Papers
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.
Speeding Up Bellman Ford via Minimum Violation Permutations
Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
Alexander Lindermayr, Nicole Megow, Martin Rapp
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
Ran Ran, Xinwei Luo, Wei Wang et al.
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Boris Bonev, Thorsten Kurth, Christian Hundt et al.
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
Louis C. Tiao, Vincent Dutordoir, Victor Picheny
SpotEM: Efficient Video Search for Episodic Memory
Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman
spred: Solving L1 Penalty with SGD
Liu Ziyin, Zihao Wang
Spurious Valleys and Clustering Behavior of Neural Networks
Samuele Pollaci
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.
Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey et al.
Stabilizing GANs’ Training with Brownian Motion Controller
Tianjiao Luo, Ziyu Zhu, Jianfei Chen et al.