Papers
Self-Damaging Contrastive Learning
Ziyu Jiang, Tianlong Chen, Bobak J Mortazavi et al.
Self-Improved Retrosynthetic Planning
Junsu Kim, Sungsoo Ahn, Hankook Lee et al.
Selfish Sparse RNN Training
Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei et al.
Self Normalizing Flows
Thomas A Keller, Jorn W.T. Peters, Priyank Jaini et al.
Self-Paced Context Evaluation for Contextual Reinforcement Learning
Theresa Eimer, André Biedenkapp, Frank Hutter et al.
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Yong Cheng, Wei Wang, Lu Jiang et al.
Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu, Hang Wang, Bingbing Ni et al.
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang, Jinghan Gao, Mingsheng Long et al.
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Bahar Taskesen, Man-Chung Yue, Jose Blanchet et al.
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
Anshoo Tandon, Aldric Han, Vincent Tan
SGLB: Stochastic Gradient Langevin Boosting
Aleksei Ustimenko, Liudmila Prokhorenkova
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Yu Wang, Alfred Hero
Sharf: Shape-conditioned Radiance Fields from a Single View
Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer
Seungwon Lee, Sima Behpour, Eric Eaton
Sharper Generalization Bounds for Clustering
Shaojie Li, Yong Liu
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn, Sungtae Lee, Jongwook Choi et al.
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
Kunal Dahiya, Ananye Agarwal, Deepak Saini et al.
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
Maud Lemercier, Cristopher Salvi, Thomas Cass et al.
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Ming Min, Ruimeng Hu
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
Lingxiao Yang, Ru-Yuan Zhang, Lida Li et al.
Simple and Effective VAE Training with Calibrated Decoders
Oleh Rybkin, Kostas Daniilidis, Sergey Levine
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth, Timo Milbich, Bjorn Ommer et al.
Single Pass Entrywise-Transformed Low Rank Approximation
Yifei Jiang, Yi Li, Yiming Sun et al.
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
Jihyeong Yoo, Qifeng Chen
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai, Peter D Bailis, Gregory Valiant