Papers
Efficient Training of Energy-Based Models Using Jarzynski Equality
Davide Carbone, Mengjian Hua, Simon Coste et al.
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang, Henry Lam, Haofeng Zhang
Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities
Yale Song, Eugene Byrne, Tushar Nagarajan et al.
Egocentric Planning for Scalable Embodied Task Achievement
Xiatoian Liu, Hector Palacios, Christian Muise
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
Shuhan Tan, Tushar Nagarajan, Kristen Grauman
EgoEnv: Human-centric environment representations from egocentric video
Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai et al.
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
Hao Tang, Kevin J Liang, Kristen Grauman et al.
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Michael Wornow, Rahul Thapa, Ethan Steinberg et al.
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
Seongsu Bae, Daeun Kyung, Jaehee Ryu et al.
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
Zihang Shao, Xuanye Fang, Yaxin Li et al.
Elastic Decision Transformer
Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya
ELDEN: Exploration via Local Dependencies
Zizhao Wang, Jiaheng Hu, Peter Stone et al.
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
Han Shao, Lee Cohen, Avrim Blum et al.
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
Runqi Lin, Chaojian Yu, Tongliang Liu
Eliminating Domain Bias for Federated Learning in Representation Space
Jianqing Zhang, Yang Hua, Jian Cao et al.
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan, Ewa Kijak, laurent amsaleg et al.
EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis
Dragos Georgian Corlatescu, Alexandru Dinu, Mihaela Petruta Gaman et al.
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
Yao Mu, Qinglong Zhang, Mengkang Hu et al.
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
Zuheng Xu, Trevor Campbell
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Neel Guha, Mayee Chen, Kush Bhatia et al.
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
Tianqin Li, Ziqi Wen, Yangfan Li et al.
Emergent and Predictable Memorization in Large Language Models
Stella Biderman, USVSN PRASHANTH, Lintang Sutawika et al.
Emergent Communication for Rules Reasoning
Yuxuan Guo, Yifan Hao, Rui Zhang et al.
Emergent Communication in Interactive Sketch Question Answering
Zixing Lei, Yiming Zhang, Yuxin Xiong et al.