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ORCIDCoRR, April 2024
- Tran Duy Anh Le, Michael P. Reidy
, Eliot J. Smith:
A Critique of Chen's "The 2-MAXSAT Problem Can Be Solved in Polynomial Time". - Wolfgang Gatterbauer:
A Comprehensive Tutorial on over 100 Years of Diagrammatic Representations of Logical Statements and Relational Queries. - Jason Liu:
A novel interface for adversarial trivia question-writing. - Debarati Chakraborty, Ravi Ranjan:
Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction. - Simon Linke, Tim Ziemer:
SOMson - Sonification of Multidimensional Data in Kohonen Maps. - Anirban Mukherjee:
Psittacines of Innovation? Assessing the True Novelty of AI Creations. - Eunkyung Park, Raymond K. Wong, Junbum Kwon:
Can AI Outperform Human Experts in Creating Social Media Creatives? - Sule Tekkesinoglu, Azra Habibovic, Lars Kunze:
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap. - Jianfeng Zhan, Lei Wang, Wanling Gao, Hongxiao Li, Chenxi Wang, Yunyou Huang, Yatao Li, Zhengxin Yang, Guoxin Kang, Chunjie Luo, Hainan Ye, Shaopeng Dai, Zhifei Zhang:
Evaluatology: The Science and Engineering of Evaluation. - Mirthe Dankloff, Vanja Skoric, Giovanni Sileno, Sennay Ghebreab, Jacco van Ossenbruggen, Emma Beauxis-Aussalet:
Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector. - Alexis E. Block:
Hey, Teacher, (Don't) Leave Those Kids Alone: Standardizing HRI Education. - Wen-Jie Tseng:
Understanding Physical Breakdowns in Virtual Reality. - Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam:
Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs. - Azmine Toushik Wasi, Mst Rafia Islam, Raima Islam:
LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning. - Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger:
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. - Swarup Ranjan Behera, Vijaya V. Saradhi:
Visualization of Unstructured Sports Data - An Example of Cricket Short Text Commentary. - S. Narayanan, Sara Ahmadi, Peter Desain, Jordy Thielen:
Towards gaze-independent c-VEP BCI: A pilot study. - Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. - Jisu Kim, Kirak Kim:
The Hall of Singularity: VR Experience of Prophecy by AI. - Eloy Serrano-Seco, Eduardo Moya-Lasheras, Edgar Ramirez-Laboreo:
A Fast Convergence Algorithm for Iterative Adaptation of Feedforward Controller Parameters. - Flavio Ponzina, Tajana Rosing:
MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems. - Ilyas Bennia, Yacine Daili, Abdelghani Harrag, Walid Issa:
Stationary and Dynamic Reference Frame Comparison Based Microgrid Application. - Ivan Sergeev:
On contention resolution for the hypergraph matching, knapsack, and k-column sparse packing problems. - Jasur Shukurov:
Improve accessibility for Low Vision and Blind people using Machine Learning and Computer Vision. - Muhammad Aneeq uz Zaman, Shubham Aggarwal, Melih Bastopcu, Tamer Basar:
Policy Optimization finds Nash Equilibrium in Regularized General-Sum LQ Games. - Amparo Guemes Gonzalez, Tiago da Silva Costa, Tamar Makin:
Guidelines for Public and Patient Involvement in Neurotechnology in the United Kingdom. - Jaime Sancho, Manuel Villa, Miguel Chavarrías, Eduardo Juárez, Alfonso Lagares, César Sanz:
SLIMBRAIN: Augmented Reality Real-Time Acquisition and Processing System For Hyperspectral Classification Mapping with Depth Information for In-Vivo Surgical Procedures. - Márcio Rocha Ferreira, Tadeu Moreira de Classe, Sean Wolfgand Matsui Siqueira:
Web-based Interactive Narratives to Present Business Processes Models. - Miao Peng, Ben Liu, Wenjie Xu, Zihao Jiang, Jiahui Zhu, Min Peng:
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning. - Siyuan Peng, Kate Ladenheim, Snehesh Shrestha, Cornelia Fermüller:
Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance. - Patrick Darwinkel:
Fingerprinting web servers through Transformer-encoded HTTP response headers. - Hongyu Hè:
PerOS: Personalized Self-Adapting Operating Systems in the Cloud. - Louise Robert, Quentin Luzurier, Anaïs Velcker, Emma Mathieu, Loic Fontaine, David Morquin:
ERIOS: Co-construction of a Dynamic Temporal Visualization Tool in the Electronic Health Record. - Savo Glisic:
Modelling the Impact of Quantum Circuit Imperfections on Networks and Computer Applications. - Peter Fettke, Wolfgang Reisig:
Towards a Theoretical Foundation of Process Science. - Xinran Li:
Local Observability of VINS and LINS. - Fatama Tuz Johora, Md Shahedul Islam Khan, Esrath Kanon, Mohammad Abu Tareq Rony, Md. Zubair, Iqbal H. Sarker:
A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors. - Jianwei Cui, Wenhang Shi, Honglin Tao, Wei Lu, Xiaoyong Du:
A Two-Phase Recall-and-Select Framework for Fast Model Selection. - Shahed Rezaei, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Gottfried Laschet, Stefanie Reese, Markus Apel:
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations. - Rafael Orozco, Abhinav Prakash Gahlot, Felix J. Herrmann:
BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration. - Orson Mengara:
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks. - Bahman Moraffah:
Bayesian Nonparametrics: An Alternative to Deep Learning. - Yikang Zhou, Tao Zhang, Shunping Ji, Shuicheng Yan, Xiangtai Li:
DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries. - Yun-Yun Tsai, Fu-Chen Chen, Albert Y. C. Chen, Junfeng Yang, Che-Chun Su, Min Sun, Cheng-Hao Kuo:
GDA: Generalized Diffusion for Robust Test-time Adaptation. - Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye, Bastian Goldluecke, Daniel Cremers:
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo. - Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang:
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. - Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew G. Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro:
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. - Syeda Nyma Ferdous, Xin Li:
Robust Ensemble Person Re-Identification via Orthogonal Fusion with Occlusion Handling. - Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang:
Efficient Data-Free Model Stealing with Label Diversity. - Bruno José Olivieri de Souza, Markus Endler:
Experi\^encias, Resultados e Reflex\~oes a partir do Gerenciamento de experimentos no Mundo Real com FANETs e VANTs - Vers\~ao Estendida. - Liviu-Daniel Stefan, Dan-Cristian Stanciu, Mihai Dogariu, Mihai Gabriel Constantin, Andrei Cosmin Jitaru, Bogdan Ionescu:
Deepfake Sentry: Harnessing Ensemble Intelligence for Resilient Detection and Generalisation. - Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. - Nikhil U. Shinde, Zih-Yun Chiu, Florian Richter, Jason Lim, Yuheng Zhi, Sylvia L. Herbert, Michael C. Yip:
SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation. - Sana Isam, Hossein Hassani:
Where Are You From? Let Me Guess! Subdialect Recognition of Speeches in Sorani Kurdish. - Muhammad Ali Siddiqi, Jan Andrés Galvan Hernández, Anteneh Gebregiorgis, Rajendra Bishnoi, Christos Strydis, Said Hamdioui, Mottaqiallah Taouil:
Memristor-Based Lightweight Encryption. - Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. - Chase Stokes, Marti A. Hearst:
Give Text A Chance: Advocating for Equal Consideration for Language and Visualization. - Chuyuan Tao, Sheng Cheng, Yang Zhao, Fanxin Wang, Naira Hovakimyan:
An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals. - Wentao Wu, Chi Wang:
Budget-aware Query Tuning: An AutoML Perspective. - Honghui Xu, Yingshu Li, Olusesi Balogun, Shaoen Wu, Yue Wang, Zhipeng Cai:
Security Risks Concerns of Generative AI in the IoT. - Xiaolei Lu, Jianghong Ma:
Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks. - Ahmad Diab, Rr. Nefriana, Yu-Ru Lin:
Classifying Conspiratorial Narratives At Scale: False Alarms and Erroneous Connections. - Yorai Shaoul, Itamar Mishani, Maxim Likhachev, Jiaoyang Li:
Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences. - Huiyuan Yu, Jia He, Maggie X. Cheng:
Fast OMP for Exact Recovery and Sparse Approximation. - Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi:
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection. - Avrim Blum, Melissa Dutz:
Winning Without Observing Payoffs: Exploiting Behavioral Biases to Win Nearly Every Round. - Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. - Elie Eshoa, Ali R. Zomorrodi:
Precision game engineering through reshaping strategic payoffs. - Bosu Choi, Yoonsang Lee:
Sampling error mitigation through spectrum smoothing in ensemble data assimilation. - Sharon A. Ferguson, Michael Massimi:
Circle Back Next Week: The Effect of Meeting-Free Weeks on Distributed Workers' Unstructured Time and Attention Negotiation. - Meead Saberi, Tanapon Lilasathapornkit:
Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data. - Yi-Heng Cao, Vincent Bourbonne, François Lucia, Ulrike Schick, Julien Bert, Vincent Jaouen, Dimitris Visvikis:
CT respiratory motion synthesis using joint supervised and adversarial learning. - Markus J. Hofmann, Markus T. Jansen, Christoph Wigbels, Benny B. Briesemeister, Arthur M. Jacobs:
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education. - Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser, Svetlana Kiritchenko:
Uncovering Bias in Large Vision-Language Models with Counterfactuals. - Tobias Fischer, Lorenzo Porzi, Samuel Rota Bulò, Marc Pollefeys, Peter Kontschieder:
Multi-Level Neural Scene Graphs for Dynamic Urban Environments. - Sharon A. Ferguson, Georgia Van de Zande, Alison Olechowski:
No Risk, No Reward: Towards An Automated Measure of Psychological Safety from Online Communication. - Asheesh Sharma, Lucy Randewich, William Andrew, Sion L. Hannuna, Neill W. Campbell, Siobhan Mullan, Andrew W. Dowsey, Melvyn L. Smith, Mark F. Hansen, Tilo Burghardt:
Universal Bovine Identification via Depth Data and Deep Metric Learning. - David Valiente, Fernando Rodríguez-Mas, Juan V. Alegre-Requena, David Dalmau, Juan-Carlos Ferrer:
Comparing Hyper-optimized Machine Learning Models for Predicting Efficiency Degradation in Organic Solar Cells. - Dominik Schlechtweg, Shafqat Mumtaz Virk, Nikolay Arefyev:
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks. - Hannah Kerner, Saketh Sundar, Mathan Satish:
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels. - Marianna Marcella Bolognesi, Claudia Collacciani, Andrea Ferrari, Francesca Genovese, Tommaso Lamarra, Adele Loia, Giulia Rambelli, Andrea Amelio Ravelli, Caterina Villani:
Word Ladders: A Mobile Application for Semantic Data Collection. - Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy:
On Inherent Adversarial Robustness of Active Vision Systems. - Edward L. Zhu, Francesco Borrelli:
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing. - Manit Mishra, Abderrahman Braham, Charles Marsom, Bryan Chung, Gavin Griffin, Dakshesh Sidnerlikar, Chatanya Sarin, Arjun Rajaram:
DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries. - Xiao Liu, Jiawei Zhang:
GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs. - Sandra Deepthy Siby, Sina Abdollahi, Mohammad Maheri, Marios Kogias, Hamed Haddadi:
GuaranTEE: Towards Attestable and Private ML with CCA. - Krishnanshu Gupta, Devon Bolt, Ben Hinchliff:
Optimal Blackjack Strategy Recommender: A Comprehensive Study on Computer Vision Integration for Enhanced Gameplay. - Yichun Zhao, Miguel A. Nacenta:
Tools and Tasks in Sensemaking: A Visual Accessibility Perspective. - Yilei Chen, Aldo Pacchiano, Ioannis Ch. Paschalidis:
Multiple-policy Evaluation via Density Estimation. - Chris Porter, Sharjeel Khan, Kangqi Ni, Santosh Pande:
Combined Static Analysis and Machine Learning Prediction for Application Debloating. - Robert B. Parker, Carleton Coffrin:
Managing power balance and reserve feasibility in the AC unit commitment problem. - Larkin Liu, Yuming Rong:
A Stackelberg Regret Minimizing Framework for Online Learning in Newsvendor Pricing Games. - Junyang Zhang, Cristian Emanuel Ocampo Rivera, Kyle Tyni, Steven Nguyen:
A PPO-based DRL Auto-Tuning Nonlinear PID Drone Controller for Robust Autonomous Flights. - Ben Zhou, Hongming Zhang, Sihao Chen, Dian Yu, Hongwei Wang, Baolin Peng, Dan Roth, Dong Yu:
Conceptual and Unbiased Reasoning in Language Models. - (Withdrawn) Random Reed-Solomon Codes are List Recoverable with Optimal List Size.
- Bohan Zhang, Yixin Wang, Paramveer S. Dhillon:
Causal Inference for Human-Language Model Collaboration. - Ahmad Ayaz Amin:
Discrete Natural Evolution Strategies. - Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang:
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs. - Daeun Song, Jing Liang, Amirreza Payandeh, Xuesu Xiao, Dinesh Manocha:
Socially Aware Robot Navigation through Scoring Using Vision-Language Models. - Pouya Pezeshkpour, Estevam Hruschka:
Multi-Conditional Ranking with Large Language Models. - Yue Niu, Jonathan Sterling, Robert Harper:
Cost-sensitive computational adequacy of higher-order recursion in synthetic domain theory. - Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo O. Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas, Todd Hendry:
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning. - Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. - Haoyuan Li, Snigdha Chaturvedi:
Rationale-based Opinion Summarization. - Gustavo Bartz Guedes, Ana Estela Antunes da Silva:
Classification and Clustering of Sentence-Level Embeddings of Scientific Articles Generated by Contrastive Learning. - Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He:
Heterogeneous Contrastive Learning for Foundation Models and Beyond. - Tongkun Su, Jun Li, Xi Zhang, Haibo Jin, Hao Chen, Qiong Wang, Faqin Lv, Baoliang Zhao, Yin Hu:
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training. - Kalahasti Ganesh Srivatsa, Sabyasachi Mukhopadhyay, Ganesh Katrapati, Manish Shrivastava:
A Survey of using Large Language Models for Generating Infrastructure as Code. - Yan-Shuo Liang, Wu-Jun Li:
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. - Zheling Meng, Bo Peng, Jing Dong:
Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space. - Linchen Qian, Jiasong Chen, Linhai Ma, Timur Urakov, Weiyong Gu, Liang Liang:
Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images. - Baoyu Li, William Edwards, Kris Hauser:
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning. - (Withdrawn) Grid Diffusion Models for Text-to-Video Generation.
- Jaydip Sen, Joceli Mayer, Subhasis Dasgupta, Subrata Nandi, Srinivasan Krishnaswamy, Pinaki Mitra, Mahendra Pratap Singh, Naga Prasanthi Kundeti, Chandra Sekhara Rao MVP, Sudha Sree Chekuri, Seshu Babu Pallapothu, Preethi Nanjundan, Jossy P. George, Abdelhadi El Allahi, Ilham Morino, Salma AIT Oussous, Siham Beloualid, Ahmed Tamtaoui, Abderrahim Bajit:
Information Security and Privacy in the Digital World: Some Selected Topics. - Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang:
Enhancing Content-based Recommendation via Large Language Model. - Haotian Lin, Yixiao Wang, Mingxiao Huo, Chensheng Peng, Zhiyuan Liu, Masayoshi Tomizuka:
Joint Pedestrian Trajectory Prediction through Posterior Sampling. - Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin:
DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference. - Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Li Chen, Kaikui Liu, Fan Yang, Ning Guo:
DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking. - Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy:
Aligning Large Language Models with Recommendation Knowledge. - Guande Wu, Chen Zhao, Cláudio T. Silva, He He:
Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World. - Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang:
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives. - M. Nacianceno, Tamer Oraby, H. Rodrigo, Y. Sepulveda, Josef A. Sifuentes, Erwin Suazo, T. Stuck, J. Williams:
Numerical Simulations for Fractional Differential Equations of Higher Order and a Wright-Type Transformation. - Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. - Ruijie Quan, Wenguan Wang, Fan Ma, Hehe Fan, Yi Yang:
Clustering for Protein Representation Learning. - Jeong-Hoon Ju, Taehyeong Kim, Yeongrak Kim, Hayoung Choi:
Geometric mean for T-positive definite tensors and associated Riemannian geometry. - (Withdrawn) YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery.
- Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in Image Super-Resolution. - Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. - Yuan Wang, Rui Sun, Naisong Luo, Yuwen Pan, Tianzhu Zhang:
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation. - Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura:
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation. - Zhiheng Yu, Jiancheng An, Lu Gan, Chau Yuen:
Environment-Aware Codebook for RIS-Assisted MU-MISO Communications: Implementation and Performance Analysis. - Zhivar Sourati, Meltem Ozcan, Colin McDaniel, Alireza S. Ziabari, Nuan Wen, Ala N. Tak, Fred Morstatter, Morteza Dehghani:
Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits. - Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. - Yushuang Wu, Luyue Shi, Junhao Cai, Weihao Yuan, Lingteng Qiu, Zilong Dong, Liefeng Bo, Shuguang Cui, Xiaoguang Han:
IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images. - Chou-Ying Hsieh, Po-Chieh Lin, Sy-Yen Kuo:
Engineering A Workload-balanced Push-Relabel Algorithm for Massive Graphs on GPUs. - Ye Qiao, Haocheng Xu, Sitao Huang:
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search. - Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification. - Hongqiu Wu, Yan Wang, Xingyuan Liu, Hai Zhao, Min Zhang:
Instruction-Driven Game Engines on Large Language Models. - Shihao Zhou, Duosheng Chen, Jinshan Pan, Jufeng Yang:
Look-Around Before You Leap: High-Frequency Injected Transformer for Image Restoration. - Yuji Cao, Huan Zhao, Yuheng Cheng, Ting Shu, Guolong Liu, Gaoqi Liang, Junhua Zhao, Yun Li:
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. - V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya:
A Likelihood Ratio Test of Genetic Relationship among Languages. - Jihun Kim, Dahyun Kim, Hyungrok Jung, Taeil Oh, Jonghyun Choi:
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model. - Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, Yang Liu:
An Empirical Study of Automated Vulnerability Localization with Large Language Models. - Shihao Zhou, Jinshan Pan, Jinglei Shi, Duosheng Chen, Lishen Qu, Jufeng Yang:
Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration. - Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang:
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. - Md Abrar Jahin, Md Sakib Hossain Shovon, Muhammad Firoz Mridha:
TRABSA: Interpretable Sentiment Analysis of Tweets using Attention-based BiLSTM and Twitter-RoBERTa. - Juze Zhang, Jingyan Zhang, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang:
HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment. - Seoyeon Bae, Yoon Kyung Lee, Jungcheol Lee, Jaeheon Kim, Haeseong Jeon, Seung-Hwan Lim, Byung-Cheol Kim, Sowon Hahn:
Enhancing Empathy in Virtual Reality: An Embodied Approach to Mindset Modulation. - Xingyu Ren, Jiankang Deng, Yuhao Cheng, Jia Guo, Chao Ma, Yichao Yan, Wenhan Zhu, Xiaokang Yang:
Monocular Identity-Conditioned Facial Reflectance Reconstruction. - Md Saroar Jahan, Mourad Oussalah, Djamila Romaissa Beddiar, Jhuma Kabir Mim, Nabil Arhab:
A Comprehensive Study on NLP Data Augmentation for Hate Speech Detection: Legacy Methods, BERT, and LLMs. - Yang Hu:
Leveraging Intelligent Recommender system as a first step resilience measure - A data-driven supply chain disruption response framework. - Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li:
ST-LLM: Large Language Models Are Effective Temporal Learners. - Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Model-Driven Deep Learning for Distributed Detection with Binary Quantization. - Alejandro García-Fernández, José Antonio Parejo, Antonio Ruiz-Cortés:
Pricing4SaaS: Towards a pricing model to drive the operation of SaaS. - Yibo Miao, Yu Lei, Feng Zhou, Zhijie Deng:
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification. - Lishen Qu, Shihao Zhou, Jinshan Pan, Jinglei Shi, Duosheng Chen, Jufeng Yang:
Harmonizing Light and Darkness: A Symphony of Prior-guided Data Synthesis and Adaptive Focus for Nighttime Flare Removal. - Arjun P. S, Andrew Melnik, Gora Chand Nandi:
Exploring Unseen Environments with Robots using Large Language and Vision Models through a Procedurally Generated 3D Scene Representation. - Xingrui Gu, Zhixuan Wang, Irisa Jin, Zekun Wu:
Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives. - Wenjun Lin, Yan Hu, Huazhu Fu, Mingming Yang, Chin-Boon Chng, Ryo Kawasaki, Cheekong Chui, Jiang Liu:
Instrument-tissue Interaction Detection Framework for Surgical Video Understanding. - Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin:
CLIP-driven Outliers Synthesis for few-shot OOD detection. - Pep Mulet:
Implicit-explicit schemes for compressible Cahn-Hilliard-Navier-Stokes equations. - Robin Magnet, Maks Ovsjanikov:
Memory-Scalable and Simplified Functional Map Learning. - Babette Bühler, Efe Bozkir, Hannah Deininger, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-Reported Attention During Video Lecture Learning. - Chenyi Zhang, Yihan Hu, Henghui Ding, Humphrey Shi, Yao Zhao, Yunchao Wei:
Learning Trimaps via Clicks for Image Matting. - Giuseppe Castagna, Loïc Peyrot:
Polymorphic Records for Dynamic Languages. - Yiyang Chen, Chao Ji, Yunrui Cai, Tong Yan, Bo Su:
Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey. - Ahmed R. Sadik, Bodo Urban:
Ontology in Holonic Cooperative Manufacturing: A Solution to Share and Exchange the Knowledge. - Wenqi Ge, Chao Tang, Hong Zhang:
Commonsense Scene Graph-based Target Localization for Object Search. - Ankit Satpute, Noah Gießing, André Greiner-Petter, Moritz Schubotz, Olaf Teschke, Akiko Aizawa, Bela Gipp:
Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange. - Takayuki Hara, Tatsuya Harada:
MaGRITTe: Manipulative and Generative 3D Realization from Image, Topview and Text. - Benjamin Berg, Benjamin Moseley, Weina Wang, Mor Harchol-Balter:
Asymptotically Optimal Scheduling of Multiple Parallelizable Job Classes. - Runmin Zhang, Zhu Yu, Zehua Sheng, Jiacheng Ying, Si-Yuan Cao, Shu-Jie Chen, Bailin Yang, Junwei Li, Hui-Liang Shen:
SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising. - Niels Dossche, Bert Abrath, Bart Coppens:
A Context-Sensitive, Outlier-Based Static Analysis to Find Kernel Race Conditions. - Linghan Cai, Shenjin Huang, Ye Zhang, Jinpeng Lu, Yongbing Zhang:
Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint. - Andrea Ruo, Lorenzo Sabattini, Valeria Villani:
CBF-Based STL Motion Planning for Social Navigation in Crowded Environment. - Andrea Ruo, Lorenzo Sabattini, Valeria Villani:
Follow me: an architecture for user identification and social navigation with a mobile robot. - Andrea Ruo, Lorenzo Sabattini, Valeria Villani:
CBF-Based Motion Planning for Socially Responsible Robot Navigation Guaranteeing STL Specification. - Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang:
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. - Duosheng Chen, Shihao Zhou, Jinshan Pan, Jinglei Shi, Lishen Qu, Jufeng Yang:
Spread Your Wings: A Radial Strip Transformer for Image Deblurring. - Chenghao Zhang, Gaofeng Meng, Bin Fan, Kun Tian, Zhaoxiang Zhang, Shiming Xiang, Chunhong Pan:
Reusable Architecture Growth for Continual Stereo Matching. - Zhenhua Liu, Tong Zhu, Jianxiang Xiang, Wenliang Chen:
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation. - Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong:
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario. - Gengming Zhang, Hao Cao, Kewei Hu, Yaoqiang Pan, Yuqin Deng, Hongjun Wang, Hanwen Kang:
Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning. - Guan-Cheng Zhou, Chen Chengb, Yan-zhou Chena:
Efficient Multi-branch Segmentation Network for Situation Awareness in Autonomous Navigation. - Bin Wang, Yan Zhang, Yan Ma, Yaohui Jin, Yanyan Xu:
SA-LSPL: Sequence-Aware Long- and Short- Term Preference Learning for next POI recommendation. - Yifei Liu, Qiong Cao, Yandong Wen, Huaiguang Jiang, Changxing Ding:
Towards Variable and Coordinated Holistic Co-Speech Motion Generation. - Ahmed R. Sadik, Bodo Urban, Omar Adel:
Worker Robot Cooperation and Integration into the Manufacturing Workcell via the Holonic Control Architecture. - Mohamed Camil Belhadjoudja, Miroslav Krstic, Mohamed Maghenem, Emmanuel Witrant:
Inverse Optimal Cardano-Lyapunov Feedback for PDEs with Convection. - Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, Zhu Han:
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection. - Pengzhi Li, Yikang Ding, Haohan Wang, Chengshuai Tang, Zhiheng Li:
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion. - Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, Sihyeon Park, Dain Kim, Taewhoo Lee, Chanwoong Yoon, Jiwoong Sohn, Donghee Choi, Jaewoo Kang:
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks. - Sanghyun Jo, Fei Pan, In-Jae Yu, Kyungsu Kim:
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation. - Anil Bayram Gogebakan, Enrico Magliano, Alessio Carpegna, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo:
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks. - Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim:
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias. - Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee:
Constrained Layout Generation with Factor Graphs. - Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan:
Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models. - Lucas M. Dutton, Christopher Kumar Anand, Robert F. Enenkel, Silvia Melitta Müller:
Inexactness and Correction of Floating-Point Reciprocal, Division and Square Root. - R. K. H. Smeets, K. Mitra, Iuliu Sorin Pop, S. Sonner:
Robust time-discretisation and linearisation schemes for singular and degenerate evolution systems modelling biofilm growth. - Tahiya Chowdhury, Ilan Mandel, Jorge Ortiz, Wendy Ju:
Designing a User-centric Framework for Information Quality Ranking of Large-scale Street View Images. - Rahul K. Gupta, Daniel K. Molzahn:
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks. - Manuele Veggi:
A First Ontological Model for the Description of the Art Market in the Semantic Web. - Marco Cognetta, Tatsuya Hiraoka, Naoaki Okazaki, Rico Sennrich, Yuval Pinter:
An Analysis of BPE Vocabulary Trimming in Neural Machine Translation. - Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo:
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. - Akash Ghosh, B. Venkata Sahith, Niloy Ganguly, Pawan Goyal, Mayank Singh:
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset. - Guimin Hu, Zhihong Zhu, Daniel Hershcovich, Hasti Seifi, Jiayuan Xie:
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause. - Xiangjun Peng:
Value, Representation, Information and Communication. - Jie Gao, Simret Araya Gebreegziabher, Kenny Tsu Wei Choo, Toby Jia-Jun Li, Simon Tangi Perrault, Thomas W. Malone:
A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration. - Marc Feger, Stefan Dietze:
TACO - Twitter Arguments from COnversations. - Geoffrey S. H. Cruttwell, Bruno Gavranovic, Neil Ghani, Paul W. Wilson, Fabio Zanasi:
Deep Learning with Parametric Lenses. - Xiaoyang Lyu, Yang-Tian Sun, Yi-Hua Huang, Xiuzhe Wu, Ziyi Yang, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi:
3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting. - Ayan Banerjee, Nityanand Mathur, Josep Lladós, Umapada Pal, Anjan Dutta:
SVGCraft: Beyond Single Object Text-to-SVG Synthesis with Comprehensive Canvas Layout. - Ishmael N. Amartey:
Chebyshev and The Fast Fourier Transform Methods for Signal Interpolation. - Chandra Kiran Reddy Evuru, Sreyan Ghosh, Sonal Kumar, Ramaneswaran S., Utkarsh Tyagi, Dinesh Manocha:
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP. - Jan Derbisz, Tomasz Krawczyk:
Circular-arc graphs and the Helly property. - Hongwei Yan, Liyuan Wang, Kaisheng Ma, Yi Zhong:
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation. - Elvin Hajizada, Balachandran Swaminathan, Yulia Sandamirskaya:
Continual Learning for Autonomous Robots: A Prototype-based Approach. - Sonal Kumar, Sreyan Ghosh, Sakshi Singh, Utkarsh Tyagi, Dinesh Manocha:
Do Vision-Language Models Understand Compound Nouns? - Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee:
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development. - Efstratios Chatzoglou, Vyron Kampourakis, Zisis Tsiatsikas, Georgios Karopoulos, Georgios Kambourakis:
Keep your memory dump shut: Unveiling data leaks in password managers. - Francisco Javier González-Castaño, Felipe J. Gil-Castiñeira, David Rodríguez-Pereira, José Ángel Regueiro-Janeiro, Silvia García-Méndez, David Candal-Ventureira:
Self-Corrective Sensor Fusion for Drone Positioning in Indoor Facilities. - Patrick Guidotti:
Extracting Manifold Information from Point Clouds. - Shengze Jin, Iro Armeni, Marc Pollefeys, Daniel Barath:
Multiway Point Cloud Mosaicking with Diffusion and Global Optimization. - Tsung Heng Wu, Md. Amiruzzaman, Ye Zhao, Deepshikha Bhati, Jing Yang:
Visualizing Routes with AI-Discovered Street-View Patterns. - Mauro Salazar, Sara Betancur Giraldo, Fabio Paparella, Leonardo Pedroso:
On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems. - Jaime González-González, Francisco de Arriba-Pérez, Silvia García-Méndez, Andrea Busto-Castiñeira, Francisco J. González-Castaño:
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators. - Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu:
Communication Efficient Distributed Training with Distributed Lion. - Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala:
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. - Mojtaba Bavandsavadkoohi, Erwan Gloaguen, Behzad Tokhmechi, Alireza Arab-Amiri, Bernard Giroux:
CCWSIM: An Efficient and Fast Wavelet-Based CCSIM for Categorical Characterization of Large-Scale. - Catie Cuan, Kyle Jeffrey, Kim Kleiven, Adrian Li, Emre Fisher, Matt Harrison, Benjie Holson, Allison M. Okamura, Matthew Bennice:
Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment. - Songqun Gao, Wendi Ding, Qinyuan Ren, Ben M. Chen:
UDE-based Dynamic Motion Force Control of Mobile Manipulators. - Ilaria Castellani, Paola Giannini:
Towards a Semantic Characterisation of Global Type Well-formedness. 11-21 - Alireza Barekatain, Hamed Rahimi Nohooji, Holger Voos:
Synthetic Dataset Generation and Learning From Demonstration Applied to Industrial Manipulation. - Tenghao Huang, Dongwon Jung, Muhao Chen:
Planning and Editing What You Retrieve for Enhanced Tool Learning. - Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan:
Thin-Shell Object Manipulations With Differentiable Physics Simulations. - Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman:
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs. - Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang:
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks. - (Withdrawn) Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection.
- Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle:
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. - Xiaopeng Xie, Ming Yan, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou:
Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning. - Zhenjiang Mao, Siqi Dai, Yuang Geng, Ivan Ruchkin:
Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models. - Hannah Chen, Yangfeng Ji, David Evans:
Addressing Both Statistical and Causal Gender Fairness in NLP Models. - Matthew West, Colin G. Magdamo, Lily Cheng, Yingnan He, Sudeshna Das:
Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias. - Heqiang Wang, Jieming Bian, Lei Wang:
Computation and Communication Efficient Lightweighting Vertical Federated Learning. - Yang Miao, Francis Engelmann, Olga Vysotska, Federico Tombari, Marc Pollefeys, Dániel Béla Baráth:
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs. - Md Hassanuzzaman, Nurul Akhtar Hasan, Mohammad Abdullah-Al-Mamun, Khawza I. Ahmed, Ahsan H. Khandoker, Raqibul Mostafa:
Classification of Short Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network. - Shanglun Feng, Florian Tramèr:
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models. - Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto:
Linguistic Calibration of Language Models. - Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang:
DE-HNN: An effective neural model for Circuit Netlist representation. - Leslie D. McIntosh, Cynthia Hudson-Vitale:
Forensic Scientometrics - An emerging discipline to protect the scholarly record. - Jakub Piskorski, Michal Marcinczuk, Roman Yangarber:
Cross-lingual Named Entity Corpus for Slavic Languages. - Aryo Pradipta Gema, Giwon Hong, Pasquale Minervini, Luke Daines, Beatrice Alex:
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4. - Akash Sengupta, Thiemo Alldieck, Nikos Kolotouros, Enric Corona, Andrei Zanfir, Cristian Sminchisescu:
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans. - Shu Yang, Jiayuan Su, Han Jiang, Mengdi Li, Keyuan Cheng, Muhammad Asif Ali, Lijie Hu, Di Wang:
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs. - Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Xuhai Orson Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Colin A. Depp, Nicholas C. Jacobson, Mary Czerwinski, Eric L. Granholm, Andrew T. Campbell:
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App. - Ritesh Sarkhel, Xiaoqi Ren, Lauro Beltrão Costa, Guolong Su, Vincent Perot, Yanan Xie, Emmanouil Koukoumidis, Arnab Nandi:
Noise-Aware Training of Layout-Aware Language Models. - Muhammad Asif Ali, Zhengping Li, Shu Yang, Keyuan Cheng, Yang Cao, Tianhao Huang, Lijie Hu, Lu Yu, Di Wang:
PROMPT-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression. - Vaibhav Vavilala, Rahul Vasanth, David A. Forsyth:
Denoising Monte Carlo Renders With Diffusion Models. - Keyuan Cheng, Gang Lin, Haoyang Fei, Yuxuan Zhai, Lu Yu, Muhammad Asif Ali, Lijie Hu, Di Wang:
Multi-hop Question Answering under Temporal Knowledge Editing. - Nathaniel Steele Dennler, Mina J. Kian, Stefanos Nikolaidis, Maja J. Mataric:
Designing Robot Identity: The Role of Voice, Clothing, and Task on Robot Gender Perception. - Víctor Gallego:
Configurable Safety Tuning of Language Models with Synthetic Preference Data. - Keller Jordan:
94% on CIFAR-10 in 3.29 Seconds on a Single GPU. - Ondrej Draganov, Steven Skiena:
The Shape of Word Embeddings: Recognizing Language Phylogenies through Topological Data Analysis. - Minglei Yang, Pengjun Wang, Ming Fan, Dan Lu, Yanzhao Cao, Guannan Zhang:
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation. - Diwei Sheng, Anbang Yang, John-Ross Rizzo, Chen Feng:
NYC-Indoor-VPR: A Long-Term Indoor Visual Place Recognition Dataset with Semi-Automatic Annotation. - Wei Cui, Wei Yu:
Transfer Learning with Reconstruction Loss. - Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu:
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. - Emre Karabulut, Arsalan Ali Malik, Amro Awad, Aydin Aysu:
THEMIS: Time, Heterogeneity, and Energy Minded Scheduling for Fair Multi-Tenant Use in FPGAs. - Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais:
DailyMAE: Towards Pretraining Masked Autoencoders in One Day. - Yang Shao, Toshie Yaguchi, Toshiaki Tanigaki:
Denoising Low-dose Images Using Deep Learning of Time Series Images. - Zebang Cheng, Fuqiang Niu, Yuxiang Lin, Zhi-Qi Cheng, Bowen Zhang, Xiaojiang Peng:
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models. - Qiankun Liu, Yuqi Jiang, Zhentao Tan, Dongdong Chen, Ying Fu, Qi Chu, Gang Hua, Nenghai Yu:
Transformer based Pluralistic Image Completion with Reduced Information Loss. - Al Jaber Mahmud, Amir Hossain Raj, Duc M. Nguyen, Xuesu Xiao, Xuan Wang:
Human-Robot Co-Transportation with Human Uncertainty-Aware MPC and Pose Optimization. - Kyoungtae Ji, Sangjae Bae, Nan Li, Kyoungseok Han:
Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios. - Yao Ni, Piotr Koniusz:
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization. - Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu:
Minimum-Norm Interpolation Under Covariate Shift. - Yuxiao Liu, Zhe Li, Yebin Liu, Haoqian Wang:
TexVocab: Texture Vocabulary-conditioned Human Avatars. - Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller:
Creating synthetic energy meter data using conditional diffusion and building metadata. - Anoop Kumar, Suresh Dodda, Navin Kamuni, Venkata Sai Mahesh Vuppalapati:
The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions. - Farbod Ekbatani, Rad Niazadeh, Pranav Nuti, Jan Vondrák:
Prophet Inequalities with Cancellation Costs. - Yuji Saikai:
Generative weather for improved crop model simulations. - Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs. - Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover:
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. - Haoxuan Qu, Yujun Cai, Jun Liu:
LLMs are Good Action Recognizers. - Anurag Gupta, Brian M. Sadler:
Eclipse Attack Detection on a Blockchain Network as a Non-Parametric Change Detection Problem. - Satoko Iida, Ryota Yasudo:
Solving the QAP by Two-Stage Graph Pointer Networks and Reinforcement Learning. - Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu:
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. - Tongtong Zhang, Xian Wei, Yuanxiang Li:
Deep Extrinsic Manifold Representation for Vision Tasks. - Mubariz Zaffar, Liangliang Nan, Julian F. P. Kooij:
On the Estimation of Image-matching Uncertainty in Visual Place Recognition. - Jiading Li, Zhiyu Zhu, Jinhui Hou, Junhui Hou, Jinjian Wu:
Denoising Distillation Makes Event-Frame Transformers as Accurate Gaze Trackers. - Hao Gong, Michel Desvignes:
Comparison of Methods in Skin Pigment Decomposition. - Xuewen Zhang, Minghao Han, Xunyuan Yin:
Reduced-order Koopman modeling and predictive control of nonlinear processes. - Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. - Sanghyeon Nam, Hyejin Lee, Youngki Kim, Kyoung Hyun Kwak, Kyoungseok Han:
Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration. - Changnan Xiao, Bing Liu:
A Theory for Length Generalization in Learning to Reason. - Junuk Cha, Jihyeon Kim, Jae Shin Yoon, Seungryul Baek:
Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction. - Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao:
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. - Saied Alshahrani, Hesham Haroon, Ali Elfilali, Mariama Njie, Jeanna Matthews:
Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition. - Yiqing Xie, Alex Xie, Divyanshu Sheth, Pengfei Liu, Daniel Fried, Carolyn P. Rosé:
CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks. - Xiang Li, Fan Bu, Ambuj Mehrish, Yingting Li, Jiale Han, Bo Cheng, Soujanya Poria:
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models. - Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing:
ParaICL: Towards Robust Parallel In-Context Learning. - Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee:
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling. - Yue Zhao, Yuxuan Li, Chenang Liu, Yinan Wang:
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems. - Yuki Hou, Haruki Tamoto, Homei Miyashita:
"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents. - PoTsang B. Huang, Muhammad Rizwan, Mehboob Ali:
Automated Bi-Fold Weighted Ensemble Algorithms and its Application to Brain Tumor Detection and Classification. - Fan Bai, Yuxin Du, Tiejun Huang, Max Qinghu Meng, Bo Zhao:
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models. - Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano:
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). - Aloïs Rosset, Maaike Zwart, Helle Hvid Hansen, Jörg Endrullis:
Correspondence between Composite Theories and Distributive Laws. - Ao Lv, Yongzhong Huang, Guige Ouyang, Yue Chen, Haoran Xie:
RLGNet: Repeating-Local-Global History Network for Temporal Knowledge Graph Reasoning. - Yitian Tao, Liyan Ma, Jing Yu, Han Zhang:
Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation. - (Withdrawn) Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing.
