Papers
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
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang, Mengye Ren, Richard Zemel
Skew Orthogonal Convolutions
Sahil Singla, Soheil Feizi
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Sanyam Kapoor, Marc Finzi, Ke Alexander Wang et al.
Skill Discovery for Exploration and Planning using Deep Skill Graphs
Akhil Bagaria, Jason K Senthil, George Konidaris
Sliced Iterative Normalizing Flows
Biwei Dai, Uros Seljak
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Maxwell M Aladago, Lorenzo Torresani
SMG: A Shuffling Gradient-Based Method with Momentum
Trang H Tran, Lam M Nguyen, Quoc Tran-Dinh
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Sloan Nietert, Ziv Goldfeld, Kengo Kato
Soft then Hard: Rethinking the Quantization in Neural Image Compression
Zongyu Guo, Zhizheng Zhang, Runsen Feng et al.
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
Henry J Charlesworth, Giovanni Montana
Solving high-dimensional parabolic PDEs using the tensor train format
Lorenz Richter, Leon Sallandt, Nikolas Nüsken
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang, Qi Lei, Alex Dimakis
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
Yuhang He, Niki Trigoni, Andrew Markham
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao et al.