Papers
Dynamic Game Theoretic Neural Optimizer
Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou
Dynamic Planning and Learning under Recovering Rewards
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
Dustin Morrill, Ryan D’Orazio, Marc Lanctot et al.
Efficient Differentiable Simulation of Articulated Bodies
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun et al.
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Christian B Thygesen, Christian Skjødt Steenmans, Ahmad Salim Al-Sibahi et al.
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
Patrick Emami, Pan He, Sanjay Ranka et al.
Efficient Lottery Ticket Finding: Less Data is More
Zhenyu Zhang, Xuxi Chen, Tianlong Chen et al.
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
Jan-Hendrik Lange, Paul Swoboda
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan, Quoc Le
Efficient Online Learning for Dynamic k-Clustering
Dimitris Fotakis, Georgios Piliouras, Stratis Skoulakis
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
Angeliki Kamoutsi, Goran Banjac, John Lygeros
Efficient Statistical Tests: A Neural Tangent Kernel Approach
Sheng Jia, Ehsan Nezhadarya, Yuhuai Wu et al.
Efficient Training of Robust Decision Trees Against Adversarial Examples
Daniël Vos, Sicco Verwer
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
Chenfeng Miao, Liang Shuang, Zhengchen Liu et al.
Elastic Graph Neural Networks
Xiaorui Liu, Wei Jin, Yao Ma et al.
EL-Attention: Memory Efficient Lossless Attention for Generation
Yu Yan, Jiusheng Chen, Weizhen Qi et al.
Elementary superexpressive activations
Dmitry Yarotsky
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
Emergent Social Learning via Multi-agent Reinforcement Learning
Kamal K Ndousse, Douglas Eck, Sergey Levine et al.
Emphatic Algorithms for Deep Reinforcement Learning
Ray Jiang, Tom Zahavy, Zhongwen Xu et al.
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
Syama Sundar Rangapuram, Lucien D Werner, Konstantinos Benidis et al.
E(n) Equivariant Graph Neural Networks
Vı́ctor Garcia Satorras, Emiel Hoogeboom, Max Welling
Enhancing Robustness of Neural Networks through Fourier Stabilization
Netanel Raviv, Aidan Kelley, Minzhe Guo et al.
Ensemble Bootstrapping for Q-Learning
Oren Peer, Chen Tessler, Nadav Merlis et al.
Environment Inference for Invariant Learning
Elliot Creager, Joern-Henrik Jacobsen, Richard Zemel