- T. Y. S. S. Santosh, Kristina Kaiser, Matthias Grabmair:
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval. - Shunpeng Yang, Zejun Hong, Sen Li, Patrick M. Wensing, Wei Zhang, Hua Chen:
Task-Space Riccati Feedback based Whole Body Control for Underactuated Legged Locomotion. - Jacek Kaluzny, Yannik Schreckenberg, Karol Cyganik, Peter Annighöfer, Sören Pirk, Dominik L. Michels, Mikolaj Cieslak, Farhah Assaad-Gerbert, Bedrich Benes, Wojciech Palubicki:
LAESI: Leaf Area Estimation with Synthetic Imagery. - T. Y. S. S. Santosh, Mahmoud Aly, Matthias Grabmair:
LexAbSumm: Aspect-based Summarization of Legal Decisions. - T. Y. S. S. Santosh, Elvin Quero Hernandez, Matthias Grabmair:
Query-driven Relevant Paragraph Extraction from Legal Judgments. - T. Y. S. S. Santosh, Rashid Gustav Haddad, Matthias Grabmair:
ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights. - Aryan Garg:
Parameter and Data-Efficient Spectral StyleDCGAN. - Jintao Wang, Binggui Zhou, Chengzhi Ma, Shiqi Gong, Guanghua Yang, Shaodan Ma:
Robust Beamforming Design and Antenna Selection for Dynamic HRIS-aided Massive MIMO Systems. - Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin:
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories. - Nicola Fabiano:
AI Act and Large Language Models (LLMs): When critical issues and privacy impact require human and ethical oversight. - Masayuki Tezuka, Keisuke Tanaka:
1-out-of-n Oblivious Signatures: Security Revisited and a Generic Construction with an Efficient Communication Cost. - Kun Ding, Haojian Zhang, Qiang Yu, Ying Wang, Shiming Xiang, Chunhong Pan:
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning. - Xiao Liu, Xixuan Song, Yuxiao Dong, Jie Tang:
Extensive Self-Contrast Enables Feedback-Free Language Model Alignment. - Chi-Min Chan, Chunpu Xu, Ruibin Yuan, Hongyin Luo, Wei Xue, Yike Guo, Jie Fu:
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. - Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam:
Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining. - Ruopeng Xu, Zhaohui Yang, Zhouxiang Zhao, Qianqian Yang, Zhaoyang Zhang:
Resource Allocation for Green Probabilistic Semantic Communication with Rate Splitting. - Awadhesh Kumar Shukla, Sachin Pathak, Om Prakash Pandey, Vipul Mishra, Ashish Kumar Upadhyay:
On (θ, Θ)-cyclic codes and their applications in constructing QECCs. - Nathan Cornille, Marie-Francine Moens, Florian Mai:
Learning to Plan for Language Modeling from Unlabeled Data. - Aarush Sinha:
A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours. - Deborah N. Jakobi, Daniel G. Krakowczyk, Lena A. Jäger:
Reporting Eye-Tracking Data Quality: Towards a New Standard. - Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. - Shi Meng, Bin Tian, Xiaotong Zhang, Shuangying Qi, Caiji Zhang, Qiang Zhang:
OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching. - Thomas Nakken Larsen, Eirik Runde Barlaug, Adil Rasheed:
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance. - Jiamin Wang, Jian Liu, Feng Xiao, Ning Xi, Yuanshi Zheng:
Scalable second-order consensus of hierarchical groups. - Minyoung Oh, Duhyun Kim, Jae-Young Sim:
Domain Generalizable Person Search Using Unreal Dataset. - Ruopeng Xu, Yixuan Chen, Jiawen Kang, Minrui Xu, Zhaohui Yang, Chongwen Huang, Dusit Niyato:
Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization. - Lizhi Lin, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han, Haonan Li:
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models. - Qingrui Fan, Yu Zhang, Jiamin Li, Dongming Wang, Hongbiao Zhang, Xiaohu You:
Network-Assisted Full-Duplex Cell-Free mmWave Networks: Hybrid MIMO Processing and Multi-Agent DRL-Based Power Allocation. - Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang:
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. - Samuel Aleksander Sánchez Olszewski:
Designing Human-AI Systems: Anthropomorphism and Framing Bias on Human-AI Collaboration. - Taekyung Ki, Dongchan Min, Gyeongsu Chae:
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation. - Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin:
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. - Dongsheng Zuo, Jiadong Zhu, Yikang Ouyang, Yuzhe Ma:
RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning. - Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng:
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. - Krzysztof Gogol, Yaron Velner, Benjamin Kraner, Claudio J. Tessone:
SoK: Liquid Staking Tokens (LSTs). - Abdul Aziz A. B, Aindri Bajpai:
Attire-Based Anomaly Detection in Restricted Areas Using YOLOv8 for Enhanced CCTV Security. - Haojie Mu, Burhan Ul Tayyab, Nicholas Chua:
SpiralMLP: A Lightweight Vision MLP Architecture. - Xiaorui Huang, Gen Luo, Chaoyang Zhu, Bo Tong, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji:
Deep Instruction Tuning for Segment Anything Model. - Yibo Wang, Jiang Zhao:
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration. - Yuhan Zhu, Guozhen Zhang, Jing Tan, Gangshan Wu, Limin Wang:
Dual DETRs for Multi-Label Temporal Action Detection. - Haibo Li:
Characterizing GSVD by singular value expansion of linear operators and its computation. - Shujie Hu, Long Zhou, Shujie Liu, Sanyuan Chen, Hongkun Hao, Jing Pan, Xunying Liu, Jinyu Li, Sunit Sivasankaran, Linquan Liu, Furu Wei:
WavLLM: Towards Robust and Adaptive Speech Large Language Model. - Sumit Soman, Sujoy Roychowdhury:
Observations on Building RAG Systems for Technical Documents. - Jihua Peng, Yanghong Zhou, P. Y. Mok:
KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation. - Chunyang Bi, Xin Luo, Sheng Shen, Mengxi Zhang, Huanjing Yue, Jingyu Yang:
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion. - Santosh Kumar Chaudhary, Nitin Gupta, Achintya Roy:
On cumulative and relative cumulative past information generating function. - Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair Carmon:
Accelerated Parameter-Free Stochastic Optimization. - Dafei Qiu, Shan Xiong, Jiajin Yi, Jialin Peng:
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point Annotation. - Youngseo Cho, In Hee Kwak, Dohyeon Kim, Jinhee Na, Hanjoo Sung, Jeongjae Lee, Young Eun Kim, Hyeo-il Ma:
Statistical Analysis by Semiparametric Additive Regression and LSTM-FCN Based Hierarchical Classification for Computer Vision Quantification of Parkinsonian Bradykinesia. - Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. - Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen:
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures. - Wenxiao Cai, Xinyue Lei, Xinyu He, Junming Leo Chen, Yangang Wang:
Knowledge NeRF: Few-shot Novel View Synthesis for Dynamic Articulated Objects. - Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon:
LLM meets Vision-Language Models for Zero-Shot One-Class Classification. - Dongyoung Choi, Hyeonjoong Jang, Min H. Kim:
OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos. - Hakyeong Kim, Andreas Meuleman, Hyeonjoong Jang, James Tompkin, Min H. Kim:
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees. - Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov:
Weak-to-Strong 3D Object Detection with X-Ray Distillation. - Yang Luo, Zhineng Chen, Peng Zhou, Zuxuan Wu, Xieping Gao, Yu-Gang Jiang:
Learning to Rank Patches for Unbiased Image Redundancy Reduction. - Dawei Zhu, Wenhao Wu, Yifan Song, Fangwei Zhu, Ziqiang Cao, Sujian Li:
CoUDA: Coherence Evaluation via Unified Data Augmentation. - Zeev Nutov:
Improved approximation ratio for covering pliable set families. - Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. - (Withdrawn) Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning.
- Steven Bilaj, Sofien Dhouib, Setareh Maghsudi:
Meta Learning in Bandits within Shared Affine Subspaces. - Meisam Kabiri, Claudio Cimarelli, Hriday Bavle, José Luis Sánchez-López, Holger Voos:
Graph-Based vs. Error State Kalman Filter-Based Fusion Of 5G And Inertial Data For MAV Indoor Pose Estimation. - Haolin Qin, Tingfa Xu, Peifu Liu, Jingxuan Xu, Jianan Li:
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection. - Abdallah Alshantti, Adil Rasheed, Frank Westad:
Privacy Re-identification Attacks on Tabular GANs. - Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. - Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek:
Training-Free Semantic Segmentation via LLM-Supervision. - Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Kamran Razavi, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, Lin Wang:
Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. - Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin R. Nair, Moloud Abdar, Biplab Banerjee:
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. - Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen:
Survey of Computerized Adaptive Testing: A Machine Learning Perspective. - Mingyuan Yao, Yukang Huo, Yang Ran, Qingbin Tian, Ruifeng Wang, Haihua Wang:
Neural Radiance Field-based Visual Rendering: A Comprehensive Review. - Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie:
End-to-End Autonomous Driving through V2X Cooperation. - Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou:
DRCT: Saving Image Super-resolution away from Information Bottleneck. - Jia Guo, Haonan Han, Shuai Lu, Weihang Zhang, Huiqi Li:
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment. - Michael Hassid, Tal Remez, Jonas Gehring, Roy Schwartz, Yossi Adi:
The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. - Ian Porada, Xiyuan Zou, Jackie Chi Kit Cheung:
A Controlled Reevaluation of Coreference Resolution Models. - Luis Morales-Navarro, Yasmin B. Kafai:
Investigating Youths' Everyday Understanding of Machine Learning Applications: a Knowledge-in-Pieces Perspective. - Minghui Chen, Zichao Meng, Yanping Liu, Longbo Luo, Ye Guo, Kang Wang:
Nonparametric End-to-End Probabilistic Forecasting of Distributed Generation Outputs Considering Missing Data Imputation. - Katy Blumer, Kate Donahue, Katie Fritz, Kate Ivanovich, Katherine Lee, Katie Luo, Cathy Meng, Katie Van Koevering:
An Abundance of Katherines: The Game Theory of Baby Naming. - Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil:
Smooth Information Gathering in Two-Player Noncooperative Games. - Giuseppe G. A. Celano:
Opera Graeca Adnotata: Building a 34M+ Token Multilayer Corpus for Ancient Greek. - Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer:
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. - Yi Xu, Yun Fu:
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction. - Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung:
Mining Weighted Sequential Patterns in Incremental Uncertain Databases. - Venelin Kovatchev, Matthew Lease:
Benchmark Transparency: Measuring the Impact of Data on Evaluation. - Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West:
Can Language Models Recognize Convincing Arguments? - Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai:
On the True Distribution Approximation of Minimum Bayes-Risk Decoding. - Cristina Cornelio, Mohammed Diab:
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery. - Josip Jukic, Jan Snajder:
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models. - Cheng Wen, Jialun Cao, Jie Su, Zhiwu Xu, Shengchao Qin, Mengda He, Haokun Li, Shing-Chi Cheung, Cong Tian:
Enchanting Program Specification Synthesis by Large Language Models using Static Analysis and Program Verification. - Puneet Mehrotra, Vaastav Anand, Daniel W. Margo, Milad Rezaei Hajidehi, Margo I. Seltzer:
SoK: The Faults in our Graph Benchmarks. - Samuel B. Hopkins, Anqi Li:
Adversarially-Robust Inference on Trees via Belief Propagation. - Siming He, Yuezhan Tao, Igor Spasojevic, Vijay Kumar, Pratik Chaudhari:
An Active Perception Game for Robust Autonomous Exploration. - Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar:
SOAR: Improved Indexing for Approximate Nearest Neighbor Search. - Maarten Grachten:
Measuring audio prompt adherence with distribution-based embedding distances. - Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey:
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. - Jhon Lopez, Carlos Hinojosa, Henry Arguello, Bernard Ghanem:
Privacy-preserving Optics for Enhancing Protection in Face De-identification. - Mohamed Elsayed, A. Rupam Mahmood:
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning. - Eric Guiffo Kaigom:
Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0. - Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu, Nilanjan Ray, Dana Cobzas:
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning. - Gus Henry Smith, Zachary D. Sisco, Thanawat Techaumnuaiwit, Jingtao Xia, Vishal Canumalla, Andrew Cheung, Zachary Tatlock, Chandrakana Nandi, Jonathan Balkind:
There and Back Again: A Netlist's Tale with Much Egraphin'. - Kahyun Choi, Minje Kim:
A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between? - Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
Rehearsal-Free Modular and Compositional Continual Learning for Language Models. - Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim:
Personalized Neural Speech Codec. - Lourens Touwen, Doina Bucur, Remco van der Hofstad, Alessandro Garavaglia, Nelly Litvak:
Learning the mechanisms of network growth. - Zhi Ma, Cheng Wen, Jie Su, Ming Zhao, Bin Yu, Xu Lu, Cong Tian:
Towards Practical Requirement Analysis and Verification: A Case Study on Software IP Components in Aerospace Embedded Systems. - Bibek Poudel, Weizi Li:
CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control. - Eric Guiffo Kaigom:
Metarobotics for Industry and Society: Vision, Technologies, and Opportunities. - Uladzislau Yorsh, Martin Holeña, Ondrej Bojar, David Herel:
On Difficulties of Attention Factorization through Shared Memory. - Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen:
R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding. - Youssef Mansour, Reinhard Heckel:
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration. - Daksh Dobhal, Jayesh Nagpal, Rushang Karia, Pulkit Verma, Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava:
Using Explainable AI and Hierarchical Planning for Outreach with Robots. - Marta Lazzaretti, Claudio Estatico, Alejandro Melero Carrillo, Luca Calatroni:
Off-the-grid regularisation for Poisson inverse problems. - Yuting Fang, Lianna Hambardzumyan, Nathaniel Harms, Pooya Hatami:
No Complete Problem for Constant-Cost Randomized Communication. - Aditya Singh, Zeyuan Feng, Somil Bansal:
Imposing Exact Safety Specifications in Neural Reachable Tubes. - Haoxi Ran, Vitor Guizilini, Yue Wang:
Towards Realistic Scene Generation with LiDAR Diffusion Models. - Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. - Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J. Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen:
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. - Zhuotong Chen, Zihu Wang, Yifan Yang, Qianxiao Li, Zheng Zhang:
PID Control-Based Self-Healing to Improve the Robustness of Large Language Models. - Anneliese Brei, Chao Zhao, Snigdha Chaturvedi:
Returning to the Start: Generating Narratives with Related Endpoints. - Hojune Kim, Hyesu Jang, Ayoung Kim:
2D Ego-Motion with Yaw Estimation using Only mmWave Radars via Two-Way weighted ICP. - Frederick V. Qiu, S. Matthew Weinberg:
Settling the Communication Complexity of VCG-based Mechanisms for all Approximation Guarantees. - Guoqiang Liang, Kanghao Chen, Hangyu Li, Yunfan Lu, Lin Wang:
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach. - Zhonghao Lyu, Yuchen Li, Guangxu Zhu, Jie Xu, H. Vincent Poor, Shuguang Cui:
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm. - Yibin Ye, Xichao Teng, Shuo Chen, Yijie Bian, Tao Tan, Zhang Li:
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching. - Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip:
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. - Kartik Gupta, Rahul Vippala, Sahima Srivastava:
Transfer Learning with Point Transformers. - Anas Al-Lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar:
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. - Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Predictive Performance Comparison of Decision Policies Under Confounding. - Tao Hu, Qingsen Yan, Yuankai Qi, Yanning Zhang:
Generating Content for HDR Deghosting from Frequency View. - Christoforos Somarakis, Raman Goyal, Erfaun Noorani, Shantanu Rane:
Delay-Induced Watermarking for Detection of Replay Attacks in Linear Systems. - Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim:
Prompt Learning via Meta-Regularization. - Hieu Nguyen, Cong-Hoang Ta, Phuong-Thuy Le-Nguyen, Minh-Triet Tran, Trung-Nghia Le:
Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments. - Pignge Hu, Xiaoteng Zhang, Mengmeng Li, Yingjie Zhu, Li Shi:
TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit. - Injune Hwang, Kyogu Lee:
Removing Speaker Information from Speech Representation using Variable-Length Soft Pooling. - Shuvozit Ghose, Yang Wang:
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification. - Wilson Wu, John X. Morris, Lionel Levine:
Do language models plan ahead for future tokens? - Giung Nam, Byeongho Heo, Juho Lee:
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. - Lung-Chuan Chen, Zong-Ru Li:
Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding. - Daisuke Mashima, Muhammad M. Roomi, Bennet Ng, Zbigniew Kalbarczyk, S. M. Suhail Hussain, Ee-Chien Chang:
Towards Automated Generation of Smart Grid Cyber Range for Cybersecurity Experiments and Training. - Xusheng Zhu, Qingqing Wu, Wen Chen:
Performance Evaluation of RIS-Assisted Spatial Modulation for Downlink Transmission. - Jie Long Lee, Chen Li, Gim Hee Lee:
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF. - Fenggen Yu, Yiming Qian, Xu Zhang, Francisca Gil-Ureta, Brian Jackson, Eric P. Bennett, Hao Zhang:
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly. - Xiaolu Liu, Song Wang, Wentong Li, Ruizi Yang, Junbo Chen, Jianke Zhu:
MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction. - Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang:
