Papers
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
Justin Fu, Anoop Korattikara, Sergey Levine et al.
Human-level Protein Localization with Convolutional Neural Networks
Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl et al.
Neural Program Repair by Jointly Learning to Localize and Repair
Marko Vasic, Aditya Kanade, Petros Maniatis et al.
textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR
Pankaj Gupta, Yatin Chaudhary, Florian Buettner et al.
Learning Protein Structure with a Differentiable Simulator
John Ingraham, Adam Riesselman, Chris Sander et al.
Local SGD Converges Fast and Communicates Little
Sebastian U. Stich
Amortized Bayesian Meta-Learning
Sachin Ravi, Alex Beatson
Sliced Wasserstein Auto-Encoders
Soheil Kolouri, Phillip E. Pope, Charles E. Martin et al.
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
Zhiming Zhou*, Qingru Zhang*, Guansong Lu et al.
Visual Semantic Navigation using Scene Priors
Wei Yang, Xiaolong Wang, Ali Farhadi et al.
Meta-Learning with Latent Embedding Optimization
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski et al.
Multilingual Neural Machine Translation With Soft Decoupled Encoding
Xinyi Wang, Hieu Pham, Philip Arthur et al.
Learning To Simulate
Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
Kenneth Marino, Abhinav Gupta, Rob Fergus et al.
Gradient descent aligns the layers of deep linear networks
Ziwei Ji, Matus Telgarsky
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Xiangyi Chen, Sijia Liu, Ruoyu Sun et al.
The role of over-parametrization in generalization of neural networks
Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli et al.
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli et al.
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Vitalii Zhelezniak, Aleksandar Savkov, April Shen et al.
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora, Nadav Cohen, Noah Golowich et al.
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma, Chunting Zhou, Eduard Hovy
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
Yang Zhang, Hassan Foroosh, Philip David et al.
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Perez, Chico Q. Camargo, Ard A. Louis
Temporal Difference Variational Auto-Encoder
Karol Gregor, George Papamakarios, Frederic Besse et al.
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen et al.