Papers
11,951 papers found
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill, Andrew Lampinen, Rosalia Schneider et al.
Episodic Reinforcement Learning with Associative Memory
Guangxiang Zhu*, Zichuan Lin*, Guangwen Yang et al.
Escaping Saddle Points Faster with Stochastic Momentum
Jun-Kun Wang, Chi-Heng Lin, Jacob Abernethy
ES-MAML: Simple Hessian-Free Meta Learning
Xingyou Song, Wenbo Gao, Yuxiang Yang et al.
Estimating counterfactual treatment outcomes over time through adversarially balanced representations
Ioana Bica, Ahmed M Alaa, James Jordon et al.
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
Wouter Kool, Herke van Hoof, Max Welling
Evaluating The Search Phase of Neural Architecture Search
Kaicheng Yu, Christian Sciuto, Martin Jaggi et al.
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning
Qian Long*, Zihan Zhou*, Abhinav Gupta et al.
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation
Philipp Becker, Oleg Arenz, Gerhard Neumann
Experiences with Modeling Network Topologies at Multiple Levels of Abstraction
Jeffrey C. Mogul, Drago Goricanec, Martin Pool et al.
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
Nikaash Puri, Sukriti Verma, Piyush Gupta et al.
Explanation by Progressive Exaggeration
Sumedha Singla, Brian Pollack, Junxiang Chen et al.
Exploration in Reinforcement Learning with Deep Covering Options
Yuu Jinnai, Jee Won Park, Marlos C. Machado et al.
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning
Akanksha Atrey, Kaleigh Clary, David Jensen
Exploring Model-based Planning with Policy Networks
Tingwu Wang, Jimmy Ba
Extreme Classification via Adversarial Softmax Approximation
Robert Bamler, Stephan Mandt
Extreme Tensoring for Low-Memory Preconditioning
Xinyi Chen, Naman Agarwal, Elad Hazan et al.
Fair Resource Allocation in Federated Learning
Tian Li, Maziar Sanjabi, Ahmad Beirami et al.
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang*, Behnam Neyshabur*, Hossein Mobahi et al.
Faster saddle-point optimization for solving large-scale Markov decision processes
Joan Bas Serrano, Gergely Neu
FasterSeg: Searching for Faster Real-time Semantic Segmentation
Wuyang Chen, Xinyu Gong, Xianming Liu et al.
Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, J. Zico Kolter
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang*, Yuzhu Sun*, Kangjian Peng* et al.
Fast Task Inference with Variational Intrinsic Successor Features
Steven Hansen, Will Dabney, Andre Barreto et al.
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
Michael Tsang, Dehua Cheng, Hanpeng Liu et al.