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. - Jeeyung Kim, Ze Wang, Qiang Qiu:
Model-Agnostic Human Preference Inversion in Diffusion Models. - Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak, Simon Tavener:
Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity. - Ethan King, James Kotary, Ferdinando Fioretto, Ján Drgona:
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming. - Jing Li, Quanxue Gao, Cheng Deng, Qianqian Wang, Ming Yang:
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization. - Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang:
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. - Xiangming Xi, Feng Gao, Jun Xu, Fangtai Guo, Tianlei Jin:
Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism. - Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. - Moritaka Onitsuka, Manabu Nishiura, Kento Kawaharazuka, Kei Tsuzuki, Yasunori Toshimitsu, Yusuke Omura, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba:
Development of Musculoskeletal Legs with Planar Interskeletal Structures to Realize Human Comparable Moving Function. - Ronghan Chen, Yang Cong, Yu Ren:
Marrying NeRF with Feature Matching for One-step Pose Estimation. - Kento Kawaharazuka, Kei Okada, Masayuki Inaba:
Realization of Seated Walk by a Musculoskeletal Humanoid with Buttock-Contact Sensors From Human Constrained Teaching. - Kailu Wu, Xing Liu, Feiyu Bian, Yizhai Zhang, Panfeng Huang:
An Integrating Comprehensive Trajectory Prediction with Risk Potential Field Method for Autonomous Driving. - Houssem Ben Braiek, Foutse Khomh:
Machine Learning Robustness: A Primer. - Tien-Yu Chang, Hao Dai, Vincent S. Tseng:
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series. - Xiaoyan Qu, Xiangfeng Meng:
TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text. - Jian Jiao, Yu Dai, Hefei Mei, Heqian Qiu, Chuanyang Gong, Shiyuan Tang, Xinpeng Hao, Hongliang Li:
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning. - Mohamed Abuella, Hadi Fanaee Tork, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani:
Data Analytics for Improving Energy Efficiency in Short Sea Shipping. - Chenxi Shi, Penghao Liang, Yichao Wu, Tong Zhan, Zhengyu Jin:
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems. - Shenshen Luan, Luyuan Wang, Yepeng Liu, Ninghan Sun, Ran Zhang:
A Fast Percolation-Dijkstra Routing Method for Mega-Constellation Backbone Network. - Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, Xuming He:
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models. - Rongjie Li, Yu Wu, Xuming He:
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning. - Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao:
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction. - Yuanhao Zeng, Min Wang, Yihang Wang, Yingxia Shao:
Token-Efficient Leverage Learning in Large Language Models. - Tianyu Huang, Liangzu Peng, René Vidal, Yun-Hui Liu:
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals. - Heemin Yang, Jaesung Rim, Seungyong Lee, Seung-Hwan Baek, Sunghyun Cho:
Gyro-based Neural Single Image Deblurring. - Beomyoung Kim, Donghyun Kim, Sung Ju Hwang:
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation. - Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang:
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. - Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. - Lisong C. Sun, Neel P. Bhatt, Jonathan C. Liu, Zhiwen Fan, Zhangyang Wang, Todd E. Humphreys, Ufuk Topcu:
MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements. - Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang:
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks. - Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu:
LLMs are Good Sign Language Translators. - Jaehyeon Moon, Dohyung Kim, Junyong Cheon, Bumsub Ham:
Instance-Aware Group Quantization for Vision Transformers. - Yuemei Xu, Ling Hu, Jiayi Zhao, Zihan Qiu, Yuqi Ye, Hanwen Gu:
A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias. - Ji-Eun Han, Jun-Seok Koh, Hyeon-Tae Seo, Du-Seong Chang, Kyung-Ah Sohn:
PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models. - Yunsong Wang, Hanlin Chen, Gim Hee Lee:
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields. - Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong:
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. - Sheikh Musa Kaleem, Tufail Rouf, Gousia Habib, Tausifa Jan Saleem, Brejesh Lall:
A Comprehensive Review of Knowledge Distillation in Computer Vision. - Zhonghao Shi, Ellen Landrum, Amy O'Connell, Mina J. Kian, Leticia Pinto-Alva, Kaleen Shrestha, Xiaoyuan Zhu, Maja J. Mataric:
How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey. - Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao:
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. - Jihoo Kim, Wonho Song, Dahyun Kim, Yunsu Kim, Yungi Kim, Chanjun Park:
Evalverse: Unified and Accessible Library for Large Language Model Evaluation. - Gousia Habib, Ishfaq Ahmed Malik, Jameel Ahmad, Imtiaz Ahmed, Shaima Qureshi:
Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification. - Haitao Li, You Chen, Zhekai Ge, Qingyao Ai, Yiqun Liu, Quan Zhou, Shuai Huo:
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval. - Gousia Habib, Shaima Qureshi, Malik Ishfaq:
Harnessing The Power of Attention For Patch-Based Biomedical Image Classification. - Renhua Gu, Xiangfeng Meng:
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text. - Yichi Zhang, Yuchen Zhang, Lipeng Zhu, Sa Xiao, Wanbin Tang, Yonina C. Eldar, Rui Zhang:
Movable Antenna-Aided Hybrid Beamforming for Multi-User Communications. - Ling Wang, Runfa Chen, Yikai Wang, Fuchun Sun, Xinzhou Wang, Sun Kai, Guangyuan Fu, Jianwei Zhang, Wenbing Huang:
Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence. - David Persson, Nicolas Boullé, Daniel Kressner:
Randomized Nyström approximation of non-negative self-adjoint operators. - Bharath Keshavamurthy, Nicolò Michelusi:
Orchestrating UAVs for Prioritized Data Harvesting: A Cross-Layer Optimization Perspective. - Haokai Hong, Wanyu Lin, Kay Chen Tan:
Diffusion-Driven Domain Adaptation for Generating 3D Molecules. - Renxiang Guan, Zihao Li, Chujia Song, Guo Yu, Xianju Li, Ruyi Feng:
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images. - Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao:
GTS: GPU-based Tree Index for Fast Similarity Search. - Xiupeng Chen, Jacquelien M. A. Scherpen, Nima Monshizadeh:
Optimal Bidding Strategies in Network-Constrained Demand Response: A Distributed Aggregative Game Theoretic Approach. - Fang Liu, Yang Liu, Lin Shi, Houkun Huang, Ruifeng Wang, Zhen Yang, Li Zhang:
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation. - Yijin Choi, Jongkyung Shin, Chiehyeon Lim:
Cross-channel Recommendation for Multi-channel Retail. - Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao:
VideoDistill: Language-aware Vision Distillation for Video Question Answering. - Hyeongjun Kwon, Jinhyun Jang, Jin Kim, Kwonyoung Kim, Kwanghoon Sohn:
Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping. - Hang Zhou, Chenglong Wang, Yimin Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Prior Constraints-based Reward Model Training for Aligning Large Language Models. - Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen:
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation. - Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma:
CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. - Li Yang, Zhipeng Luo, Shiming Zhang, Fei Teng, Tianrui Li:
Continual Learning for Smart City: A Survey. - Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Zixiang Zhao, Mang Wang, Aojun Lu, Tao Feng:
Make Continual Learning Stronger via C-Flat. - Ruowen Zhao, Zhengyi Wang, Yikai Wang, Zihan Zhou, Jun Zhu:
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes. - Xin'ao Feng, Yaohua Sun, Mugen Peng:
Distributed Satellite-Terrestrial Cooperative Routing Strategy Based on Minimum Hop-Count Analysis in Mega LEO Satellite Constellation. - Hao Chen, Yuqi Hou, Chenyuan Qu, Irene Testini, Xiaohan Hong, Jianbo Jiao:
360+x: A Panoptic Multi-modal Scene Understanding Dataset. - Weicong Qin, Zhongxiang Sun:
Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey. - Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. - Maximilian Weiherer, Andreea Dogaru, Shreya Kapoor, Hannah Schieber, Bernhard Egger:
AMOR: Ambiguous Authorship Order. - Jaejung Seol, Seojun Kim, Jaejun Yoo:
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation. - Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, Lili Qiu:
LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation. - Wei Liu, Stephen Wan, Michael Strube:
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? - Yu Chen, Hongwei Lin:
Extraction of Singular Patterns from a Vector Field via Persistent Path Homology. - Shaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, Yiqun Liu:
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation. - Joanito Agili Lopo, Radius Tanone:
Constructing and Expanding Low-Resource and Underrepresented Parallel Datasets for Indonesian Local Languages. - Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction using Relevance Judgments Generated by Large Language Models. - Bo Zou, Shaofeng Wang, Hao Liu, Gaoyue Sun, Yajie Wang, Feifei Zuo, Chengbin Quan, Youjian Zhao:
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge. - Luca Zanella, Willi Menapace, Massimiliano Mancini, Yiming Wang, Elisa Ricci:
Harnessing Large Language Models for Training-free Video Anomaly Detection. - ChaeHun Park, Minseok Choi, Dohyun Lee, Jaegul Choo:
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison. - Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng:
Source-Aware Training Enables Knowledge Attribution in Language Models. - Wei Liu, Jian-Jia Chen, Yongjie Yang:
On the Complexity of Minimizing Energy Consumption of Partitioning DAG Tasks. - Zeeshan Rasheed, Muhammad Waseem, Kari Systä, Pekka Abrahamsson:
Large Language Model Evaluation Via Multi AI Agents: Preliminary results. - Liu Yang, Huiyu Duan, Long Teng, Yucheng Zhu, Xiaohong Liu, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Patrick Le Callet:
AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images. - Kotaro Aono, Ryohei Sasano, Koichi Takeda:
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification. - Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang:
