Thin: Diffusion for Temporal Point Processes. - Clément L. Canonne, Joy Qiping Yang:
Simpler Distribution Testing with Little Memory. - Angus Addlesee, Ioannis Papaioannou, Oliver Lemon:
Building for Speech: Designing the Next Generation of Social Robots for Audio Interaction. - Jianghao Chen, Pu Jian, Tengxiao Xi, Yidong Yi, Qianlong Du, Chenglin Ding, Guibo Zhu, Chengqing Zong, Jinqiao Wang, Jiajun Zhang:
ChineseWebText: Large-scale High-quality Chinese Web Text Extracted with Effective Evaluation Model. - Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao:
Revisiting the Knowledge Injection Frameworks. - Ella Rabinovich, Samuel Ackerman, Orna Raz, Eitan Farchi, Ateret Anaby-Tavor:
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency. - Chantal Amrhein, Nikita Moghe, Liane Guillou:
ACES: Translation Accuracy Challenge Sets at WMT 2023. - MohammadHossein Homaei, Oscar Mogollon-Gutierrez, José Carlos Sancho Núñez, Mar Avila Vegas, Andrés Caro Lindo:
A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence. - Menglin Wang, Xiaojin Gong:
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identification. - Dibakar Das:
Several Consequences of Optimality. - Kang-il Lee, Segwang Kim, Kyomin Jung:
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering. - Kasra Lekan, Nicki Choquette:
Insight Into SEER. - Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Shijin Wang, Cong Liu, Enhong Chen:
Generative Input: Towards Next-Generation Input Methods Paradigm. - Hu Zhou, Bowen Cai, Qianqian Zhang, Ruizhe Long, Yiyang Pei, Ying-Chang Liang:
Modulation Design and Optimization for RIS-Assisted Symbiotic Radios. - Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan:
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. - Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti:
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. - Koen de Vos, Elena Torta, Herman Bruyninckx, César A. López Martínez, M. J. G. van de Molengraft:
Automatic Configuration of Multi-Agent Model Predictive Controllers based on Semantic Graph World Models. - Alzahraa Elsayed, Khalil Mohamed, Hany Harb:
Enhanced Traffic Congestion Management with Fog Computing: A Simulation-based Investigation using iFog-Simulator. - Ivan V. Latkin:
A correspondence between the time and space complexity. - Al Zahraa Elsayed, Khalil Mohamed, Hany Harb:
Revolutionizing Healthcare Image Analysis in Pandemic-Based Fog-Cloud Computing Architectures. - Anuja Vats, David Völgyes, Martijn Vermeer, Marius Pedersen, Kiran B. Raja, Daniele S. M. Fantin, Jacob Alexander Hay:
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. - Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu:
VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification. - Hyeongjin Kim, Sangwon Kim, Jong Taek Lee, ByoungChul Ko:
Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network. - Shrey Jain, Zoë Hitzig, Pamela Mishkin:
Contextual Confidence and Generative AI. - Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet:
Batch Bayesian Optimization for Replicable Experimental Design. - Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han:
Combating Bilateral Edge Noise for Robust Link Prediction. - Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian:
AiluRus: A Scalable ViT Framework for Dense Prediction. - Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth:
Gaussian Processes on Cellular Complexes. - Evangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim Nivre:
A Study of Continual Learning Under Language Shift. - Berrenur Saylam, Özlem Durmaz Incel:
Federated Learning on Edge Sensing Devices: A Review. - Yifan Xie, Jihua Zhu, Shiqi Li, Pengcheng Shi:
Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration. - Lorenz Kummer, Samir Moustafa, Nils M. Kriege, Wilfried N. Gansterer:
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent. - Chun Liu, Longwei Yang, Zheng Li, Wei Yang, Zhigang Han, Jianzhong Guo, Junyong Yu:
Multi-view Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification. - Xiongzheng Li, Jinsong Zhang, Yu-Kun Lai, Jingyu Yang, Kun Li:
High-Quality Animatable Dynamic Garment Reconstruction from Monocular Videos. - Yuanrui Zhang, Xinxin Liu:
Image Reflection on LLEE Charts - Another Proof for the Completeness of an Axiomatization of 1-Free Regular Expressions Modulo Bisimilarity. - Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, Weinan Zhang:
Diffusion Models for Reinforcement Learning: A Survey. - Henna Kokkonen, Susanna Pirttikangas, Lauri Lovén:
EISim: A Platform for Simulating Intelligent Edge Orchestration Solutions. - Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu:
Optimal Transport-Guided Conditional Score-Based Diffusion Models. - Jayateja Kalla, Soma Biswas:
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning. - Yong Zeng, Siyuan Liu, Zhiwei Xu, Jie Tian:
Theoretical Analysis of Impact of Delayed Updates on Decentralized Federated Learning. - Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas:
Multi-Operational Mathematical Derivations in Latent Space. - Jiwan Chung, Youngjae Yu:
Long Story Short: a Summarize-then-Search Method for Long Video Question Answering. - Ryen W. White:
Navigating Complex Search Tasks with AI Copilots. - Fernando Alonso-Fernandez, Kiran B. Raja, Christoph Busch, Josef Bigün:
Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition. - Yiangos Georgiou, Marios Loizou, Tom Kelly, Melinos Averkiou:
FacadeNet: Conditional Facade Synthesis via Selective Editing. - Nir Oren:
Revisiting MAB based approaches to recursive delegation. - John Daly, Daniel Casper, Muhammad Farooq, Andrew James, Ali Khan, Phoenix Mulgrew, Daniel Tyebkhan, Bao Vo, John Rieffel:
Robustness for Free: Quality-Diversity Driven Discovery of Agile Soft Robotic Gaits. - Morgan Reece, Theodore Edward Lander Jr., Sudip Mittal, Nidhi Rastogi, Josiah Dykstra, Andy Sampson:
Emergent (In)Security of Multi-Cloud Environments. - Trevor Ablett, Oliver Limoyo, Adam Sigal, Affan Jilani, Jonathan Kelly, Kaleem Siddiqi, Francois Robert Hogan, Gregory Dudek:
Push it to the Demonstrated Limit: Multimodal Visuotactile Imitation Learning with Force Matching. - Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao:
Sanitized Clustering against Confounding Bias. - Moritz Schmidt, Claudia Meitinger:
A Concept for User-Centered Delegation of Abstract High-Level Tasks to Cobots for Flexible Lot Sizes. - Kevin R. McKee:
Human participants in AI research: Ethics and transparency in practice. - Sinan Gultekin, Achille Globo, Andrea Zugarini, Marco Ernandes, Leonardo Rigutini:
An energy-based comparative analysis of common approaches to text classification in the Legal domain. - Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis, Steven Carr, Mustafa O. Karabag, Cyrus Neary, Parham Gohari, Ufuk Topcu:
Formal Methods for Autonomous Systems. - Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders. - Markus Bause, Sebastian Franz:
Structure preserving discontinuous Galerkin approximation of a hyperbolic-parabolic system. - Qing Huang, Yanbang Sun, Zhenchang Xing, Yuanlong Cao, Jieshan Chen, Xiwei Xu, Huan Jin, Jiaxing Lu:
Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference. - Han Xue, Yutong Li, Wenqiang Xu, Huanyu Li, Dongzhe Zheng, Cewu Lu:
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding. - Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagner:
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. - Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki, Seyed Abolghasem Mirroshandel, Owen Rambow:
Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations. - Róisín Hill, Niall Madden:
Layer-adapted meshes for singularly perturbed problems via mesh partial differential equations and a posteriori information. - Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han:
Long-Range Neural Atom Learning for Molecular Graphs. - Seyed Samie Mostafavi, Vishnu Narayanan Moothedath, Stefan Rönngren, Neelabhro Roy, Gourav Prateek Sharma, Sangwon Seo, Manuel Osvaldo Jesus Olguin Muñoz, James Gross:
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications. - Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang:
FlashDecoding++: Faster Large Language Model Inference on GPUs. - Hamid Ahmadabadi, Omid Nejati Manzari, Ahmad Ayatollahi:
Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition. - Junmin Gu, Paul Lin, Kesheng Wu, Seung-Hoe Ku, Choong-Seock Chang, Randy Michael Churchill, Jong Choi, Norbert Podhorszki, Scott Klasky:
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. - Hermes McGriff, Renato Martins, Nicolas Andreff, Cédric Demonceaux:
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images. - Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler:
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. - Javier González Hernández, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Oravkin, Emre Kiciman, Aditya V. Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon:
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. - Matthias Heizmann, Dominik Klumpp, Frank Schüssele, Lars Nitzke:
Petrification: Software Model Checking for Programs with Dynamic Thread Management (Extended Version). - Linan Zheng, Jiale Chen, Pengsheng Liu, Guangfa Zhang, Jinyun Fang:
VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation. - Baisong Li, Xingwang Wang, Haixiao Xu:
AWEQ: Post-Training Quantization with Activation-Weight Equalization for Large Language Models. - Lovisa Hagström, Denitsa Saynova, Tobias Norlund, Moa Johansson, Richard Johansson:
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models. - Badri N. Patro, Vijay Srinivas Agneeswaran:
Scattering Vision Transformer: Spectral Mixing Matters. - Li Li, Xiang Gao, Hailong Sun, Chunming Hu, Xiaoyu Sun, Haoyu Wang, Haipeng Cai, Ting Su, Xiapu Luo, Tegawendé F. Bissyandé, Jacques Klein, John C. Grundy, Tao Xie, Haibo Chen, Huaimin Wang:
Software Engineering for OpenHarmony: A Research Roadmap. - Ghazaleh Haratinezhad Torbati, Anna Tigunova, Andrew Yates, Gerhard Weikum:
Recommendations by Concise User Profiles from Review Text. - Daniel Hausmann, Merlin Humml, Simon Prucker, Lutz Schröder, Aaron Strahlberger:
Generic Model Checking for Modal Fixpoint Logics in COOL-MC. - Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. - Vasileios Koutavas, Yu-Yang Lin, Nikos Tzevelekos:
Pushdown Normal-Form Bisimulation: A Nominal Context-Free Approach to Program Equivalence. - Alla Chepurova, Aydar Bulatov, Yuri Kuratov, Mikhail Burtsev:
Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information. - Wanteng Ma, Dong Xia, Jiashuo Jiang:
High-dimensional Linear Bandits with Knapsacks. - Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. - Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. - Leihui Li, Xingyu Yang, Riwei Wang, Xuping Zhang:
Automatic Robot Hand-Eye Calibration Enabled by Learning-Based 3D Vision. - Chi Ho Leung, William E. Retnaraj, Ashish R. Hota, Philip E. Paré:
Adaptive Identification of SIS Models. - Jörn Bodenhausen, Christian Sorgatz, Thomas Vogt, Kolja Grafflage, Sebastian Rötzel, Michael Rademacher, Martin Henze:
Securing Wireless Communication in Critical Infrastructure: Challenges and Opportunities. - Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Collaborative Large Language Model for Recommender Systems. - Raphaël Joud, Pierre-Alain Moëllic, Simon Pontie, Jean-Baptiste Rigaud:
Like an Open Book? Read Neural Network Architecture with Simple Power Analysis on 32-bit Microcontrollers. - Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Unreading Race: Purging Protected Features from Chest X-ray Embeddings. - Julian Fritzsch, Philippe Jacquod:
A Novel Adaptive Inertia Strategy in Large-Scale Electric Power Grids. - Eric Goubault, Roman Kniazev, Jérémy Ledent, Sergio Rajsbaum:
Simplicial Models for the Epistemic Logic of Faulty Agents. - Romain Cosson, Laurent Massoulié:
Collective Tree Exploration via Potential Function Method. - Tianyi Wang, Mengxiao Huang, Harry Cheng, Bin Ma, Yinglong Wang:
Robust Identity Perceptual Watermark Against Deepfake Face Swapping. - Xinlu Zhang, Yujie Lu, Weizhi Wang, An Yan, Jun Yan, Lianke Qin, Heng Wang, Xifeng Yan, William Yang Wang, Linda Ruth Petzold:
GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks. - Juan Andrés Vásquez-Peralvo, Jorge Querol, Eva Lagunas, Flor Ortiz, Luis Manuel Garcés Socarrás, Jorge Luis González Rios, Victor Monzon Baeza, Symeon Chatzinotas:
Genetic Algorithm-based Beamforming in Subarray Architectures for GEO Satellites. - Luyang Lin, Jing Li, Kam-Fai Wong:
Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese Media Bias Detection. - Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu:
Recognize Any Regions. - Wonjun Lee, Yifei Yang, Dongmian Zou, Gilad Lerman:
Monotone Generative Modeling via a Gromov-Monge Embedding. - Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong:
Vision-Language Foundation Models as Effective Robot Imitators. - Bryce L. Ferguson, Dario Paccagnan, Bary S. R. Pradelski, Jason R. Marden:
Collaborative Decision-Making and the k-Strong Price of Anarchy in Common Interest Games. - Gabriele M. Caddeo, Andrea Maracani, Paolo Didier Alfano, Nicola A. Piga, Lorenzo Rosasco, Lorenzo Natale:
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors. - Yuhan Zhang, Edward Gibson, Forrest Davis:
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics. - Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun:
Learning Realistic Traffic Agents in Closed-loop. - Youyuan Zhang, Sashank Gondala, Thiago Fraga-Silva, Christophe Van Gysel:
Server-side Rescoring of Spoken Entity-centric Knowledge Queries for Virtual Assistants. - Andrea Tagliabue, Kota Kondo, Tong Zhao, Mason B. Peterson, Claudius T. Tewari, Jonathan P. How:
REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. - Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal:
Learning to See Physical Properties with Active Sensing Motor Policies. - Stefan Kambiz Behfar, Jon Crowcroft:
Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability. - Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga:
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. - Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li:
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. - Abdellah Rahmani, Pascal Frossard:
Castor: Causal Temporal Regime Structure Learning. - Carlos Gustavo López Pombo, Agustín E. Martinez Suñé, Emilio Tuosto:
