Papers
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
Xuefeng Du, Gabriel Gozum, Yifei Ming et al.
SIXO: Smoothing Inference with Twisted Objectives
Dieterich Lawson, Allan Raventós, Andrew Warrington et al.
Size and depth of monotone neural networks: interpolation and approximation
Dan Mikulincer, Daniel Reichman
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Davide Buffelli, Pietro Lió, Fabio Vandin
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
Leonid Iosipoi, Anton Vakhrushev
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding, Tahseen Rabbani, Bang An et al.
Sketching based Representations for Robust Image Classification with Provable Guarantees
Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka et al.
SKFlow: Learning Optical Flow with Super Kernels
SHANGKUN SUN, Yuanqi Chen, Yu Zhu et al.
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo, SangWoo Cho, Honguk Woo
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis
Roxana Daneshjou, Mert Yuksekgonul, Zhuo Ran Cai et al.
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Hossein Souri, Liam Fowl, Rama Chellappa et al.
Smoothed Embeddings for Certified Few-Shot Learning
Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek et al.
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang, Wei Jiang, Jinfeng Yi et al.
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions
Lucas Baudin, Rida Laraki
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson et al.
SnAKe: Bayesian Optimization with Pathwise Exploration
Jose Pablo Folch, Shiqiang Zhang, Robert Lee et al.
SNAKE: Shape-aware Neural 3D Keypoint Field
Chengliang Zhong, Peixing You, Xiaoxue Chen et al.
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
Jianhao Ding, Tong Bu, Zhaofei Yu et al.
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems
Thorben Frank, Oliver Unke, Klaus-Robert Müller
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu, Jose Blanchet, Lexing Ying
Society of Agents: Regret Bounds of Concurrent Thompson Sampling
Yan Chen, Perry Dong, Qinxun Bai et al.
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang, Jianlin Liu, Jinbao Wang et al.
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang, Mingxuan Xia, Yixuan Li et al.
Solving Quantitative Reasoning Problems with Language Models
Aitor Lewkowycz, Anders Andreassen, David Dohan et al.