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation. - Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao, Olakunle Olayinka, Hemlata Sharma:
Higher education assessment practice in the era of generative AI tools. - Matous Eibich, Shivay Nagpal, Alexander Fred-Ojala:
ARAGOG: Advanced RAG Output Grading. - Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin:
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. - Florian Hartmann, Duc-Hieu Tran, Peter Kairouz, Victor Carbune, Blaise Agüera y Arcas:
Can LLMs get help from other LLMs without revealing private information? - Haofeng Liu, Chenshu Xu, Yifei Yang, Lihua Zeng, Shengfeng He:
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation. - Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Jun Liu:
Action Detection via an Image Diffusion Process. - David Svitov, Pietro Morerio, Lourdes Agapito, Alessio Del Bue:
HAHA: Highly Articulated Gaussian Human Avatars with Textured Mesh Prior. - Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe:
Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment. - Javier Romero-Álvarez, Jaime Alvarado-Valiente, Jorge Casco-Seco, Enrique Moguel, José García-Alonso, Javier Berrocal, Juan Manuel Murillo:
Quantum circuit scheduler for QPUs usage optimization. - Navin Kamuni, Mayank Jindal, Arpita Soni, Sukender Reddy Mallreddy, Sharath Chandra Macha:
A Novel Audio Representation for Music Genre Identification in MIR. - Xiequn Dong, Zesong Fei, Xinyi Wang, Meng Hua, Qingqing Wu:
STAR-RIS Aided Secure MIMO Communication Systems. - Pau Urdeitx, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks. - Donggang Jia, Yunhai Wang, Ivan Viola:
Chat Modeling: Natural Language-based Procedural Modeling of Biological Structures without Training. - Yechi Ma, Shuoquan Wei, Churun Zhang, Wei Hua, Yanan Li, Shu Kong:
Roadside Monocular 3D Detection via 2D Detection Prompting. - Jing Hao, Lei He, Kuo Feng Hung:
T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation. - Ilayda Canyakmaz, Iosif Sakos, Wayne Lin, Antonios Varvitsiotis, Georgios Piliouras:
Steering game dynamics towards desired outcomes. - Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen:
Exploring the Mystery of Influential Data for Mathematical Reasoning. - Richard Kimera, Yun-Seon Kim, Heeyoul Choi:
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation. - Xin Li, Xuli Tang, Wei Lu:
How biomedical papers accumulated their clinical citations: A large-scale retrospective analysis based on PubMed. - Tianyang Li, Chao Wang, Hong Zhang:
Prompt Learning for Oriented Power Transmission Tower Detection in High-Resolution SAR Images. - Kaiyan Chang, Songcheng Xu, Chenglong Wang, Yingfeng Luo, Tong Xiao, Jingbo Zhu:
Efficient Prompting Methods for Large Language Models: A Survey. - Cheng Lu, Jiusun Zeng, Yu Xia, Jinhui Cai, Shihua Luo:
Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive Modeling. - João F. Henriques, Dylan Campbell, Tengda Han:
Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods. - Dmitriy Zhuk:
A simplified proof of the CSP Dichotomy Conjecture and XY-symmetric operations. - Yunze Liu, Changxi Chen, Chenjing Ding, Li Yi:
PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis via Forward Dynamics Guided 4D Imitation. - Ioannis Panagiotopoulos, Giorgos Filandrianos, Maria Lymperaiou, Giorgos Stamou:
AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles. - Xu Yang, Changxing Ding, Zhibin Hong, Junhao Huang, Jin Tao, Xiangmin Xu:
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On. - Sarah H. Q. Li, Florian Dörfler:
Mitigating Transient Bullwhip Effects Under Imperfect Demand Forecasts. - Maxim Nikolaev, Mikhail Kuznetsov, Dmitry P. Vetrov, Aibek Alanov:
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach. - Nausheen Mohammed, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma:
Enabling Memory Safety of C Programs using LLMs. - Luxi He, Mengzhou Xia, Peter Henderson:
What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety. - Anastasios Tsiamis, Mohamed Abdalmoaty, Roy S. Smith, John Lygeros:
Finite Sample Frequency Domain Identification. - Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti:
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. - Azad Ghaffari, Tiago Roux Oliveira:
Second-Order Newton-Based Extremum Seeking for Multivariable Static Maps. - Jaemin Kim, Yohan Na, Kangmin Kim, Sang-Rak Lee, Dong-Kyu Chae:
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity. - Xiping Sun, Jing Chen, Cong Wu, Kun He, Haozhe Xu, Yebo Feng, Ruiying Du, Xianhao Chen:
MagLive: Near-Field Magnetic Sensing-Based Voice Liveness Detection on Smartphones. - Abdullah H. Alqahtani:
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks. - Tong Hui, Stefan Rucareanu, Haotian Liu, Matteo Fumagalli:
A Center-of-Mass Shifting Aerial Manipulation Platform for Heavy-Tool Handling on Non-Horizontal Surfaces. - Yassine Hamdi, Aaron B. Wagner, Deniz Gündüz:
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness. - (Withdrawn) Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion features.
- Rob H. Bemthuis, Ruben R. Govers, Amin Asadi:
A CRISP-DM-based Methodology for Assessing Agent-based Simulation Models using Process Mining. - Chang Che, Haotian Zheng, Zengyi Huang, Wei Jiang, Bo Liu:
Intelligent Robotic Control System Based on Computer Vision Technology. - Xiang Ji, Haiyang Jiang, Yinqiang Zheng:
Motion Blur Decomposition with Cross-shutter Guidance. - Wenjie Shu, Hong-Xia Dou, Rui Wen, Xiao Wu, Liang-Jian Deng:
CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening. - Ajay Devda, Akshay Sunil, Murthy R, B. Deepthi:
Enhanced Precision in Rainfall Forecasting for Mumbai: Utilizing Physics Informed ConvLSTM2D Models for Finer Spatial and Temporal Resolution. - Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho:
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment. - Eduardo Moya-Lasheras, Edgar Ramirez-Laboreo, Carlos Sagüés:
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators. - Yulin Chen, Guoheng Huang, Kai Huang, Zijin Lin, Guo Zhong, Shenghong Luo, Jie Deng, Jian Zhou:
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation. - Bohao Yang, Kun Zhao, Chen Tang, Liang Zhan, Chenghua Lin:
Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation. - Ashish Rana, Michael Oesterle, Jannik Brinkmann:
GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems. - Yang Liu, He Guan, Chuanchen Luo, Lue Fan, Junran Peng, Zhaoxiang Zhang:
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians. - Jonathan Pan, Swee Liang Wong, Xin Wei Chia, Yidi Yuan:
Enhancing Reasoning Capacity of SLM using Cognitive Enhancement. - Dongxu Chang, Qingqing Peng, Guanghui Wang, Dawei Yin:
Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder. - Jianqiao Zheng, Xueqian Li, Simon Lucey:
Structured Initialization for Attention in Vision Transformers. - Kyuhee Kim, Surin Lee, Sangah Lee:
KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels. - Amol Khanna, Edward Raff, Nathan Inkawhich:
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. - Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. - Huan Zhang, Yifan Chen, Eric Vanden-Eijnden, Benjamin Peherstorfer:
Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations. - Parker Seegmiller, Joseph Gatto, Omar Sharif, Madhusudan Basak, Sarah Masud Preum:
Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit. - Hongtao Xv, Yaohua Sun, Yafei Zhao, Mugen Peng, Shijie Zhang:
Joint Beam Scheduling and Beamforming Design for Cooperative Positioning in Multi-beam LEO Satellite Networks. - Hongyu Zhang, Maoran Zhu, Qi Cai, Yuanxin Wu:
Visual-inertial state estimation based on Chebyshev polynomial optimization. - Jialou Wang, Manli Zhu, Yulei Li, Honglei Li, Longzhi Yang, Wai Lok Woo:
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs. - Hu Yu, Hao Luo, Fan Wang, Feng Zhao:
Uncovering the Text Embedding in Text-to-Image Diffusion Models. - Qiping Lai, Chen Shen, Dongsheng Li:
Dynamic Modeling and Stability Analysis for Repeated LVRT Process of Wind Turbine Based on Switched System Theory. - Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon, Shunghyun Choi, Yeong Hyeon Gu:
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining. - Vivian Liu, Yiqiao Yin:
Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training. - Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams:
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. - Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng:
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. - Amir Faghihi, Mohammadreza Fathollahi, Roozbeh Rajabi:
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models. - Nan Zhou, Zheng Ma:
Capturing Shock Waves by Relaxation Neural Networks. - Bing Xiao, Haichao Zhang, Shijie Zhao, Lu Cao:
Unified Predefined-time Stability Conditions of Nonlinear Systems with Lyapunov Analysis. - Haoran Li, Junqi Liu, Zexian Wang, Shiyuan Luo, Xiaowei Jia, Huaxiu Yao:
LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models. - Longfei Han, Qiuyu Xu, Klaus Kefferpütz, Ying Lu, Gordon Elger, Jürgen Beyerer:
Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis. - Jiarui Meng, Haijie Li, Yanmin Wu, Qiankun Gao, Shuzhou Yang, Jian Zhang, Siwei Ma:
Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting. - Qianyu Guo, Ziqing Yu, Jiaming Fu, Yawen Lu, Yahya H. Zweiri, Dongming Gan:
Force-EvT: A Closer Look at Robotic Gripper Force Measurement with Event-based Vision Transformer. - Wenrui Li, Xiaopeng Hong, Xiaopeng Fan:
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding. - Michiel P. Bron, Peter G. M. van der Heijden, A. J. Feelders, Arno P. J. M. Siebes:
Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review. - Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. - Hongwei Zheng, Linyuan Zhou, Han Li, Jinming Su, Xiaoming Wei, Xiaoming Xu:
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning. - Anuja Tayal, Barbara Di Eugenio, Devika Salunke, Andrew D. Boyd, Carolyn Dickens, Eulàlia P. Abril, Olga Garcia-Bedoya, Paula G. Allen-Meares:
A Neuro-Symbolic Approach to Monitoring Salt Content in Food. - Mingxin Yu, Chenning Yu, M.-Mahdi Naddaf-Sh, Devesh Upadhyay, Sicun Gao, Chuchu Fan:
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller. - Qiang Hu, Zhenyu Yi, Ying Zhou, Ting Li, Fan Huang, Mei Liu, Qiang Li, Zhiwei Wang:
MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint. - Griffin Adams:
Generating Faithful and Complete Hospital-Course Summaries from the Electronic Health Record.