Papers
Ensembling Graph Predictions for AMR Parsing
Thanh Lam Hoang, Gabriele Picco, Yufang Hou et al.
Entropic Desired Dynamics for Intrinsic Control
Steven Hansen, Guillaume Desjardins, Kate Baumli et al.
Entropy-based adaptive Hamiltonian Monte Carlo
Marcel Hirt, Michalis K. Titsias, Petros Dellaportas
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur, Natasha Jaques, Yingjie Miao et al.
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
Lulu Zheng, Jiarui Chen, Jianhao Wang et al.
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium
Gabriele Farina, Tuomas Sandholm
Equivariant Manifold Flows
Isay Katsman, Aaron Lou, Derek Lim et al.
Error Compensated Distributed SGD Can Be Accelerated
Xun Qian, Peter Richtarik, Tong Zhang
ErrorCompensatedX: error compensation for variance reduced algorithms
Hanlin Tang, Yao Li, Ji Liu et al.
Escape saddle points by a simple gradient-descent based algorithm
Chenyi Zhang, Tongyang Li
Escaping Saddle Points with Compressed SGD
Dmitrii Avdiukhin, Grigory Yaroslavtsev
Estimating High Order Gradients of the Data Distribution by Denoising
Chenlin Meng, Yang Song, Wenzhe Li et al.
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar
Estimating the Long-Term Effects of Novel Treatments
Keith Battocchi, Eleanor Dillon, Maggie Hei et al.
Estimating the Unique Information of Continuous Variables
Ari Pakman, Amin Nejatbakhsh, Dar Gilboa et al.
Evaluating Efficient Performance Estimators of Neural Architectures
Xuefei Ning, Changcheng Tang, Wenshuo Li et al.
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang, Samyak Gupta, Zhao Song et al.
Evaluating model performance under worst-case subpopulations
Mike Li, Hongseok Namkoong, Shangzhou Xia
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Ryan Theisen, Huan Wang, Lav R. Varshney et al.
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Ho Chit Siu, Jaime Peña, Edenna Chen et al.
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
Kenneth Borup, Lars N Andersen
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen, Mikhal Itkina, Ransalu Senanayake et al.
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
Ondrej Bohdal, Yongxin Yang, Timothy Hospedales
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Jagdeep Bhatia, Holly Jackson, Yunsheng Tian et al.