Papers
STEER : Simple Temporal Regularization For Neural ODE
Arnab Ghosh, Harkirat Behl, Emilien Dupont et al.
Stein Self-Repulsive Dynamics: Benefits From Past Samples
Mao Ye, Tongzheng Ren, Qiang Liu
STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks
Meiyi Ma, Ji Gao, Lu Feng et al.
Stochastic Deep Gaussian Processes over Graphs
Naiqi Li, Wenjie Li, Jifeng Sun et al.
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes
Hao Chen, Lili Zheng, Raed AL Kontar et al.
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi, Pieter Abbeel et al.
Stochastic Normalization
Zhi Kou, Kaichao You, Mingsheng Long et al.
Stochastic Normalizing Flows
Hao Wu, Jonas Köhler, Frank Noe
Stochastic Optimization for Performative Prediction
Celestine Mendler-Dünner, Juan Perdomo, Tijana Zrnic et al.
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov, Marina Danilova, Alexander Gasnikov
Stochastic Optimization with Laggard Data Pipelines
Naman Agarwal, Rohan Anil, Tomer Koren et al.
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo, Haishan Ye, Zhichao Huang et al.
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Miguel Monteiro, Loic Le Folgoc, Daniel Coelho de Castro et al.
Stochastic Stein Discrepancies
Jackson Gorham, Anant Raj, Lester W. Mackey
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning
Jianda Chen, Shangyu Chen, Sinno Jialin Pan
Strictly Batch Imitation Learning by Energy-based Distribution Matching
Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
Strongly Incremental Constituency Parsing with Graph Neural Networks
Kaiyu Yang, Jia Deng
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Meng Liu, David F Gleich
Structured Convolutions for Efficient Neural Network Design
Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin et al.
Structured Prediction for Conditional Meta-Learning
Ruohan Wang, Yiannis Demiris, Carlo Ciliberto
Subgraph Neural Networks
Emily Alsentzer, Samuel Finlayson, Michelle Li et al.
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
Yueming LYU, Yuan Yuan, Ivor W. Tsang
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
Hung Tran-The, Sunil Gupta, Santu Rana et al.