Papers
11,951 papers found
Temporally Efficient Deep Learning with Spikes
Peter O'Connor, Efstratios Gavves, Matthias Reisser et al.
The Diphthongs of Formal Nigerian English: A Preliminary Acoustic Analysis
Natalia Dyrenko, Robert Fuchs
The Effect of Network Width on the Performance of Large-batch Training
Lingjiao Chen, Hongyi Wang, Jinman Zhao et al.
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson, Cory P. Berg
The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson et al.
The Kanerva Machine: A Generative Distributed Memory
Yan Wu, Greg Wayne, Alex Graves et al.
The power of deeper networks for expressing natural functions
David Rolnick, Max Tegmark
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
Audrunas Gruslys, Will Dabney, Mohammad Gheshlaghi Azar et al.
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
Jacob Buckman, Aurko Roy, Colin Raffel et al.
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
Tomer Galanti, Lior Wolf, Sagie Benaim
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona, Enea Ceolini, Cengiz Öztireli et al.
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt et al.
Towards Image Understanding from Deep Compression Without Decoding
Robert Torfason, Fabian Mentzer, Eirikur Agustsson et al.
Towards Neural Phrase-based Machine Translation
Po-Sen Huang, Chong Wang, Sitao Huang et al.
Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh, Max Augustin, Mario Fritz et al.
Towards Synthesizing Complex Programs From Input-Output Examples
Xinyun Chen, Chang Liu, Dawn Song
Training and Inference with Integers in Deep Neural Networks
Shuang Wu, Guoqi Li, Feng Chen et al.
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee, Honglak Lee, Kibok Lee et al.
Training GANs with Optimism
Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis et al.
TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN
Xu Chen, Jiang Wang, Hao Ge
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar, Tim Rocktäschel, Maximilian Igl et al.
TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING
Wen Sun, J. Andrew Bagnell, Byron Boots
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Ofir Nachum, Mohammad Norouzi, Kelvin Xu et al.
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni et al.