Papers
11,951 papers found
Asymptotics of Wide Networks from Feynman Diagrams
Ethan Dyer, Guy Gur-Ari
A Theoretical Analysis of the Number of Shots in Few-Shot Learning
Tianshi Cao, Marc T Law, Sanja Fidler
A Theory of Usable Information under Computational Constraints
Yilun Xu, Shengjia Zhao, Jiaming Song et al.
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates
Yossi Arjevani, Ohad Shamir, Nathan Srebro
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei, Yingwei Li, Xiaochen Lian et al.
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
Niv Giladi, Mor Shpigel Nacson, Elad Hoffer et al.
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam, Pascal Friederich, Mario Krenn et al.
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
Yiheng Zhou, Yulia Tsvetkov, Alan W Black et al.
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks*, Norman Mu*, Ekin Dogus Cubuk et al.
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization
Bin Gu, Wenhan Xian, Zhouyuan Huo et al.
Automated curriculum generation through setter-solver interactions
Sebastien Racaniere, Andrew Lampinen, Adam Santoro et al.
Automated Relational Meta-learning
Huaxiu Yao, Xian Wu, Zhiqiang Tao et al.
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt et al.
Automatic Quality Assessment for Audio-Visual Verification Systems. The LOVe Submission to NIST SRE Challenge 2019
Grigory Antipov, Nicolas Gengembre, Olivier Le Blouch et al.
AutoQ: Automated Kernel-Wise Neural Network Quantization
Qian Lou, Feng Guo, Minje Kim et al.
BackPACK: Packing more into Backprop
Felix Dangel, Frederik Kunstner, Philipp Hennig
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning
Ishan Durugkar, Elad Liebman, Peter Stone
Barycenters of Natural Images Constrained Wasserstein Barycenters for Image Morphing
Dror Simon, Aviad Aberdam
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
Yeming Wen, Dustin Tran, Jimmy Ba
Batch-shaping for learning conditional channel gated networks
Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
Bayesian Meta Sampling for Fast Uncertainty Adaptation
Zhenyi Wang, Yang Zhao, Ping Yu et al.
BayesOpt Adversarial Attack
Binxin Ru, Adam Cobb, Arno Blaas et al.
Behaviour Suite for Reinforcement Learning
Ian Osband, Yotam Doron, Matteo Hessel et al.
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang*, Varsha Kishore*, Felix Wu* et al.