Papers
11,951 papers found
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
Nuwan Ferdinand, Haider Al-Lawati, Stark Draper et al.
Approximability of Discriminators Implies Diversity in GANs
Yu Bai, Tengyu Ma, Andrej Risteski
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Wieland Brendel, Matthias Bethge
Are adversarial examples inevitable?
Ali Shafahi, W. Ronny Huang, Christoph Studer et al.
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin, Mingyuan Zhou
A rotation-equivariant convolutional neural network model of primary visual cortex
Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis et al.
A Statistical Approach to Assessing Neural Network Robustness
Stefan Webb, Tom Rainforth, Yee Whye Teh et al.
Attention, Learn to Solve Routing Problems!
Wouter Kool, Herke van Hoof, Max Welling
Attentive Neural Processes
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz et al.
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong et al.
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Jack Lindsey, Samuel A. Ocko, Surya Ganguli et al.
A Universal Music Translation Network
Noam Mor, Lior Wolf, Adam Polyak et al.
AutoLoss: Learning Discrete Schedule for Alternate Optimization
Haowen Xu, Hao Zhang, Zhiting Hu et al.
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang, Abhishek Gupta, Sergey Levine et al.
Auxiliary Variational MCMC
Raza Habib, David Barber
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud et al.
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou et al.
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi, Aditya Rawal, Jeff Clune et al.
BA-Net: Dense Bundle Adjustment Networks
Chengzhou Tang, Ping Tan
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao, Yasaman Bahri et al.
Bayesian Policy Optimization for Model Uncertainty
Gilwoo Lee, Brian Hou, Aditya Mandalika et al.
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Beating SGD Saturation with Tail-Averaging and Minibatching
Nicole Muecke, Gergely Neu, Lorenzo Rosasco
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks, Thomas Dietterich
Beyond Greedy Ranking: Slate Optimization via List-CVAE
Ray Jiang, Sven Gowal, Yuqiu Qian et al.