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ORCIDCoRR, December 2023
- Akshansh Mishra:
Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials. - Wolfgang Kreuzer, Katharina Pollack, Fabian Brinkmann, Piotr Majdak:
NumCalc: An open source BEM code for solving acoustic scattering problems. - Evans Owusu, Mohamed Rahouti, D. Frank Hsu, Kaiqi Xiong, Yufeng Xin:
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis. - Luisa D'Amore, Rosalba Cacciapuoti:
Space-Time Decomposition of Kalman Filter. - Rahul Vishwakarma, Amin Rezaei:
Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection. - Xinyang Lu, Martijn C. van Beurden, Qingbiao Wu:
Efficient calculation of the integral equation for simulating 2D TE scattering in a homogeneous medium using the Ewald method and a Gabor frame discretization. - Janez Komelj:
The Bivariate Normal Integral via Owen's T Function as a Modified Euler's Arctangent Series. - Anh Tran, Pieterjan Robbe, Theron Rodgers, Hojun Lim:
Multi-fidelity uncertainty quantification for homogenization problems in structure-property relationships from crystal plasticity finite elements. - Luis Felipe M. Ramos:
Biometric Technologies and the Law: Developing a Taxonomy for Guiding Policymakers. - Hanaa Zitane, Delfim F. M. Torres:
A class of fractional differential equations via power non-local and non-singular kernels: existence, uniqueness and numerical approximations. - Robinson Onyemechi Oturugbum:
Preserving The Safety And Confidentiality Of Data Mining Information In Health Care: A literature review. - Kai Diethelm, Safoura Hashemishahraki, Ha Duc Thai, Hoang The Tuan:
A constructive approach for investigating the stability of incommensurate fractional differential systems. - Mohammad Hamad, Sebastian Steinhorst:
Security Challenges in Autonomous Systems Design. - Gaëlle Candel:
The theoretical limits of biometry. - (Withdrawn) A new numerical technique based on Chelyshkov polynomials for solving two-dimensional stochastic Itô-Volterra Fredholm integral equation.
- Ashley Allen
, Alexios Mylonas, Stilianos Vidalis:
Technical Report relating to CVE-2022-46480, CVE-2023-26941, CVE-2023-26942, and CVE-2023-26943. - Paula Martínez-Lera, Marco De Corato:
A finite element method for stochastic diffusion equations using fluctuating hydrodynamics. - Bill Kay, Sinan G. Aksoy, Molly Baird, Daniel M. Best, Helen Jenne, Cliff A. Joslyn, Christopher Potvin, Gregory Henselman-Petrusek, Garret Seppala, Stephen J. Young, Emilie Purvine:
Hypergraph Topological Features for Autoencoder-Based Intrusion Detection for Cybersecurity Data. - Kamel Alrashedy, Abdullah Aljasser:
Can LLMs Patch Security Issues? - Mu Yuan, Lan Zhang, Xiang-Yang Li:
Secure Transformer Inference. - João Paulo de Brito Gonçalves, Guilherme Emerick Sathler, Rodolfo da Silva Villaça:
A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups. - Yuanpu Cao, Bochuan Cao, Jinghui Chen:
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. - Declan S. Jagt, Matthew M. Peet:
Constructive Representation of Functions in N-Dimensional Sobolev Space. - Matthew T. Pisano, Peter Ly, Abraham Sanders, Bingsheng Yao, Dakuo Wang, Tomek Strzalkowski, Mei Si:
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework. - Hribhu Chowdhury, Debo Brata Paul Argha, Md Ashik Ahmed:
Artificial Intelligence in Sustainable Vertical Farming. - Laszlo B. Kish:
Crypto analysis of the key distribution scheme using noise-free resistances. - Maria Cuellar, Sheng Gao, Heike Hofmann:
Revolutionizing Forensic Toolmark Analysis: An Objective and Transparent Comparison Algorithm. - Ravi Kashyap:
DeFi Security: Turning The Weakest Link Into The Strongest Attraction. - Mounia Hamidouche, Eugeny Popko, Bassem Ouni:
Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning. - Yang Li, Chunhe Xia, Wei Liu, Weidong Zhou, Chen Chen, Tianbo Wang:
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication. - Shourya Bose, Yu Zhang, Kibaek Kim:
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation. - Forrest McKee, David Noever:
Acoustic Cybersecurity: Exploiting Voice-Activated Systems. - Prosenjit Chatterjee, Alex Yalchin, Joseph Shelton, Kaushik Roy, Xiaohong Yuan, Kossi D. Edoh:
Presentation Attack detection using Wavelet Transform and Deep Residual Neural Net. - Justin Spencer, Deborah Lawrence, Prosenjit Chatterjee, Kaushik Roy, Albert C. Esterline, Jung-Hee Kim:
Presentation Attack Detection using Convolutional Neural Networks and Local Binary Patterns. - Ben Cottier, Tamay Besiroglu, David Owen:
Who is leading in AI? An analysis of industry AI research. - Arisa Ema, Ryo Sato, Tomoharu Hase, Masafumi Nakano, Shinji Kamimura, Hiromu Kitamura:
Advancing AI Audits for Enhanced AI Governance. - Olamide Oladeji, Seyed Shahabeddin Mousavi, Marc Roston:
AI-driven E-Liability Knowledge Graphs: A Comprehensive Framework for Supply Chain Carbon Accounting and Emissions Liability Management. - Yossiri Adulyasak, Maxime C. Cohen, Warut Khern-am-nuai, Michael Krause:
Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic. - Rania Anwar Aboalela:
chatGPT for generating questions and assessments based on accreditations. - Yihao Li, Yanyi Lai, Tianchi Liao, Chuan Chen, Zibin Zheng:
Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform. - Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang:
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. - Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty:
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. - Kamalakar Karlapalem:
A Case for Competent AI Systems - A Concept Note. - Rebeca P. Díaz Redondo, Ana Fernández Vilas, Mateo Ramos Merino, Sonia Valladares, Soledad Torres-Guijarro, Manar Mohamed Hafez:
Anti-Sexism Alert System: Identification of Sexist Comments on Social Media Using AI Techniques. - Eadom Dessalene, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
LEAP: LLM-Generation of Egocentric Action Programs. - Xiang Li, Qianli Shen, Kenji Kawaguchi:
Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models. - Guillaume Dujardin, Pauline Lafitte:
Uniform estimates for a fully discrete scheme integrating the linear heat equation on a bounded interval with pure Neumann boundary conditions. - Arthur Sarazin:
Open data ecosystems: what models to co-create service innovations in smart cities? - Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, Li Cheng:
MoMask: Generative Masked Modeling of 3D Human Motions. - Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. - Amir Rafe, Patrick A. Singleton:
Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach. - Prashant Kumar, Kshitij Madhav Bhat, Vedang Bhupesh Shenvi Nadkarni, Prem Kalra:
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds. - Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman:
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters. - Aman Bhatta, Domingo Mery, Haiyu Wu, Kevin W. Bowyer:
CRAFT: Contextual Re-Activation of Filters for face recognition Training. - Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. - Alameen Najjar:
Towards A Foundation Model For Trajectory Intelligence. - Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao:
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation. - Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou:
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. - Wujian Peng, Sicheng Xie, Zuyao You, Shiyi Lan, Zuxuan Wu:
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding. - Pilhyeon Lee, Hyeran Byun:
BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos. - Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu:
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? - Yiwei Ma, Yijun Fan, Jiayi Ji, Haowei Wang, Xiaoshuai Sun, Guannan Jiang, Annan Shu, Rongrong Ji:
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation. - Lixiang Yan, Roberto Martínez Maldonado, Dragan Gasevic:
Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle. - Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Anomaly Detection via Learning-Based Sequential Controlled Sensing. - Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms:
Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features. - Tim Ziemer:
Sound Terminology Describing Production and Perception of Sonification. - Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro:
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. - Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf:
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. - Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen:
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. - Zifan Ning, Min Jin:
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting. - Tom Tongjia Chen, Hongshan Yu, Zhengeng Yang, Zechuan Li, Wei Sun, Chen Chen:
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition. - Chen Long, Wenxiao Zhang, Zhe Chen, Haiping Wang, Yuan Liu, Zhen Cao, Zhen Dong, Bisheng Yang:
SparseDC: Depth Completion from sparse and non-uniform inputs. - Mahendran Narayanan:
Identifying tourist destinations from movie scenes using Deep Learning. - Jianxiong Guo:
Online Influence Maximization: Concept and Algorithm. - Stephen Bothwell, Justin DeBenedetto, Theresa Crnkovich, Hildegund Müller, David Chiang:
Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines. - Bonifaz Stuhr:
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations. - (Withdrawn) FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation.
- Xiaolong Tu, Anik Mallik, Haoxin Wang, Jiang (Linda) Xie:
DeepEn2023: Energy Datasets for Edge Artificial Intelligence. - Feilin Han, Zhaoxu Meng:
A Metadata Generation System with Semantic Understanding for Video Retrieval in Film Production. - Saurabh Farkya, Aswin Raghavan, Avi Ziskind:
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training. - Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo Dai:
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering. - Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
CLIP-QDA: An Explainable Concept Bottleneck Model. - Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljacic:
Multimodal Learning for Crystalline Materials. - Agelos Kratimenos, Jiahui Lei, Kostas Daniilidis:
DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting. - Ziyun Wang, Friedhelm Hamann, Kenneth Chaney, Wen Jiang, Guillermo Gallego, Kostas Daniilidis:
Event-based Continuous Color Video Decompression from Single Frames. - Ziyun Wang, Jinyuan Guo, Kostas Daniilidis:
Un-EvMoSeg: Unsupervised Event-based Independent Motion Segmentation. - Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran:
A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. - Or Greenberg, Eran Kishon, Dani Lischinski:
S2ST: Image-to-Image Translation in the Seed Space of Latent Diffusion. - Steven DiSilvio, Anthony Ozerov, Leon Zhou:
Pedaling, Fast and Slow: The Race Towards an Optimized Power Strategy. - Meera Hahn, Amit Raj, James M. Rehg:
Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation model. - Wenjing Chen, Shuo Xing, Victoria G. Crawford:
A Threshold Greedy Algorithm for Noisy Submodular Maximization. - Benjamin Schneider, Nils Lukas, Florian Kerschbaum:
Universal Backdoor Attacks. - Erik Chi, Gaukas Wang, J. Alex Halderman, Eric Wustrow, Jack Wampler:
Just add WATER: WebAssembly-based Circumvention Transports. - Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan:
Towards Accurate Differential Diagnosis with Large Language Models. - Shaina Raza:
Navigating News Narratives: A Media Bias Analysis Dataset. - Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi, Reza Ahmadi, Neha Gianchandani, Samer Adeeb, Roberto Souza, W. Brent Edwards, Amin Komeili:
Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage. - Zhou Lu:
Non-uniform Online Learning: Towards Understanding Induction. - Cliff B. Jones, Alan Burns:
Extending Rely-Guarantee thinking to handle Real-Time Scheduling. - Benjamin Carrel, Bart Vandereycken:
Projected exponential methods for stiff dynamical low-rank approximation problems. - Bilel Tarchoun, Quazi Mishkatul Alam, Nael B. Abu-Ghazaleh, Ihsen Alouani:
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems. - Ali Leylavi Shoushtari:
Advances in soft grasping in agriculture. - Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal:
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. - Emanuele Cavalleri, Alberto Cabri, Mauricio Soto Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J. Callahan, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. - Anusha Guruprasad:
Galaxy Classification: A machine learning approach for classifying shapes using numerical data. - Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Page Daniel Dobbs, Khoa Luu:
REACT: Recognize Every Action Everywhere All At Once. - Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas:
HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction. - Renos Zabounidis, Ini Oguntola, Konghao Zhao, Joseph Campbell, Simon Stepputtis, Katia P. Sycara:
Benchmarking and Enhancing Disentanglement in Concept-Residual Models. - Aleksandar Minja, Vojin Senk:
SISO Decoding of Z4 Linear Kerdock and Preparata Codes. - Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. - Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. - Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie:
Optimal Attack and Defense for Reinforcement Learning. - Igor Gaidai, Rebekah Herrman:
Performance Analysis of Multi-Angle QAOA for p > 1. - Eleni Dimitriadou, Andreas Lanitis:
An integrated framework for developing and evaluating an automated lecture style assessment system. - Kunyi Li, Michael Niemeyer, Nassir Navab, Federico Tombari:
DNS SLAM: Dense Neural Semantic-Informed SLAM. - Haolin Xiong, Sairisheek Muttukuru, Rishi Upadhyay, Pradyumna Chari, Achuta Kadambi:
SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting. - Chengjie Lu, Shaukat Ali, Tao Yue:
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism. - Vincent Roulet, Atish Agarwala, Fabian Pedregosa:
On the Interplay Between Stepsize Tuning and Progressive Sharpening. - Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. - Isidora Chara Tourni, Derry Wijaya:
Relevance-guided Neural Machine Translation. - Jean-François Tremblay, David Meger, Francois Robert Hogan, Gregory Dudek:
Learning active tactile perception through belief-space control. - Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad:
Medication abortion via digital health in the United States: a systematic scoping review. - Yajun Zhao:
Cascaded Channel Decoupling Based Solution for RIS Regulation Matrix. - Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini:
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. - Imane Koulali, Mustafa Taner Eskil:
Unsupervised textile defect detection using convolutional neural networks. - Ergun Akleman, Alan Freed:
Multi-Axis and Multi-Vector Gradient Estimations: Using Multi-Sampled Complex Unit Vectors to Estimate Gradients of Real Functions. - Bojan Crnkovic, Jerko Skific, Tina Bosner:
WENO based adaptive image zooming algorithm. - Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin:
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks. - Maddalena Torricelli, Mauro Martino, Andrea Baronchelli, Luca Maria Aiello:
The role of interface design on prompt-mediated creativity in Generative AI. - Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Deep Equilibrium Based Neural Operators for Steady-State PDEs. - Xuan-Bac Nguyen, Xin Li, Samee U. Khan, Khoa Luu:
Brainformer: Modeling MRI Brain Functions to Machine Vision. - Nuri Korhan, Ceren Öner:
Negotiated Representations to Prevent Forgetting in Machine Learning Applications. - Jordan Barrett, Bogumil Kaminski, Pawel Pralat, François Théberge:
Self-similarity of Communities of the ABCD Model. - Martin Bichler, Alok Gupta, Laura Mathews, Matthias Oberlechner:
Low Revenue in Display Ad Auctions: Algorithmic Collusion vs. Non-Quasilinear Preferences. - Yaman Jandali, Nojan Sheybani, Farinaz Koushanfar:
SPAM: Secure & Private Aircraft Management. - Alex Lewandowski, Haruto Tanaka, Dale Schuurmans, Marlos C. Machado:
Curvature Explains Loss of Plasticity. - Zhuoran Zheng, Boxue Xiao:
Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview. - Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan:
PyNeRF: Pyramidal Neural Radiance Fields. - Ghayoor Shah, Mahdi Zaman, Md Saifuddin, Behrad Toghi, Yaser P. Fallah:
Scalable Cellular V2X Solutions: Large-Scale Deployment Challenges of Connected Vehicle Safety Networks. - Cheng Tang, Jiaming Zhong, Yue Hu:
Augmented Kinesthetic Teaching: Enhancing Task Execution Efficiency through Intuitive Human Instructions. - Cheng Tang, Yijing Feng, Yue Hu:
RoboSync: Efficient Real-Time Operating System for Social Robots with Customizable Behaviour. - Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff G. Schneider, Willie Neiswanger:
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. - Hugo Jair Escalante, Aleksandra Kruchinina:
Academic competitions. - Hayden Moore:
Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty. - Teo Susnjak, Elise Griffin:
Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care. - Julien Piet, Chawin Sitawarin, Vivian Fang, Norman Mu, David A. Wagner:
Mark My Words: Analyzing and Evaluating Language Model Watermarks. - Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber:
Automating Continual Learning. - Lei Sha, Thomas Lukasiewicz:
Text Attribute Control via Closed-Loop Disentanglement. - Xingqiu He, Chaoqun You, Tony Q. S. Quek:
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach. - Lide Xue, Wei Yang, Wei Li:
A Scale-out Decentralized Blockchain Ledger System for Web3.0. - Caio Mucchiani, Zhichao Liu, Ipsita Sahin, Elena Kokkoni, Konstantinos Karydis:
Robust Generalized Proportional Integral Control for Trajectory Tracking of Soft Actuators in a Pediatric Wearable Assistive Device. - Peetak P. Mitra, Vivek Ramavajjala:
Learning to forecast diagnostic parameters using pre-trained weather embedding. - Yang Liu, Shi Shu, Ying Yang:
The Existence the Solution of Nonlinear Discrete Schemes and Convergence of a Linearized Iterative Method for time-dependent PNP Equations. - Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das:
SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection. - Baohua Zhang, Yongyi Huang, Wenyao Cui, Huaping Zhang, Jianyun Shang:
PsyAttention: Psychological Attention Model for Personality Detection. - Biqian Cheng, Evangelos E. Papalexakis, Jia Chen:
Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results. - Manel Gherari, Fatemeh Aghaali Akbari, Sama Habibi, Soukaina Ouledsidi Ali, Zakaria Ait Hmitti, Youcef Kardjadja, Muhammad Saqib, Adyson Magalhães Maia, Marsa Rayani, Ece Gelal Soyak, Halima Elbiaze, Özgür Erçetin, Yacine Ghamri-Doudane, Roch H. Glitho, Wessam Ajib:
A Review of the In-Network Computing and Its Role in the Edge-Cloud Continuum. - Niranjan Rajesh, Debayan Gupta:
Developmental Pretraining (DPT) for Image Classification Networks. - Longfeng Nie, Yuntian Chen, Mengge Du, Changqi Sun, Dongxiao Zhang:
A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing. - Zidu Wang, Xiangyu Zhu, Tianshuo Zhang, Baiqin Wang, Zhen Lei:
3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation. - Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu:
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. - Seyedalireza Khoshsirat, Chandra Kambhamettu:
Improving Normalization with the James-Stein Estimator. - Shenglei Shi, Youlun Xiong, JianKui Chen, Caihua Xiong:
A bilevel optimal motion planning (BOMP) model with application to autonomous parking. - Zhuo-Rui Pan, Wei Ren, Xi-Ming Sun:
Multiple Control Functionals for Interconnected Time-Delay Systems. - Dengbo Li, Jieren Cheng, Boyi Liu:
Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing. - Dusan Guller:
On Multi-step Fuzzy Inference in Goedel Logic. - Xiuting Ge, Chunrong Fang, Xuanye Li, Weisong Sun, Daoyuan Wu, Juan Zhai, Shangwei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen:
Machine Learning for Actionable Warning Identification: A Comprehensive Survey. - Zhangcheng Qiang, Weiqing Wang, Kerry Taylor:
Agent-OM: Leveraging Large Language Models for Ontology Matching. - Leticia Mattos Da Silva, Oded Stein, Justin Solomon:
A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains. - Tsung-Ming Huang, Yueh-Cheng Kuo, Ren-Cang Li, Wen-Wei Lin:
On Novel Fixed-Point-Type Iterations with Structure-Preserving Doubling Algorithms for Stochastic Continuous-time Algebraic Riccati equations. - Gongye Liu, Menghan Xia, Yong Zhang, Haoxin Chen, Jinbo Xing, Xintao Wang, Yujiu Yang, Ying Shan:
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter. - Peng Wang:
Matching Weak Informative Ontologies. - Yuyi Mao, Xianghao Yu, Kaibin Huang, Ying-Jun Angela Zhang, Jun Zhang:
Green Edge AI: A Contemporary Survey. - Zhenzhen Gong, Omar Hashash, Yingze Wang, Qimei Cui, Wei Ni, Walid Saad, Kei Sakaguchi:
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks. - Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
Learning Anatomically Consistent Embedding for Chest Radiography. - Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan:
Hypergraph Node Representation Learning with One-Stage Message Passing. - Marten Risius, Kevin Marc Blasiak, Susilo Wibisono, Rita Jabri-Markwell, Winnifred R. Louis:
Dynamic Matrix of Extremisms and Terrorism (DMET): A Continuum Approach Towards Identifying Different Degrees of Extremisms. - Dohyeong Kim, Songhwai Oh:
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk. - Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan, Tian Yang, Zheng Zhu, Long Chen:
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline. - Dohyeong Kim, Songhwai Oh:
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning. - Lyutianyang Zhang, Hao Yin, Sumit Roy, Liu Cao, Xiangyu Gao, Vanlin Sathya:
IEEE 802.11be Network Throughput Optimization with Multi-Link Operation and AP Coordination. - Xiao Wang, Yaoyu Li, Tian Gan, Zheng Zhang, Jingjing Lv, Liqiang Nie:
RTQ: Rethinking Video-language Understanding Based on Image-text Model. - Anagha Deshpande, Vedant Deshpande:
Student Activity Recognition in Classroom Environments using Transfer Learning. - Julian Michael:
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP. - Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng:
Manipulating the Label Space for In-Context Classification. - Pei-Chi Lo, Yi-Hang Tsai, Ee-Peng Lim, San-Yih Hwang:
On Exploring the Reasoning Capability of Large Language Models with Knowledge Graphs. - Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang:
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. - Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan:
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning. - Ziyu Wang, Yue Xu, Cewu Lu, Yonglu Li:
Dancing with Images: Video Distillation via Static-Dynamic Disentanglement. - Jiayi Li, Rohan Taori, Tatsunori B. Hashimoto:
Benchmarking Multi-Domain Active Learning on Image Classification. - Nan Yang, Shusen Zhang, Yannan Zhang, Xiaoling Bai, Hualong Deng, Tianhua Zhou, Jin Ma:
Event-driven Real-time Retrieval in Web Search. - Alexey V. Calabourdin, Konstantin A. Aksenov:
Streaming Bayesian Modeling for predicting Fat-Tailed Customer Lifetime Value. - Tian Dong, Guoxing Chen, Shaofeng Li, Minhui Xue, Rayne Holland, Yan Meng, Zhen Liu, Haojin Zhu:
Unleashing Cheapfakes through Trojan Plugins of Large Language Models. - Yunjie Wu, Yapeng Meng, Zhipeng Hu, Lincheng Li, Haoqian Wu, Kun Zhou, Weiwei Xu, Xin Yu:
Text-Guided 3D Face Synthesis - From Generation to Editing. - Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma:
SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations. - Noga Alon, Dmitrii Avdiukhin, Dor Elboim, Orr Fischer, Grigory Yaroslavtsev:
Optimal Sample Complexity of Contrastive Learning. - Georgios Makridis, Vasileios Koukos, Georgios Fatouros, Dimosthenis Kyriazis:
Enhancing Explainability in Mobility Data Science through a combination of methods. - Junchen Zhao, Yurun Song, Simeng Liu, Ian G. Harris, Sangeetha Abdu Jyothi:
LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices. - Kshitij Deshpande, Varad Mashalkar, Kaustubh Mhaisekar, Amaan Naikwadi, Archana Ghotkar:
Study and Survey on Gesture Recognition Systems. - Lev Yohananov, Moshe Schwartz:
Optimal Reverse-Complement-Duplication Error-Correcting Codes. - Sida Li, Ioana Marinescu, Sebastian Musslick:
GFN-SR: Symbolic Regression with Generative Flow Networks. - Quoc Hung T. Le, Hieu H. Pham:
Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network. - Yaoyao Zhong, Mengshi Qi, Rui Wang, Yuhan Qiu, Yang Zhang, Huadong Ma:
VIoTGPT: Learning to Schedule Vision Tools towards Intelligent Video Internet of Things. - Hyunju Kim, Heesuk Son, Dongman Lee:
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space. - Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, Xipeng Qiu:
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way. - Nuno Verdelho Trindade, Alfredo Ferreira, João Madeiras Pereira:
Beyond the Screen: Reshaping the Workplace with Virtual and Augmented Reality. - Yeshuo Shu, Gangcheng Zhang, Keyi Liu, Jintong Tang, Liyan Xu:
A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering. - Deepak Sridhar, Yunsheng Li, Nuno Vasconcelos:
SCHEME: Scalable Channer Mixer for Vision Transformers. - Weisong Sun, Chunrong Fang, Yun Miao, Yudu You, Mengzhe Yuan, Yuchen Chen, Quanjun Zhang, An Guo, Xiang Chen, Yang Liu, Zhenyu Chen:
Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We? - Taichi Nishimura, Shota Nakada, Masayoshi Kondo:
Large-scale Vision-Language Models Learn Super Images for Efficient and High-Performance Partially Relevant Video Retrieval. - Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall:
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. - Hongyang Pan, Ruibing Zhang, Yinshui Xia, Lunyao Wang, Fan Yang, Xuan Zeng, Zhufei Chu:
A Semi-Tensor Product based Circuit Simulation for SAT-sweeping. - Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno:
A Low-Power Neuromorphic Approach for Efficient Eye-Tracking. - Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal:
PEFTDebias : Capturing debiasing information using PEFTs. - Pooja Bhatnagar, Sai Mrunaal, Sachin Kamnure:
Enhancing Image Captioning with Neural Models. - Phoebe Koundouri, Georgios I. Papayiannis, Electra V. Petracou, Athanasios N. Yannacopoulos:
Consensus group decision making under model uncertainty with a view towards environmental policy making. - Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao:
Dolphins: Multimodal Language Model for Driving. - Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang:
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting. - Yajie Liu, Pu Ge, Haoxiang Ma, Shichao Fan, Qingjie Liu, Di Huang, Yunhong Wang:
Towards Generalizable Referring Image Segmentation via Target Prompt and Visual Coherence. - Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré:
An Encoding Framework for Binarized Images using HyperDimensional Computing. - Mayalen Etcheverry, Bert Wang-Chak Chan, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Meta-Diversity Search in Complex Systems, A Recipe for Artificial Open-Endedness ? - Thomas Brihaye, Sophie Pinchinat, Alexandre Terefenko:
Semantics of Attack-Defense Trees for Dynamic Countermeasures and a New Hierarchy of Star-free Languages. - Kerui Gu, Zhihao Li, Shiyong Liu, Jianzhuang Liu, Songcen Xu, Youliang Yan, Michael Bi Mi, Kenji Kawaguchi, Angela Yao:
Learning Unorthogonalized Matrices for Rotation Estimation. - Kathryn Lund, Davide Palitta:
Low-rank-modified Galerkin methods for the Lyapunov equation. - A. M. Ershov, Daniil V. Tropin, Elena Limonova, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Unfolder: Fast localization and image rectification of a document with a crease from folding in half. - Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
A Bayesian approach for prompt optimization in pre-trained language models. - Charlotte Jennings, Darren Treanor, David S. Brettle:
Pathologists light level preferences using the microscope - a study to guide digital pathology display use. - Bing Yang, Xiaofei Li:
Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer. - Matthieu Blanke, Marc Lelarge:
Interpretable Meta-Learning of Physical Systems. - Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara, Akira Tokutsu, Keisuke Takeshita, Mihoko Sumida:
Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction. - Erik Agrell, Daniel Pook-Kolb, Bruce Allen:
Glued lattices are better quantizers than K12. - Ayushi Mishra, Priyanka Bagade:
MalDicom: A Memory Forensic Framework for Detecting Malicious Payload in DICOM Files. - Ambroise Heurtebise, Pierre Ablin, Alexandre Gramfort:
MultiView Independent Component Analysis with Delays. - Junkai Mao, Yuexing Han, Gouhei Tanaka, Bing Wang:
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting. - William Bankes, George Hughes, Ilija Bogunovic, Zi Wang:
REDUCR: Robust Data Downsampling Using Class Priority Reweighting. - Wahidul Hasan Abir, Md. Fahim Uddin, Faria Rahman Khanam, Mohammad Monirujjaman Khan:
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method. - Philipp Bringmann, Maximilian Brunner, Dirk Praetorius, Julian Streitberger:
Optimal complexity of goal-oriented adaptive FEM for nonsymmetric linear elliptic PDEs. - Milica I. Petkovic, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Dejan Vukobratovic, Erdal Panayirci, Cedomir Stefanovic, George K. Karagiannidis:
Slotted Aloha for Optical Wireless Communications in Internet of Underwater Things. - Oualid Zaazaa, Hanan El Bakkali:
Unveiling the Landscape of Smart Contract Vulnerabilities: A Detailed Examination and Codification of Vulnerabilities in Prominent Blockchains. - Mohammad Altillawi, Zador Pataki, Shile Li, Ziyuan Liu:
Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras. - Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou:
On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals. - Anil R. Doshi, Oliver P. Hauser:
Generative artificial intelligence enhances individual creativity but reduces the collective diversity of novel content. - S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Soumya Banerjee, Ramakrishna Upadrasta:
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity. - Ruitong Liu, Yanbin Wang, Zhenhao Guo, Haitao Xu, Zhan Qin, Wenrui Ma, Fan Zhang:
PyraTrans: Attention-Enriched Pyramid Transformer for Malicious URL Detection. - Sulthana Shams, Douglas J. Leith:
Attack Detection Using Item Vector Shift in Matrix Factorisation Recommenders. - Yueguan Wang, Naoki Yoshinaga:
Summarization-based Data Augmentation for Document Classification. - Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song:
Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting. - Alexander Brundiers, Timmy Schüller, Nils Aschenbruck:
Preprocess your Paths - Speeding up Linear Programming-based Optimization for Segment Routing Traffic Engineering. - Maria Sophia Heering, Haiyue Yuan, Shujun Li:
