Papers
11,015 papers found
Environment Probing Interaction Policies
Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, Damien Vincent et al.
Equi-normalization of Neural Networks
Pierre Stock, Benjamin Graham, Rémi Gribonval et al.
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Vincent Tjeng, Kai Y. Xiao, Russ Tedrake
Excessive Invariance Causes Adversarial Vulnerability
Joern-Henrik Jacobsen, Jens Behrmann, Richard Zemel et al.
Execution-Guided Neural Program Synthesis
Xinyun Chen, Chang Liu, Dawn Song
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency
Liqian Ma, Xu Jia, Stamatios Georgoulis et al.
Explaining Image Classifiers by Counterfactual Generation
Chun-Hao Chang, Elliot Creager, Anna Goldenberg et al.
Exploration by random network distillation
Yuri Burda, Harrison Edwards, Amos Storkey et al.
Feature Intertwiner for Object Detection
Hongyang Li, Bo Dai, Shaoshuai Shi et al.
Feature-Wise Bias Amplification
Klas Leino, Emily Black, Matt Fredrikson et al.
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
Alexander Shekhovtsov, Boris Flach
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt et al.
Fixup Initialization: Residual Learning Without Normalization
Hongyi Zhang, Yann N. Dauphin, Tengyu Ma
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference
Randall Balestriero, Richard Baraniuk
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
Justin Fu, Anoop Korattikara, Sergey Levine et al.
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
Shengyang Sun, Guodong Zhang, Jiaxin Shi et al.
Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang, Tongzheng Ren, Jun Zhu et al.
GamePad: A Learning Environment for Theorem Proving
Daniel Huang, Prafulla Dhariwal, Dawn Song et al.
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau, Jun-Yan Zhu, Hendrik Strobelt et al.
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen et al.
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia, Jesse Zhang, David Tse
Generalized Tensor Models for Recurrent Neural Networks
Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets