Papers
Scaling provable adversarial defenses
Eric Wong, Frank Schmidt, Jan Hendrik Metzen et al.
Scaling the Poisson GLM to massive neural datasets through polynomial approximations
David Zoltowski, Jonathan W Pillow
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell Collins, Yukun Zhu et al.
See and Think: Disentangling Semantic Scene Completion
Shice Liu, YU HU, Yiming Zeng et al.
SEGA: Variance Reduction via Gradient Sketching
Filip Hanzely, Konstantin Mishchenko, Peter Richtarik
Self-Erasing Network for Integral Object Attention
Qibin Hou, PengTao Jiang, Yunchao Wei et al.
Self-Supervised Generation of Spatial Audio for 360° Video
Pedro Morgado, Nuno Nvasconcelos, Timothy Langlois et al.
Semi-crowdsourced Clustering with Deep Generative Models
Yucen Luo, TIAN TIAN, Jiaxin Shi et al.
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neal Jean, Sang Michael Xie, Stefano Ermon
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
Haitian Sun, William W. Cohen, Lidong Bing
Sequence-to-Segment Networks for Segment Detection
Zijun Wei, Boyu Wang, Minh Hoai Nguyen et al.
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam Kosiorek, Hyunjik Kim, Yee Whye Teh et al.
Sequential Context Encoding for Duplicate Removal
Lu Qi, Shu Liu, Jianping Shi et al.
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
Sharp Bounds for Generalized Uniformity Testing
Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart
Sigsoftmax: Reanalysis of the Softmax Bottleneck
Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka et al.
Simple, Distributed, and Accelerated Probabilistic Programming
Dustin Tran, Matthew W Hoffman, Dave Moore et al.
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi, David Poole
Simple random search of static linear policies is competitive for reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht
Single-Agent Policy Tree Search With Guarantees
Laurent Orseau, Levi Lelis, Tor Lattimore et al.
SING: Symbol-to-Instrument Neural Generator
Alexandre Defossez, Neil Zeghidour, Nicolas Usunier et al.
Size-Noise Tradeoffs in Generative Networks
Bolton Bailey, Matus J Telgarsky
Sketching Method for Large Scale Combinatorial Inference
Wei Sun, Junwei Lu, Han Liu
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
Aaron Mishkin, Frederik Kunstner, Didrik Nielsen et al.