Papers
11,015 papers found
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto et al.
Dual Lottery Ticket Hypothesis
Yue Bai, Huan Wang, ZHIQIANG TAO et al.
Dynamics-Aware Comparison of Learned Reward Functions
Blake Wulfe, Logan Michael Ellis, Jean Mercat et al.
Dynamic Token Normalization improves Vision Transformers
Wenqi Shao, Yixiao Ge, Zhaoyang Zhang et al.
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban, Yuchen Yan, Arindam Banerjee et al.
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
Xiaolong Ma, Minghai Qin, Fei Sun et al.
Effect of scale on catastrophic forgetting in neural networks
Vinay Venkatesh Ramasesh, Aitor Lewkowycz, Ethan Dyer
Efficient Active Search for Combinatorial Optimization Problems
André Hottung, Yeong-Dae Kwon, Kevin Tierney
Efficient and Differentiable Conformal Prediction with General Function Classes
Yu Bai, Song Mei, Huan Wang et al.
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
Greg Yang, Michael Santacroce, Edward J Hu
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Quanyi Li, Zhenghao Peng, Bolei Zhou
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu, Karan Goel, Christopher Re
Efficient Neural Causal Discovery without Acyclicity Constraints
Phillip Lippe, Taco Cohen, Efstratios Gavves
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li, Jianwei Yang, Pengchuan Zhang et al.
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du, Hanshu Yan, Jiashi Feng et al.
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Junyuan Hong, Haotao Wang, Zhangyang Wang et al.
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
John Guibas, Morteza Mardani, Zongyi Li et al.
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums
Rui Pan, Haishan Ye, Tong Zhang
EigenGame Unloaded: When playing games is better than optimizing
Ian Gemp, Brian McWilliams, Claire Vernade et al.
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
Xingyu Wang, Sewoong Oh, Chang-Han Rhee
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
Gianluigi Silvestri, Emily Fertig, Dave Moore et al.
Emergent Communication at Scale
Rahma Chaabouni, Florian Strub, Florent Altché et al.
Enabling Arbitrary Translation Objectives with Adaptive Tree Search
Wang Ling, Wojciech Stokowiec, Domenic Donato et al.
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
Bae Seong Park, Se Jung Kwon, Daehwan Oh et al.