Papers
8,340 papers found
Sketched Ridgeless Linear Regression: The Role of Downsampling
Xin Chen, Yicheng Zeng, Siyue Yang et al.
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
Jonathan Hehir, Daniel Ting, Graham Cormode
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song, Yitan Wang, Zheng Yu et al.
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
Zhao Song, Xin Yang, Yuanyuan Yang et al.
SLAMB: Accelerated Large Batch Training with Sparse Communication
Hang Xu, Wenxuan Zhang, Jiawei Fei et al.
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
Clément Bonet, Benoı̂t Malézieux, Alain Rakotomamonjy et al.
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
Ziang Zhou, Jieming Shi, Renchi Yang et al.
Slot-VAE: Object-Centric Scene Generation with Slot Attention
Yanbo Wang, Letao Liu, Justin Dauwels
Smart Initial Basis Selection for Linear Programs
Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko et al.
Smooth Non-stationary Bandits
Su Jia, Qian Xie, Nathan Kallus et al.
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Guangxuan Xiao, Ji Lin, Mickael Seznec et al.
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
Zichong Li, Yanbo Xu, Simiao Zuo et al.
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning
Dongseok Shim, Seungjae Lee, H. Jin Kim
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
Seungwoong Ha, Hawoong Jeong
Solving High-Dimensional PDEs with Latent Spectral Models
Haixu Wu, Tengge Hu, Huakun Luo et al.
Solving Linear Programs with Fast Online Learning Algorithms
Wenzhi Gao, Dongdong Ge, Chunlin Sun et al.
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
Iris A.M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem et al.
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
Elias Frantar, Dan Alistarh
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach
Boya Hou, Sina Sanjari, Nathan Dahlin et al.
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova et al.
Spatial Implicit Neural Representations for Global-Scale Species Mapping
Elijah Cole, Grant Van Horn, Christian Lange et al.
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Qianru Zhang, Chao Huang, Lianghao Xia et al.
Specializing Smaller Language Models towards Multi-Step Reasoning
Yao Fu, Hao Peng, Litu Ou et al.
Special Properties of Gradient Descent with Large Learning Rates
Amirkeivan Mohtashami, Martin Jaggi, Sebastian U Stich
SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
Peiyan Dong, Zhenglun Kong, Xin Meng et al.