Papers
11,951 papers found
Sign Bits Are All You Need for Black-Box Attacks
Abdullah Al-Dujaili, Una-May O'Reilly
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng, Simranjit Singh, Patrick H. Chen et al.
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee
Wei Hu, Zhiyuan Li, Dingli Yu
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Hengyuan Hu, Jakob N Foerster
Single Episode Policy Transfer in Reinforcement Learning
Jiachen Yang, Brenden Petersen, Hongyuan Zha et al.
Sinkhorn Regression
Lei Luo, Jian Pei, Heng Huang
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu, Yisen Wang, Shu-Tao Xia et al.
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations
Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio et al.
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas et al.
Smart Forgetting for Safe Online Learning with Gaussian Processes
Jonas Umlauft, Thomas Beckers, Alexandre Capone et al.
Smooth markets: A basic mechanism for organizing gradient-based learners
David Balduzzi, Wojciech M. Czarnecki, Tom Anthony et al.
Smoothness and Stability in GANs
Casey Chu, Kentaro Minami, Kenji Fukumizu
SNODE: Spectral Discretization of Neural ODEs for System Identification
Alessio Quaglino, Marco Gallieri, Jonathan Masci et al.
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks
Chungkuk Yoo, Bumsoo Kang, Minsik Cho
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations
Yunfeng Cai, Ping Li
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri et al.
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation
Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang
Sparse Coding with Gated Learned ISTA
Kailun Wu, Yiwen Guo, Ziang Li et al.
Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design
Ethan Evans, Andrew Kendall, Georgios Boutselis et al.
Spectral Embedding of Regularized Block Models
Nathan De Lara, Thomas Bonald
Spike-based causal inference for weight alignment
Jordan Guerguiev, Konrad Kording, Blake Richards
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
Johannes C. Thiele, Olivier Bichler, Antoine Dupret
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
Amartya Sanyal, Philip H. Torr, Puneet K. Dokania
State Alignment-based Imitation Learning
Fangchen Liu, Zhan Ling, Tongzhou Mu et al.