Papers
11,015 papers found
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li, Sanjeev Arora
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
Silviu Pitis, Harris Chan, Kiarash Jamali et al.
A Probabilistic Formulation of Unsupervised Text Style Transfer
Junxian He, Xinyi Wang, Graham Neubig et al.
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction
Taeuk Kim, Jihun Choi, Daniel Edmiston et al.
Are Transformers universal approximators of sequence-to-sequence functions?
Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat et al.
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould et al.
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
Michael S. Ryoo, AJ Piergiovanni, Mingxing Tan et al.
A Stochastic Derivative Free Optimization Method with Momentum
Eduard Gorbunov, Adel Bibi, Ozan Sener et al.
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.
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.
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.
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
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.