Papers
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
Jiehong Lin, Hongyang Li, Ke Chen et al.
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Shiwei Liu, Tianlong Chen, Xiaohan Chen et al.
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Hippolyt Ritter, Martin Kukla, Cheng Zhang et al.
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang, Yifan Sun, Xun Wang et al.
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Yutong He, Dingjie Wang, Nicholas Lai et al.
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks
Zichen Miao, Ze Wang, Xiuyuan Cheng et al.
Spatio-Temporal Variational Gaussian Processes
Oliver Hamelijnck, William Wilkinson, Niki Loppi et al.
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher, Andrew Jones, Patrick Rubin-Delanchy
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang et al.
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Xiaolin Hu, Kai Li, Weiyi Zhang et al.
Speech-T: Transducer for Text to Speech and Beyond
Jiawei Chen, Xu Tan, Yichong Leng et al.
Speedy Performance Estimation for Neural Architecture Search
Robin Ru, Clare Lyle, Lisa Schut et al.
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Ruosi Wan, Zhanxing Zhu, Xiangyu Zhang et al.
Spot the Difference: Detection of Topological Changes via Geometric Alignment
Per Steffen Czolbe, Aasa Feragen, Oswin Krause
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
Junhui Zhang, Jingkai Yan, John Wright
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Sarfraz et al.
SSMF: Shifting Seasonal Matrix Factorization
Koki Kawabata, Siddharth Bhatia, Rui Liu et al.
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Sungmin Cha, beomyoung kim, YoungJoon Yoo et al.
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Yegor Klochkov, Nikita Zhivotovskiy
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
Fan Bao, Guoqiang Wu, Chongxuan LI et al.
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
Dominic Richards, Ilja Kuzborskij
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen, Hao Su, Xiaolong Wang
Stabilizing Dynamical Systems via Policy Gradient Methods
Juan Perdomo, Jack Umenberger, Max Simchowitz
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
Shengjie Luo, Shanda Li, Tianle Cai et al.