Papers
Semi-flat minima and saddle points by embedding neural networks to overparameterization
Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake et al.
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna Narayanan et al.
Semi-Parametric Dynamic Contextual Pricing
Virag Shah, Ramesh Johari, Jose Blanchet
Semi-Parametric Efficient Policy Learning with Continuous Actions
Victor Chernozhukov, Mert Demirer, Greg Lewis et al.
Semi-supervisedly Co-embedding Attributed Networks
Zaiqiao Meng, Shangsong Liang, Jinyuan Fang et al.
Sequence Modeling with Unconstrained Generation Order
Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov
Sequential Experimental Design for Transductive Linear Bandits
Tanner Fiez, Lalit Jain, Kevin G. Jamieson et al.
Sequential Neural Processes
Gautam Singh, Jaesik Yoon, Youngsung Son et al.
SGD on Neural Networks Learns Functions of Increasing Complexity
Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran et al.
Shadowing Properties of Optimization Algorithms
Antonio Orvieto, Aurelien Lucchi
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices
Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal et al.
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent LE GUEN, Nicolas THOME
Shaping Belief States with Generative Environment Models for RL
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse et al.
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Qian Lou, Lei Jiang
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits
Etienne Boursier, Vianney Perchet
Sim2real transfer learning for 3D human pose estimation: motion to the rescue
Carl Doersch, Andrew Zisserman
Single-Model Uncertainties for Deep Learning
Natasa Tagasovska, David Lopez-Paz
Singleshot : a scalable Tucker tensor decomposition
Abraham Traore, Maxime Berar, Alain Rakotomamonjy
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
Giulia Luise, Saverio Salzo, Massimiliano Pontil et al.
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
Vincent Chen, Sen Wu, Alexander J Ratner et al.
Sliced Gromov-Wasserstein
Vayer Titouan, Rémi Flamary, Nicolas Courty et al.
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies
Seyed Kamyar Seyed Ghasemipour, Shixiang (Shane) Gu, Richard Zemel
Smoothing Structured Decomposable Circuits
Andy Shih, Guy Van den Broeck, Paul Beame et al.
Sobolev Independence Criterion
Youssef Mroueh, Tom Sercu, Mattia Rigotti et al.