A Dynamic Temporal Logic for Quality of Service in Choreographic Models. - Carlos Gustavo López Pombo, Agustín E. Martinez Suñé, Emilio Tuosto:
MoCheQoS: Automated Analysis of Quality of Service Properties of Communicating Systems. - Vaibhav Saxena, Yotto Koga, Danfei Xu:
Constrained-Context Conditional Diffusion Models for Imitation Learning. - Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. - Jen-Hao Cheng, Sheng-Yao Kuan, Hugo Latapie, Gaowen Liu, Jenq-Neng Hwang:
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar. - Md Gulzar Hussain, Shiren Ye:
Identifying Alzheimer Disease Dementia Levels Using Machine Learning Methods. - Javad Mirzapour Kaleybar, Hooman Khaloo, Avaz Naghipour:
Efficient Vision Transformer for Accurate Traffic Sign Detection. - Lei M. Li:
Empirical Lossless Compression Bound of a Data Sequence. - Xinyi Li, Zijian Ma, Yinlong Liu, Walter Zimmer, Hu Cao, Feihu Zhang, Alois Knoll:
Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior. - Wei Ma, Chenguang Zhu, Ye Liu, Xiaofei Xie, Yi Li:
A Comprehensive Study of Governance Issues in Decentralized Finance Applications. - Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc:
Tailoring Mixup to Data using Kernel Warping functions. - Xinyuan Cao, Santosh S. Vempala:
Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time. - Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang:
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. - Valentino Assandri, Sam Heshmati, Burhaneddin Yaman, Anton Iakovlev, Ariel Emiliano Repetur:
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models. - Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. - Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. - Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun:
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. - Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun:
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. - Chau Minh Pham, Alexander Miserlis Hoyle, Simeng Sun, Mohit Iyyer:
TopicGPT: A Prompt-based Topic Modeling Framework. - Vint Lee, Pieter Abbeel, Youngwoon Lee:
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing. - Anna Yesypenko, Per-Gunnar Martinsson:
Randomized Strong Recursive Skeletonization: Simultaneous compression and factorization of H-matrices in the Black-Box Setting. - Ioana Pintilie, Andrei Manolache, Florin Brad:
Time Series Anomaly Detection using Diffusion-based Models. - Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. - Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Zackory Erickson, David Held, Chuang Gan:
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. - Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik:
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts. - Tal Reiss, Bar Cavia, Yedid Hoshen:
Detecting Deepfakes Without Seeing Any. - Jameel Hassan, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. - Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart M. Shieber:
Implicit Chain of Thought Reasoning via Knowledge Distillation. - Jakub Wyczik:
The Property Law of Crypto Tokens. - Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. - Muhammad Aurangzeb Ahmad, Ilker Yaramis, Taposh Dutta Roy:
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI. - Ludovico Bruni Bruno, Matteo Semplice, Stefano Serra-Capizzano:
The numerical linear algebra of weights: from the spectral analysis to conditioning and preconditioning in the Laplacian case. - Manuel R. Ciosici, Alex Hedges, Yash Kankanampati, Justin Martin, Marjorie Freedman, Ralph M. Weischedel:
Remember what you did so you know what to do next. - Avalon Vinella, Margaret Capetz, Rebecca Pattichis, Christina Chance, Reshmi Ghosh:
Leveraging Language Models to Detect Greenwashing. - Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen, Rebecca Dawson, Aditya Joshi, Samsung Lim, C. Raina MacIntyre, Deepti Gurdasani:
Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance. - Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu:
Adversarial Examples in the Physical World: A Survey. - Andrzej Salwicki:
A new proof of Euclid's algorithm. - Isaac Wasserman, Jeová Farias Sales Rocha Neto:
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts. - Liqiang Jing, Ruosen Li, Yunmo Chen, Mengzhao Jia, Xinya Du:
FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models. - Aakriti Shah:
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms. - Litian Liu, Yao Qin:
Detecting Out-of-Distribution Through the Lens of Neural Collapse. - Zheng Lin, Zhe Chen, Zihan Fang, Xianhao Chen, Xiong Wang, Yue Gao:
FedSN: A General Federated Learning Framework over LEO Satellite Networks. - Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen:
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. - Priti Oli, Rabin Banjade, Jeevan Chapagain,