Papers
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Adam Block, Max Simchowitz, Russ Tedrake
Smooth, exact rotational symmetrization for deep learning on point clouds
Sergey Pozdnyakov, Michele Ceriotti
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Max Torop, Aria Masoomi, Davin Hill et al.
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
Alex Damian, Eshaan Nichani, Rong Ge et al.
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Zhongang Cai, Wanqi Yin, Ailing Zeng et al.
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li, Huan Wang, Qing Jin et al.
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
Paul-Edouard Sarlin, Eduard Trulls, Marc Pollefeys et al.
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
Hugues Van Assel, Titouan Vayer, Rémi Flamary et al.
SOAR: Improved Indexing for Approximate Nearest Neighbor Search
Philip Sun, David Simcha, Dave Dopson et al.
Social Motion Prediction with Cognitive Hierarchies
Wentao Zhu, Jason Qin, Yuke Lou et al.
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
Zhuoyan Luo, Yicheng Xiao, Yong Liu et al.
SODA: Robust Training of Test-Time Data Adaptors
Zige Wang, Yonggang Zhang, Zhen Fang et al.
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks
Changhyeon Lee, Seulki Lee
Soft-Unification in Deep Probabilistic Logic
Jaron Maene, Luc De Raedt
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions
Yuriy Biktairov, Jyotirmoy Deshmukh
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Xidong Wu, Jianhui Sun, Zhengmian Hu et al.
Solving Inverse Physics Problems with Score Matching
Benjamin Holzschuh, Simona Vegetti, Nils Thuerey
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout, Negin Raoof, Giannis Daras et al.
Sorting with Predictions
Xingjian Bai, Christian Coester
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Taesik Gong, Yewon Kim, Taeckyung Lee et al.
SoundCam: A Dataset for Finding Humans Using Room Acoustics
Mason Wang, Samuel Clarke, Jui-Hsien Wang et al.
Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio
Xudong XU, Dejan Markovic, Jacob Sandakly et al.
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
Zhiqing Xiao, Haobo Wang, Ying Jin et al.
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
Yi-Chung Chen, Hsi-Wen Chen, Shun-Gui Wang et al.