The Impact of Privacy and Security Attitudes and Concerns of Travellers on Their Willingness to Use Mobility-as-a-Service Systems. - Oren Ben-Zwi, Ilan Newman:
No Ascending Auction can find Equilibrium for SubModular valuations. - Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe:
SurreyAI 2023 Submission for the Quality Estimation Shared Task. - Nick Paape, Joost van Eekelen, Michel A. Reniers:
Automated design space exploration for poultry processing systems using discrete-event simulation. - Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen:
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. - Jose Luis Apellaniz, Mikel García, Nerea Aranjuelo, Javier Barandiarán, Marcos Nieto:
LiDAR-based curb detection for ground truth annotation in automated driving validation. - Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler:
Trained MT Metrics Learn to Cope with Machine-translated References. - Theresa Wagner, John W. Pearson, Martin Stoll:
A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products. - Tianlang He, Zhiqiu Xia, Jierun Chen, Haoliang Li, S.-H. Gary Chan:
Target-agnostic Source-free Domain Adaptation for Regression Tasks. - Q Misell:
Hiding in text/plain sight: Security defences of Tor Onion Services. - Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung:
Domain Adaptive Imitation Learning with Visual Observation. - Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li:
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs. - Wenjuan Zhong, Yuyang Zhang, Peiwen Fu, Wenxuan Xiong, Mingming Zhang:
A Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography. - Aniket Deroy, Subhankar Maity:
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models? - Tingting Ni, Maryam Kamgarpour:
Interior Point Constrained Reinforcement Learning with Global Convergence Guarantees. - Leon Herrmann, Alireza Daneshyar, Stefan Kollmannsberger:
The Discontinuous Strain Method: accurately representing fatigue and failure. - Iakes Goenaga, Aitziber Atutxa, Koldo Gojenola, Maite Oronoz, Rodrigo Agerri:
Explanatory Argument Extraction of Correct Answers in Resident Medical Exams. - Aleksi Knuutila:
Generative models for visualising abstract social processes: Guiding streetview image synthesis of StyleGAN2 with indices of deprivation. - Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut:
Instruction-tuning Aligns LLMs to the Human Brain. - Katherine Izhikevich, Geoff Voelker, Stefan Savage, Liz Izhikevich:
Using Honeybuckets to Characterize Cloud Storage Scanning in the Wild. - Stephen Wu, Yu Otake, Yosuke Higo, Ikumasa Yoshida:
Pathway to a fully data-driven geotechnics: lessons from materials informatics. - Jakob Smedegaard Andersen, Walid Maalej:
Design Patterns for Machine Learning Based Systems with Human-in-the-Loop. - Bardienus Pieter Duisterhof, Zhao Mandi, Yunchao Yao, Jia-Wei Liu, Mike Zheng Shou, Shuran Song, Jeffrey Ichnowski:
MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes. - Josef Valvoda, Alec Thompson, Ryan Cotterell, Simone Teufel:
The Ethics of Automating Legal Actors. - Samantha Visbeek, Erman Acar, Floris den Hengst:
Explainable Fraud Detection with Deep Symbolic Classification. - Conor Mullaney, Adnan Aijaz, Rasheed Hussain:
Efficient and Secure Energy Trading with Electric Vehicles and Distributed Ledger Technology. - Zhaoning Wang, Ming Li, Chen Chen:
LucidDreaming: Controllable Object-Centric 3D Generation. - En Yu, Liang Zhao, Yana Wei, Jinrong Yang, Dongming Wu, Lingyu Kong, Haoran Wei, Tiancai Wang, Zheng Ge, Xiangyu Zhang, Wenbing Tao:
Merlin: Empowering Multimodal LLMs with Foresight Minds. - Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji:
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment. - Emma Cramer, Jonas Reiher, Sebastian Trimpe:
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version). - Sahar Nasirihaghighi, Negin Ghamsarian, Heinrich Husslein, Klaus Schoeffmann:
Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers. - Afifa Khaled, Chao Li, Jia Ning, Kun He:
BCN: Batch Channel Normalization for Image Classification. - Md. Mahmudur Rahman, Sajid Islam, Showren Chowdhury, Sadia Jahan Zeba, Debajyoti Karmaker:
UAVs and Birds: Enhancing Short-Range Navigation through Budgerigar Flight Studies. - João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman:
Learning from One Continuous Video Stream. - Maorong Wang, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki:
Improving Plasticity in Online Continual Learning via Collaborative Learning. - Antonios Antoniadis, Hajo Broersma, Yang Meng:
Online Graph Coloring with Predictions. - David Van Nguyen, Edward F. Melcer, Deanne Adams:
Experiment on Gender and Racial/Ethnic Bias Against Video Game Streamers: Comparing Perceived Gameplay Skill and Viewer Engagement. - Maren Hackenberg, Michelle Pfaffenlehner, Max Behrens, Astrid Pechmann, Janbernd Kirschner, Harald Binder:
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry. - Jose Pablo Folch, James Odgers, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener:
Practical Path-based Bayesian Optimization. - Joschka Herteux, Christoph Räth, Amine Baha, Giulia Martini, Duccio Piovani:
Forecasting Trends in Food Security: a Reservoir Computing Approach. - Michail Tarasiou, Jiankang Deng, Stefanos Zafeiriou:
Rethinking the Domain Gap in Near-infrared Face Recognition. - Jon Arne Glomsrud, Tita Alissa Bach:
The Ecosystem of Trust (EoT): Enabling effective deployment of autonomous systems through collaborative and trusted ecosystems. - Xiaofei Li, Shengqi Lin, Haojie Wang:
Numerical computation of the stress concentration between closely located stiff inclusions of general shapes. - Yuxin Li, Qiang Han, Mengying Yu, Yuxin Jiang, Chai Kiat Yeo, Yiheng Li, Zihang Huang, Nini Liu, Hsuanhan Chen, Xiaojun Wu:
Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach. - Joris Nix, Jens Dittrich:
What if an SQL Statement Returned a Database? - Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet:
EvE: Exploiting Generative Priors for Radiance Field Enrichment. - Elena Celledoni, Ergys Çokaj, Andrea Leone, Sigrid Leyendecker, Davide Murari, Brynjulf Owren, Rodrigo Takuro Sato Martín de Almagro, Martina Stavole:
Neural networks for the approximation of Euler's elastica. - Paul Bricman:
Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation. - Amanda Raybuck, Wei Zhang, Kayvan Mansoorshahi, Aditya K. Kamath, Mattan Erez, Simon Peter:
MaxMem: Colocation and Performance for Big Data Applications on Tiered Main Memory Servers. - Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis:
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. - Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. - Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh:
Machine Learning for Health symposium 2023 - Findings track. - Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen:
Simple Transferability Estimation for Regression Tasks. - Mehran Attar, Walter Lucia:
A Data-Driven Safety Preserving Control Architecture for Constrained Cyber-Physical Systems. - Ehsan Beikihassan, Amy K. Hoover, Ioannis Koutis, Ali Parviz, Niloofar Aghaieabiane:
Resource-constrained knowledge diffusion processes inspired by human peer learning. - Fabio Fehr, James Henderson:
Nonparametric Variational Regularisation of Pretrained Transformers. - Kangcheng Liu, Yong-Jin Liu, Kai Tang, Ming Liu, Baoquan Chen:
Generalized Label-Efficient 3D Scene Parsing via Hierarchical Feature Aligned Pre-Training and Region-Aware Fine-tuning. - Daniel Andrés Arcones, Martin Weiser, Phaedon-Stelios Koutsourelakis, Jörg F. Unger:
Model bias identification for Bayesian calibration of stochastic digital twins of bridges. - Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit:
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. - Ying Nie, Wei He, Kai Han, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang:
LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models. - Andrii Dmytryshyn, Froilán M. Dopico, Paul Van Dooren:
Minimal rank factorizations of polynomial matrices. - Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang:
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. - Pablo Gamallo:
Contextualized word senses: from attention to compositionality. - Harun Çelik, Aysenur Sayil:
Applicability of Blockchain Technology in Avionics Systems. - Benedikt W. Hosp, Yannick Sauer, Björn Severitt, Rajat Agarwala, Siegfried Wahl:
How to Tune Autofocals: A Comparative Study of Advanced Tuning Methods. - Monika Freunek, Alexandra Rombos:
Classification of cyber attacks on IoT and ubiquitous computing devices. - Hadi Wazni, Mehrnoosh Sadrzadeh:
Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach. - Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi:
Open-vocabulary object 6D pose estimation. - Benedikt W. Hosp, Martin Dechant, Yannick Sauer, Rajat Agarwala, Siegfried Wahl:
VisionaryVR: An Optical Simulation Tool for Evaluating and Optimizing Vision Correction Solutions in Virtual Reality. - Martin Georg Ljungqvist, Otto Nordander, Markus Skans, Arvid Mildner, Tony Liu, Pierre Nugues:
Object Detector Differences when using Synthetic and Real Training Data. - Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images. - Chinmay Savadikar, Xi Song, Tianfu Wu:
GIFT: Generative Interpretable Fine-Tuning Transformers. - Jämes Ménétrey, Aeneas Grüter, Peterson Yuhala, Julius Oeftiger, Pascal Felber, Marcelo Pasin, Valerio Schiavoni:
A Holistic Approach for Trustworthy Distributed Systems with WebAssembly and TEEs. - Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. - Giovanni Barbarino:
On the Periodicity of Singular Vectors and the Holomorphic Block-Circulant SVD on the Unit Circumference. - Nicolò Ruggeri, Alessandro Lonardi, Caterina De Bacco:
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information. - Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici:
SpaCE: The Spatial Confounding Environment. - Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss:
Nonlinear-manifold reduced order models with domain decomposition. - Jason D. Hiser, Anh Nguyen-Tuong, Jack W. Davidson:
Zipr: A High-Impact, Robust, Open-source, Multi-platform, Static Binary Rewriter. - Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola:
Removing Biases from Molecular Representations via Information Maximization. - Bowen Wu, Dimitrios Koutsoukos, Gustavo Alonso:
Efficiently Processing Large Relational Joins on GPUs. - Patrick Buchfink, Silke Glas, Bernard Haasdonk:
Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds. - Xiaoyuan Cheng, Boli Chen, Liz Varga, Yukun Hu:
Safe Reinforcement Learning in Tensor Reproducing Kernel Hilbert Space. - Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke:
Gaussian Grouping: Segment and Edit Anything in 3D Scenes. - (Withdrawn) How do correlations shape the landscape of information?
- Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing:
SeaLLMs - Large Language Models for Southeast Asia. - Min Wei, Jingkai Zhou, Junyao Sun, Xuesong Zhang:
Adversarial Score Distillation: When score distillation meets GAN. - Zhijin Qin, Jingkai Ying, Dingxi Yang, Hengjiang Wang, Xiaoming Tao:
Computing Networks Enabled Semantic Communications. - Jianyu Niu, Fangyu Gai, Runchao Han, Ren Zhang, Yinqian Zhang, Chen Feng:
Crystal: Enhancing Blockchain Mining Transparency with Quorum Certificate. - Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu:
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. - Kévin Carrier, Thomas Debris-Alazard, Charles Meyer-Hilfiger, Jean-Pierre Tillich:
Reduction from sparse LPN to LPN, Dual Attack 3.0. - Tam Nguyen, Tan M. Nguyen, Richard G. Baraniuk:
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals. - Albert Gu, Tri Dao:
Mamba: Linear-Time Sequence Modeling with Selective State Spaces. - Alban Quadrat, Fabrice Rouillier, Grace Younes:
L∞-norm computation for linear time-invariant systems depending on parameters. - Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. - Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi:
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. - Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee:
Explaining Knock-on Effects of Bias Mitigation. - Fatemeh Taheri Dezaki, Himanshu Arora, Rahul Suresh, Amin Banitalebi-Dehkordi:
Automated Material Properties Extraction For Enhanced Beauty Product Discovery and Makeup Virtual Try-on. - Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai:
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. - Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani:
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. - Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu:
VideoBooth: Diffusion-based Video Generation with Image Prompts. - Hengyi Wang, Jingwen Wang, Lourdes Agapito:
MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video. - Rong-Peng Liu, Xiaozhe Wang, Zuyi Li, Rawad Zgheib:
Modeling False Data Injection Attacks on Integrated Electricity-Gas Systems. - Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee:
Making Large Multimodal Models Understand Arbitrary Visual Prompts. - Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. - Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
Dense Optical Tracking: Connecting the Dots. - Olivier Las Vergnas:
Do androids dream of fictional references? A bibliographic dialogue with ChatGPT3.5. - Deyuan Zhong, Mingwei Zhang, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Yong Lai:
Variants of Tagged Sentential Decision Diagrams. - L. Julian Lechuga Lopez, Tim G. J. Rudner, Farah E. Shamout:
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification. - Mert Ege, Mustafa Ceyhan:
Talent-Interview: Web-Client Cheating Detection for Online Exams. - Yufei Zhao, Ziyang Wang, Yilong Lu, Yong Liang Guan:
Multi-mode OAM Convergent Transmission with Co-divergent Angle Tailored by Airy Wavefront. - Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson:
A Turing Test: Are AI Chatbots Behaviorally Similar to Humans? - Gyanendar Manohar, Ruairi O'Reilly:
InceptionCaps: A Performant Glaucoma Classification Model for Data-scarce Environment. - Elke Smith, Nils Reiter, Jan Peters:
Automatic detection of problem-gambling signs from online texts using large language models. - Michelle Alexopoulos, Kelly A. Lyons, Kaushar Mahetaji, Marcus Emmanuel Barnes, Rogan Gutwillinger:
Gender inference: can chatGPT outperform common commercial tools? - Chengchun Liu, Yuntian Chen, Fanyang Mo:
Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence. - Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu:
Empowering Autonomous Driving with Large Language Models: A Safety Perspective. - Ziyang Song, Qincheng Lu, Hao Xu, Yue Li:
TimelyGPT: Recurrent Convolutional Transformer for Long Time-series Representation. - Jennifer Listgarten:
The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist. - Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao:
Large Language Models for Travel Behavior Prediction. - Ziyang Zheng, Ruiyuan Gao, Qiang Xu:
Non-Cross Diffusion for Semantic Consistency. - Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. - Mehmet Can Yavuz, Berrin A. Yanikoglu:
Variational Self-Supervised Contrastive Learning Using Beta Divergence. - Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal:
Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. - Kyungho Bae, Geo Ahn, Youngrae Kim, Jinwoo Choi:
DEVIAS: Learning Disentangled Video Representations of Action and Scene for Holistic Video Understanding. - Siqi Wang, Chau Pham, Bryan A. Plummer:
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection. - Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko:
Lasagna: Layered Score Distillation for Disentangled Object Relighting. - Anton Ratnarajah, Sreyan Ghosh, Sonal Kumar, Purva Chiniya, Dinesh Manocha:
AV-RIR: Audio-Visual Room Impulse Response Estimation. - Lei Guan, Dongsheng Li, Jiye Liang, Wenjian Wang, Xicheng Lu:
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction. - Cheng Chen, Jingkuan Song, Lianli Gao, Heng Tao Shen:
Towards Redundancy-Free Sub-networks in Continual Learning. - Lin Lu, Chenxi Dai, Wangcheng Tao, Binhang Yuan, Yanan Sun, Pan Zhou:
Exploring the Robustness of Decentralized Training for Large Language Models. - Huadong Li, Minhao Jing, Jiajun Liang, Haoqiang Fan, Renhe Ji:
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion. - Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye:
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models. - Hanlin Chen, Chen Li, Gim Hee Lee:
NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance. - Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun, Tat-Seng Chua:
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback. - Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Jie Lei, Leyuan Fang:
Physics Inspired Criterion for Pruning-Quantization Joint Learning. - Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. - Xi Yang, Chenhang He, Jianqi Ma, Lei Zhang:
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution. - Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang:
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction. - Shuchao Duan, Amirhossein Dadashzadeh, Alan L. Whone, Majid Mirmehdi:
QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps. - Bum Chul Kwon, Samuel F. Friedman, Kai Xu, Steven A. Lubitz, Anthony Philippakis, Puneet Batra, Patrick T. Ellinor, Kenney Ng:
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration. - Xinyin Ma, Gongfan Fang, Xinchao Wang:
DeepCache: Accelerating Diffusion Models for Free. - Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian:
Segment Any 3D Gaussians. - Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra:
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. - Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu:
Segment and Caption Anything. - Balamurugan Thambiraja, Sadegh Aliakbarian, Darren Cosker, Justus Thies:
3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing. - Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. - Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne:
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. - Abdolah RoshanaeeDeh, Hajar Atrianfar, Masoud Shafiee:
Improved Stability and Controller Design Criteria for Two-dimensional Differential-Algebraic-Equation Systems via LMI Approach. - Myeongsoo Kim, Tyler Stennett, Dhruv Shah, Saurabh Sinha, Alessandro Orso:
Leveraging Large Language Models to Improve REST API Testing. - Brian H. Lee, Alejandro Strachan:
Lennard Jones Token: a blockchain solution to scientific data curation. - Rambod Mojgani, Daniel Wälchli, Yifei Guan, Petros Koumoutsakos, Pedram Hassanzadeh:
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence. - Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models. - Benjamin Brimacombe, Jiawei Zhou:
Quick Back-Translation for Unsupervised Machine Translation. - George J. Stamatakis, Osvaldo Simeone, Nikolaos Pappas:
Optimizing Information Freshness over a Channel that Wears Out. - Chidera Biringa, Gökhan Kul:
PACE: A Program Analysis Framework for Continuous Performance Prediction. - Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi:
Label Delay in Continual Learning. - Michael Dorner, Oliver Treidler, Tom-Eric Kunz, Ehsan Zabardast, Daniel Méndez, Darja Smite, Maximilian Capraro, Krzysztof Wnuk:
Describing Globally Distributed Software Architectures for Tax Compliance. - Xiaoshan Wang, Tan F. Wong:
Privacy Preserving Event Detection. - Felix Weitkämper, Ameen Almiftah, Kailin Sun:
SimPLoID: Harnessing probabilistic logic programming for infectious disease epidemiology. - Yedi Zhang, Peter E. Latham, Andrew M. Saxe:
A Theory of Unimodal Bias in Multimodal Learning. - Rohan Choudhury, Koichiro Niinuma, Kris M. Kitani, László A. Jeni:
Zero-Shot Video Question Answering with Procedural Programs. - Neel Pratik Bhatt, Ruihe Zhang, Minghao Ning, Ahmad Reza Alghooneh, Joseph Sun, Pouya Panahandeh, Ehsan Mohammadbagher, Ted Ecclestone, Ben MacCallum, Ehsan Hashemi, Amir Khajepour:
WATonoBus: An All Weather Autonomous Shuttle. - William Lillis, Max Cohen Hoffing, Wayne P. Burleson:
Survey of Security Issues in Memristor-based Machine Learning Accelerators for RF Analysis. - Rishi Upadhyay, Howard Zhang, Yunhao Ba, Ethan Yang, Blake Gella, Sicheng Jiang, Alex Wong, Achuta Kadambi:
Enhancing Diffusion Models with 3D Perspective Geometry Constraints. - Andrea Caraffa, Davide Boscaini, Amir Hamza, Fabio Poiesi:
Object 6D pose estimation meets zero-shot learning. - Soheil Habibian, Antonio Alvarez Valdivia, Laura H. Blumenschein, Dylan P. Losey:
A Review of Communicating Robot Learning during Human-Robot Interaction. - Christophe Tribes, Sacha Benarroch-Lelong, Peng Lu, Ivan Kobyzev:
Hyperparameter Optimization for Large Language Model Instruction-Tuning. - Kaifeng Chen, Daniel Salz, Huiwen Chang, Kihyuk Sohn, Dilip Krishnan, Mojtaba Seyedhosseini:
Improve Supervised Representation Learning with Masked Image Modeling. - Zhijie Qiao, Mingyan Zhou, Tejas Agarwal, Zhijun Zhuang, Felix Jahncke, Po-Jen Wang, Jason Friedman, Hongyi Lai, Divyanshu Sahu, Tomás Nagy, Martin Endler, Jason Schlessman, Rahul Mangharam:
AV4EV: Open-Source Modular Autonomous Electric Vehicle Platform to Make Mobility Research Accessible. - Chao Chen, Wei Chen, Di Zhao, Jianqi Chen, Li Qiu:
A Cyclic Small Phase Theorem. - Muhammad Iqbal Rochman, Wei Ye, Zhi-Li Zhang, Monisha Ghosh:
A Comprehensive Real-World Evaluation of 5G Improvements over 4G in Low- and Mid-Bands. - Satya Sai Srinath Namburi, Makesh Sreedhar, Srinath Srinivasan, Frederic Sala:
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models. - Mariana A. Londe, Luciana S. Pessoa, Carlos Eduardo de Andrade, Mauricio G. C. Resende:
Biased Random-Key Genetic Algorithms: A Review. - Peter Gaskell, Jana Pavlasek, Tom Gao, Abhishek Narula, Stanley R. Lewis, Odest Chadwicke Jenkins:
MBot: A Modular Ecosystem for Scalable Robotics Education. - Kehui Yao, Jingyi Huang, Jun Zhu:
Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach. - Bill Kay, Audun Myers, Thad Boydston, Emily Ellwein, Cameron Mackenzie, Erik Lentz:
Permutation Entropy for Signal Analysis. - Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf:
Spectral Temporal Contrastive Learning. - Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut:
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts. - Julian Knodt, Xifeng Gao:
Consistent Mesh Diffusion. - Nithish Sharvirala, Amine Mezghani, Ekram Hossain:
Optimal Placement of Transmissive RIS in the Near Field for Capacity Maximization in THz Communications. - Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia:
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization. - An Ngo, MinhPhuong Cao, Rajesh Kumar:
Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification. - Kosei Akama, Yoshimichi Nakatsuka, Masaaki Sato, Keisuke Uehara:
Scrappy: SeCure Rate Assuring Protocol with PrivacY. - Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras:
Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders. - Ankit Bisain, Alan Edelman, John Urschel:
A New Upper Bound For the Growth Factor in Gaussian Elimination with Complete Pivoting. - Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier:
Second-Order Uncertainty Quantification: A Distance-Based Approach. - (Withdrawn) Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning.
- Jaewoo Jung, Jisang Han, Jiwon Kang, Seongchan Kim, Minseop Kwak, Seungryong Kim:
Self-Evolving Neural Radiance Fields. - Sunwoo Kim, Kwang-Ki K. Kim:
Learning-based Ecological Adaptive Cruise Control of Autonomous Electric Vehicles: A Comparison of ADP, DQN and DDPG Approaches. - Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang:
Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection. - Debashish Roy, Rajarshi Roy Chowdhury:
A Hypergraph-Based Approach to Recommend Online Resources in a Library. - Muhammad Kazim, Hyunjae Sim, Gihun Shin, Hwancheol Hwang, Kwang-Ki K. Kim:
Aggressive Trajectory Tracking for Nano Quadrotors Using Embedded Nonlinear Model Predictive Control. - Shentong Mo, Pedro Morgado:
Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling. - Yuanzhe Jia, Ali Anaissi, Basem Suleiman:
ResNLS: An Improved Model for Stock Price Forecasting. - Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof:
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations. - Kiran Thorat, Jiahui Zhao, Yaotian Liu, Hongwu Peng, Xi Xie, Bin Lei, Jeff Zhang, Caiwen Ding:
Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis. - Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao, Ching-Ray Chang:
Hybrid Quantum Neural Network in High-dimensional Data Classification. - Peizhi Wu, Ryan Marcus, Zachary G. Ives:
Adding Domain Knowledge to Query-Driven Learned Databases. - Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
Token Fusion: Bridging the Gap between Token Pruning and Token Merging. - Qiang Wen, Yazhou Xing, Qifeng Chen:
Taming Latent Diffusion Models to See in the Dark. - Aidan Quinn, Melanie Simmons, Benjamin Spivak, Christoph Bergmeir:
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression. - Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models. - Alex Mallen, Nora Belrose:
Eliciting Latent Knowledge from Quirky Language Models. - Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang:
From Beginner to Expert: Modeling Medical Knowledge into General LLMs. - Heng Chang, Hai Yang, Shuobo Xu, Xiyu Pang, Hongwu Liu:
Covert Communications in STAR-RIS-Aided Rate-Splitting Multiple Access Systems. - Zhiqiang Wang, Yiran Pang, Yanbin Lin:
Large Language Models Are Zero-Shot Text Classifiers. - Yisheng Zhong, Li-Ping Wang:
PROFL: A Privacy-Preserving Federated Learning Method with Stringent Defense Against Poisoning Attacks. - Xingqiu He, Chaoqun You, Tony Q. S. Quek:
Joint User Association and Resource Allocation for Multi-Cell Networks with Adaptive Semantic Communication. - Nazzere Oryngozha, Pakizar Shamoi, Ayan Igali:
Detection and Analysis of Stress-Related Posts in Reddit Acamedic Communities. - Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua:
Structured, Complex and Time-complete Temporal Event Forecasting. - Nivedita Sethiya, Chandresh Kumar Maurya:
End-to-End Speech-to-Text Translation: A Survey. - Manasi Sharma:
Exploring and Improving the Spatial Reasoning Abilities of Large Language Models. - Saakaar Bhatnagar:
Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks. - Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy:
RLHF and IIA: Perverse Incentives. - Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu:
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment. - Aoran Jiao, Tanmay P. Patel, Sanjmi Khurana, Anna-Mariya Korol, Lukas Brunke, Vivek K. Adajania, Utku Culha, Siqi Zhou, Angela P. Schoellig:
Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design. - Peifu Liu, Tingfa Xu, Huan Chen, Shiyun Zhou, Haolin Qin, Jianan Li:
Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection. - Mustafa Yurdakul, Sakir Tasdemir:
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines. - Muhammad Haris, Sören Auer, Markus Stocker:
Scholarly Knowledge Graph Construction from Published Software Packages. - Zhonghao Yang, Shuhao Zhang:
A Database System for State Management in Stateful Network Service Function Chains [Vision]. - Aven Le Zhou, Kang Zhang, David Yip:
Painterly Reality: Enhancing Audience Experience with Paintings through Interactive Art. - Jiapeng Tang, Angela Dai, Yinyu Nie, Lev Markhasin, Justus Thies, Matthias Nießner:
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking. - Lingyi Wang, Wei Wu, Fuhui Zhou, Qihui Wu, Octavia A. Dobre, Tony Q. S. Quek:
Hybrid Hierarchical DRL Enabled Resource Allocation for Secure Transmission in Multi-IRS-Assisted Sensing-Enhanced Spectrum Sharing Networks. - Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni:
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning. - Miaoxin Ye, Dongxia Huang, Kangkang Wei, Weiqi Luo:
A Novel Residual-guided Learning Method for Image Steganography. - Lingyi Wang, Wei Wu, Fuhui Zhou, Zhaohui Yang, Zhijin Qin:
Adaptive Resource Allocation for Semantic Communication Networks. - Branislav Pecher, Ivan Srba, Mária Bieliková:
On the Effects of Randomness on Stability of Learning with Limited Labelled Data: A Systematic Literature Review. - Fei Guo, Li Zhu, Yikang Wang, Han Qi:
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM2C). - Shuang Xu, Sifan Zhou, Zhi Tian, Jizhou Ma, Qiong Nie, Xiangxiang Chu:
RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning. - Aniket Deroy, Subhankar Maity, Saptarshi Ghosh:
Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries. - Yuxiang Sun, Checheng Yu, Junjie Zhao, Wei Wang, Xianzhong Zhou:
Self Generated Wargame AI: Double Layer Agent Task Planning Based on Large Language Model. - Zihao Li, Jianfeng Li, Zheyuan He, Xiapu Luo, Ting Wang, Xiaoze Ni, Wenwu Yang, Xi Chen, Ting Chen:
Demystifying DeFi MEV Activities in Flashbots Bundle. - Amantur Amatov, Dmitry Lamanov, Maksim Titov, Ivan Vovk, Ilya Makarov, Mikhail A. Kudinov:
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task. - Maxim Glebov, Teddy Lazebnik, Boris Orkin, Haim Berkenstadt, Svetlana Bunimovich-Mendrazitsky:
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study. - Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao:
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty. - Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. - Jihun Park, Yongjeong Oh, Jaewon Yun, Seonjung Kim, Yo-Seb Jeon:
Prior-Aware Robust Beam Alignment for Low-SNR Millimeter-Wave Communications. - Silvia Bertoluzza:
Localization of trace norms in two and three dimensions. - Raviraj Joshi, Nikesh Garera:
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints. - Yumeng Li, Yaoxiang Ding, Zhong Ren, Kun Zhou:
QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation. - Patrick Ruhkamp, Daoyi Gao, Nassir Navab, Benjamin Busam:
S2P3: Self-Supervised Polarimetric Pose Prediction. - Raviraj Joshi, Nikesh Garera:
Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning. - Nora Dunder, Saga Lundborg, Olga Viberg, Jacqueline Wong:
Kattis vs. ChatGPT: Assessment and Evaluation of Programming Tasks in the Age of Artificial Intelligence. - Dionysis Kalogerias, Spyridon Pougkakiotis:
Strong Duality Relations in Nonconvex Risk-Constrained Learning. - Pinar Gurkan Balikcioglu, Melih Sirlanci, Ozge Acar Kucuk, Bulut Ulukapi, Ramazan Turkmen, Cengiz Acartürk:
Malicious code detection in android: the role of sequence characteristics and disassembling methods. - Cengiz Acartürk, Aysegül Özkan, Tugçe Nur Pekçetin, Zuhal Ormanoglu, Bilal Kirkici:
TURead: An eye movement dataset of Turkish reading. - Azimkhon Ostonov, Mikhail Moshkov:
Comparison of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes. - Michael A. Alcorn, Noah Schwartz:
Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World. - Jiantao Wu, Shentong Mo, Sara Atito, Josef Kittler, Zhenhua Feng, Muhammad Awais:
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning. - Thomas Geert de Jong, Nozomi Akashi, Tomohiro Taniguchi, Hirofumi Notsu, Kohei Nakajima:
Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir. - Jing Zhu, Qu Luo, Gaojie Chen, Pei Xiao, Lixia Xiao:
Design and Performance Analysis of Index Modulation Empowered AFDM System. - Haibo Liu, Qu Luo, Zilong Liu, Shan Luo, Pei Xiao, Rongping Lin:
BER Analysis of SCMA-OFDM Systems in the Presence of Carrier Frequency Offset. - Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon:
ControlDreamer: Stylized 3D Generation with Multi-View ControlNet. - Lehong Wang, Savita V. Kendre, Haotian Liu, Markus P. Nemitz:
STREAM: Software Tool for Routing Efficiently Advanced Macrofluidics. - Savita V. Kendre, Lehong Wang, Ethan Wilke, Nicholas E. Pacheco, Loris Fichera, Markus P. Nemitz:
FDM Printing: a Fabrication Method for Fluidic Soft Circuits? - Yijia Wu, Zilin Dai, Haotian Liu, Lehong Wang, Markus P. Nemitz:
Vision-based FDM Printing for Fabricating Airtight Soft Actuators. - Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Fast and Robust Sparsity-Aware Block Diagonal Representation. - Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan:
Towards leveraging LLMs for Conditional QA. - Aikaterini Adam, Konstantinos Karantzalos, Lazaros Grammatikopoulos, Torsten Sattler:
Has Anything Changed? 3D Change Detection by 2D Segmentation Masks. - Soumyashree Rana, Sounaka Mishra, Bhawani Sankar Panda:
Disjoint Dominating and 2-Dominating Sets in Graphs: Hardness and Approximation results. - Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang:
Pointer Networks Trained Better via Evolutionary Algorithms. - Zilong Liu, Krzysztof Janowicz, Kitty Currier, Meilin Shi, Jinmeng Rao, Song Gao, Ling Cai, Anita Graser:
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. - Kaiyu Li, Xiangyong Cao, Deyu Meng:
A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection. - Kay Schröder, Wiebke Eberhardt, Poornima Belavadi, Batoul Ajdadilish, Nanette van Haften, Ed Overes, Taryn Brouns, André Calero Valdez:
Telling stories with data - A systematic review. - Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. - Changrui Chen, Jungong Han, Kurt Debattista:
Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels. - Ziang Chen, Li-Wei Chen, Xianyue Zhao, Kefeng Li, Heidemarie Schmidt, Ilia Polian, Nan Du:
Power-balanced Memristive Cryptographic Implementation Against Side Channel Attacks. - Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris:
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. - Fatemeh Asadi-zeydabadi, Ali Afkari-Fahandari, Amin Faraji, Elham Shabaninia, Hossein Nezamabadi-pour:
IDPL-PFOD2: A New Large-Scale Dataset for Printed Farsi Optical Character Recognition. - Khandaker Tayef Shahriar, Iqbal H. Sarker:
Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets. - (Withdrawn) The time dimensional reduction method to determine the initial conditions for nonlinear and nonlocal hyperbolic equations.
- Veda Joynt, Jacob Cooper, Naman Bhargava, Katie Vu, O. Hwang Kwon, Todd R. Allen, Aditi Verma, Majdi I. Radaideh:
A Comparative Analysis of Text-to-Image Generative AI Models in Scientific Contexts: A Case Study on Nuclear Power. - Ki Hwan Oh, Leonardo Borgioli, Alberto Mangano, Valentina Valle, Marco Di Pangrazio, Francesco Toti, Gioia Pozza, Luciano Ambrosini, Alvaro Ducas, Milos Zefran, Liaohai Chen, Pier Cristoforo Giulianotti:
Comprehensive Robotic Cholecystectomy Dataset (CRCD): Integrating Kinematics, Pedal Signals, and Endoscopic Videos. - Alexander Kolpakov, Igor Rivin:
A ripple in time: a discontinuity in American history. - Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren R. Morningstar, Philip Andrew Mansfield:
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer. - Soumya Roy, Vinay Kumar Verma, Deepak Gupta:
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. - Cong Yang, Zuchao Li, Lefei Zhang:
Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning. - Antonios Georgantas:
Vehicle path and traffic flow optimization via lane changing of automated or semi-automated vehicles on motorways. - Bo Feng, Meng Luo, Changming Liu, Long Lu, Engin Kirda:
AIM: Automatic Interrupt Modeling for Dynamic Firmware Analysis. - Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen:
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. - Petros Demetrakopoulos:
Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data. - Chen Doytshman, Satoru Momiyama, Inderjeet Singh, Yuval Elovici, Asaf Shabtai:
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning. - Qipan Xu, Youlong Ding, Jie Gao, Hao Wang:
PAC Privacy Preserving Diffusion Models. - Alex Liu, Min Sun:
From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews. - Edan Meyer, Adam White, Marlos C. Machado:
Harnessing Discrete Representations For Continual Reinforcement Learning. - Kouros Zanbouri, Md. Noor-A-Rahim, Jobish John, Cormac J. Sreenan, H. Vincent Poor, Dirk Pesch:
A Comprehensive Survey of Wireless Time-Sensitive Networking (TSN): Architecture, Technologies, Applications, and Open Issues. - Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel:
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology. - Astha Kukreja:
Model-Based Sensor Diagnostics for Robotic Manipulators. - Baptiste Brument, Robin Bruneau, Yvain Quéau, Jean Mélou, François Bernard Lauze, Jean-Denis Durou, Lilian Calvet:
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction. - Andy Davies, Eiko Fried, Hane Aung, Omar Costilla-Reyes:
Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach. - Yashaswi Pupneja, Joseph Zou, Sacha Lévy, Shenyang Huang:
Understanding Opinions Towards Climate Change on Social Media. - Herbert Maosa, Karim Ouazzane, Mohamed Chahine Ghanem:
A Hierarchical Security Events Correlation Model for Real-time Cyber Threat Detection and Response. - Zhipeng Du, Miaojing Shi, Jiankang Deng:
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation. - Naman Srivastava, Gaurang Belekar, Sunil Saumya, Aswath Babu H:
Enabling Quantum Natural Language Processing for Hindi Language. - Ruofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, Elke A. Rundensteiner:
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection. - Parth Paritosh, Nikolay Atanasov, Sonia Martínez:
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities. - Zihao Zhang, Huiqi Hu, Xuan Zhou, Yaofeng Tu, Weining Qian, Aoying Zhou:
Fast Commitment for Geo-Distributed Transactions via Decentralized Co-coordinators. - Mahmoud Khalil, Ahmad Khalil, Alioune Ngom:
A Comprehensive Study of Vision Transformers in Image Classification Tasks. - Ningning Ding, Ermin Wei, Randall Berry:
Strategic Data Revocation in Federated Unlearning. - Niklas Funk, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters:
Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation. - Aris Filos-Ratsikas, Kristoffer Arnsfelt Hansen, Kasper Høgh, Alexandros Hollender:
PPAD-membership for Problems with Exact Rational Solutions: A General Approach via Convex Optimization. - Sarthak Jain, Sandra E. Safo:
A deep learning pipeline for cross-sectional and longitudinal multiview data integration. - Xunzhu Tang, Zhenghan Chen, Kisub Kim, Haoye Tian, Saad Ezzini, Jacques Klein:
Just-in-Time Security Patch Detection - LLM At the Rescue for Data Augmentation. - Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek:
DDxT: Deep Generative Transformer Models for Differential Diagnosis. - Ali Hürriyetoglu, Hristo Tanev, Osman Mutlu, Surendrabikram Thapa, Fiona Anting Tan, Erdem Yörük:
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report. - Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu:
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. - Yong Jin Daniel Kim:
On Merits of Faster-than-Nyquist Signaling in the Finite Blocklength Regime. - Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang:
Meta ControlNet: Enhancing Task Adaptation via Meta Learning. - Niloufar Sayadi, Phuong Ha Nguyen, Marten van Dijk, Chenglu Jin:
Breaking XOR Arbiter PUFs without Reliability Information. - Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang:
Rethinking PGD Attack: Is Sign Function Necessary? - Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk:
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. - Kangcheng Liu:
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors. - Huanyi Qin, Denis Akhiyarov, Sophie Loehlé, Kenneth Chiu, Mauricio Araya-Polo:
Distributed Reinforcement Learning for Molecular Design: Antioxidant case. - Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer:
Learning to Compose SuperWeights for Neural Parameter Allocation Search. - Anna A. Ivanova:
Running cognitive evaluations on large language models: The do's and the don'ts. - James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. - Huzheng Yang, James C. Gee, Jianbo Shi:
Brain Decodes Deep Nets. - Zonghao Huang, Neil Gong, Michael K. Reiter:
Mendata: A Framework to Purify Manipulated Training Data. - Chao Fan, Zhenyu Yin, Yue Li, Feiqing Zhang:
Deeper into Self-Supervised Monocular Indoor Depth Estimation. - Quang Nguyen, Truong Vu, Cuong Pham, Anh Tran, Khoi Nguyen:
Stable Messenger: Steganography for Message-Concealed Image Generation. - Yane Kim, Bharath Velamala, Youngseo Choi, Yujin Kim, Hyunkin Kim, Nishad Kulkarni, Eung-Joo Lee:
A Literature Review on the Smart Wheelchair Systems. - William F. Arnold, Lucas Spangher, Christina Rea:
Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas. - Hoon Lee, Seung-Wook Kim:
Task-Oriented Edge Networks: Decentralized Learning Over Wireless Fronthaul. - Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara:
Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities. - Shuang Zheng, Xing Zhang, Peng Wang, Wenbo Wang:
Joint Beam Scheduling and Power Optimization for Beam Hopping LEO Satellite Systems. - Ying Liu, Peng Cui, Wenbo Hu, Richang Hong:
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series. - Guandong Li, Xian Yang:
Two-stage dynamic creative optimization under sparse ambiguous samples for e-commerce advertising. - Ming Li, Wenyan Lu, Hanyue Lin, Jingya Wu, Yu Zhang, Guihai Yan:
FlatProxy: A DPU-centric Service Mesh Architecture for Hyperscale Cloud-native Application. - Soheila Ashkezari-Toussi, Hadi Sadoghi Yazdi:
Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks. - David Hason Rudd, Huan Huo, Md. Rafiqul Islam, Guandong Xu:
Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data. - Balachandra D. S, Maithreyee M. S, Saipavan B. M, Shashank S, P. Devaki, Ashwini M:
Smart safety watch for elderly people and pregnant women. - Silvery Fu, Siyuan Dong, Jamsheed Mistri, Steven McCanne, Amy Ousterhout, Sylvia Ratnasamy:
Jut: A Framework for Just-in-Time Data Access. - Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi:
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models. - Harsh Chaudhari, Anuja Patil, Dhanashree Lavekar, Pranav Khairnar, Raviraj Joshi, Sachin Pande:
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi. - Haoran Geng, Songlin Wei, Congyue Deng, Bokui Shen, He Wang, Leonidas J. Guibas:
SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions. - HyoJung Han, Jordan Lee Boyd-Graber, Marine Carpuat:
Bridging Background Knowledge Gaps in Translation with Automatic Explicitation. - Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang:
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. - Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz:
Few-shot Shape Recognition by Learning Deep Shape-aware Features. - Mahesh Ramesh, Aswinkumar Ramkumar:
MABViT - Modified Attention Block Enhances Vision Transformers. - Xinyi Wang, Yulong Ding, Yizhou Chen, Ruihua Han, Lele Xi, Ben M. Chen:
OA-ECBVC: A Cooperative Collision-free Encirclement and Capture Approach in Cluttered Environments. - Roy Peled, Eran Aizikovich, Edan Habler, Yuval Elovici, Asaf Shabtai:
Evaluating the Security of Satellite Systems. - Aref Farhadipour, Pouya Taghipour:
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique. - Kamyar Zeinalipour, Mohamed Zaky Saad, Marco Maggini, Marco Gori:
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications. - Zheyi Qin, Randy C. Paffenroth, Anura P. Jayasumana:
Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks. - Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares:
tsMorph: generation of semi-synthetic time series to understand algorithm performance. - Manel Velasco, Isiah Zaplana, Arnau Dòria-Cerezo, Josué Duarte, Pau Martí:
Introducing Modelling, Analysis and Control of Three-Phase Electrical Systems Using Geometric Algebra. - Francis Rhys Ward, Francesco Belardinelli, Francesca Toni, Tom Everitt:
Honesty Is the Best Policy: Defining and Mitigating AI Deception. - Maya Anderson, Gidon Gershinsky, Eliot E. Salant, Salvador Garcia:
Protecting Sensitive Tabular Data in Hybrid Clouds. - AlMotasem Bellah AlAjlouni, Jinlong Li:
CEScore: Simple and Efficient Confidence Estimation Model for Evaluating Split and Rephrase. - Cheng Zeng, Jiaqi Tian, Yixuan Xu:
Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF). - Eduard Heiss, Andrey Kozyr, Oleg Morozov:
Formations organization in robotic swarm using the thermal motion equivalent method. - Lore Depuydt, Travis Gagie, Ben Langmead, Giovanni Manzini, Nicola Prezza:
Suffixient Sets. - Jianchen Zhao, Cheng-Ching Tseng, Ming Lu, Ruichuan An, Xiaobao Wei, He Sun, Shanghang Zhang:
MoEC: Mixture of Experts Implicit Neural Compression. - Sudarsanan A. K, Vineeth Bala Sukumaran, Chandra R. Murthy:
Tradeoff of age-of-information and power under reliability constraint for short-packet communication with block-length adaptation. - Bowen Sun, Shibao Zheng:
DiFace: Cross-Modal Face Recognition through Controlled Diffusion. - Geeta Chowdhry, Falguni Roy:
A W-weighted generalization of {1, 2, 3, 1k}-inverse for rectangular matrices. - Hao Yang, Liyuan Pan, Yan Yang, Wei Liang:
Language-driven All-in-one Adverse Weather Removal. - Yi-Jun Chang, Gopinath Mishra, Hung Thuan Nguyen, Mingyang Yang, Yu-Cheng Yeh:
A Tight Lower Bound for 3-Coloring Grids in the Online-LOCAL Model. - Wenjia Wang, Xiaowei Zhang, Lu Zou:
Regret Optimality of GP-UCB. - Shaofeng H.-C. Jiang, Robert Krauthgamer, Shay Sapir:
Moderate Dimension Reduction for k-Center Clustering. - David Yevick, Karolina Hutchison:
Neural Network Characterization and Entropy Regulated Data Balancing through Principal Component Analysis. - Gleb Polevoy, Tomasz Michalak:
Hiders' Game. - Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen:
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. - Anmol Singhal, Preethu Rose Anish, Shirish S. Karande, Smita Ghaisas:
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective. - Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. - Liao Wang, Kaixin Yao, Chengcheng Guo, Zhirui Zhang, Qiang Hu, Jingyi Yu, Lan Xu, Minye Wu:
VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams. - Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou:
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. - Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein:
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models. - Raphael Yuster:
Finding and counting small tournaments in large tournaments. - Yixiang Jin, Dingzhe Li, Yong A, Jun Shi, Peng Hao, Fuchun Sun, Jianwei Zhang, Bin Fang:
RobotGPT: Robot Manipulation Learning from ChatGPT. - Long Yuan, Kongzhang Hao, Xuemin Lin, Wenjie Zhang:
Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs. - Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski:
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars. - Wenjie Pei, Qizhong Tan, Guangming Lu, Jiandong Tian:
D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition. - Zhengqi Lin, Andrzej Ruszczynski:
Fast Dual Subgradient Optimization of the Integrated Transportation Distance Between Stochastic Kernels. - Mohit Pal, Pantelimon Stanica:
A connection between the boomerang uniformity and the extended differential in odd characteristic and applications. - Saurav Sengupta, Donald E. Brown:
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT. - Vitaly Cheptsov, Alexey Khoroshilov:
Robust Resource Partitioning Approach for ARINC 653 RTOS. - Robin Strässer, Manuel Schaller, Karl Worthmann, Julian Berberich, Frank Allgöwer:
Koopman-based feedback design with stability guarantees. - Yung-Chi Kung, Arthur Zhang, Junmin Wang, Joydeep Biswas:
Looking Inside Out: Anticipating Driver Intent From Videos.