Papers
Eliciting Thinking Hierarchy without a Prior
Yuqing Kong, Yunqi Li, Yubo Zhang et al.
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma, Rose Wang, Fei-Fei Li et al.
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila et al.
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
Can Chang, Ni Mu, Jiajun Wu et al.
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
Ruoxi Jiang, Rebecca Willett
Embodied Scene-aware Human Pose Estimation
Zhengyi Luo, Shun Iwase, Ye Yuan et al.
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger, Luigi Gresele, Jack Brady et al.
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
Yang Jin, yongzhi li, Zehuan Yuan et al.
Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons
Paul Bertens, Seong-Whan Lee
Emergent Communication: Generalization and Overfitting in Lewis Games
Mathieu Rita, Corentin Tallec, Paul Michel et al.
Emergent Graphical Conventions in a Visual Communication Game
Shuwen Qiu, Sirui Xie, Lifeng Fan et al.
Empirical Gateaux Derivatives for Causal Inference
Michael I. Jordan, Yixin Wang, Angela Zhou
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
Hanxu Zhou, Zhou Qixuan, Zhenyuan Jin et al.
Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation
Jihoon Chung, Yu Wu, Olga Russakovsky
End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking
Arpit Bansal, Avi Schwarzschild, Eitan Borgnia et al.
End-to-end Stochastic Optimization with Energy-based Model
Lingkai Kong, Jiaming Cui, Yuchen Zhuang et al.
End-to-end Symbolic Regression with Transformers
Pierre-alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample et al.
Energy-Based Contrastive Learning of Visual Representations
Beomsu Kim, Jong Chul Ye
Enhanced Bilevel Optimization via Bregman Distance
Feihu Huang, Junyi Li, Shangqian Gao et al.
Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization
Chao Ren, Yizhong Pan, Jie Huang
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments
Desik Rengarajan, Sapana Chaudhary, Jaewon Kim et al.
Enhance the Visual Representation via Discrete Adversarial Training
Xiaofeng Mao, YueFeng Chen, Ranjie Duan et al.
Enhancing Safe Exploration Using Safety State Augmentation
Aivar Sootla, Alexander Cowen-Rivers, Jun Wang et al.
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts
Saleh Ashkboos, Langwen Huang, Nikoli Dryden et al.
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit, Huan Wang, Yingbo Zhou et al.