Papers
11,955 papers found
SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models
Xin Zhang, Dong Zhang, Shimin Li et al.
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
Man Yao, JiaKui Hu, Tianxiang Hu et al.
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
Hongwei Ren, Yue Zhou, Xiaopeng LIN et al.
Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks
Shikuang Deng, Yuhang Wu, Kangrui Du et al.
Splatter a Video: Video Gaussian Representation for Versatile Processing
Yang-Tian Sun, Yi-Hua Huang, Lin Ma et al.
Spline-based Transformers
Prashanth Chandran, Agon Serifi, Markus Gross et al.
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
Eliya Nachmani, Alon Levkovitch, Roy Hirsch et al.
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Tim Dettmers, Ruslan A. Svirschevski, Vage Egiazarian et al.
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
Hongjun Wang, Sagar Vaze, Kai Han
Spurious Feature Diversification Improves Out-of-distribution Generalization
LIN Yong, Lu Tan, Yifan HAO et al.
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
Dongjin Kim, Donggoo Jung, Sungyong Baik et al.
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao et al.
SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
Rui Yin, Yulun Zhang, Zherong Pan et al.
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
Mengxin Zheng, Jiaqi Xue, Zihao Wang et al.
Stabilizing Backpropagation Through Time to Learn Complex Physics
Patrick Schnell, Nils Thuerey
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke et al.
Stable Anisotropic Regularization
William Rudman, Carsten Eickhoff
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh, Dongyoung Lim, Sungil Kim
Stable Video Portraits
Mirela Ostrek, Justus Thies
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
Brian DuSell, David Chiang
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
Yu Yongcan, Lijun Sheng, Ran He et al.
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li et al.
STARC: A General Framework For Quantifying Differences Between Reward Functions
Joar Max Viktor Skalse, Lucy Farnik, Sumeet Ramesh Motwani et al.
State Representation Learning Using an Unbalanced Atlas
Li Meng, Morten Goodwin, Anis Yazidi et al.
Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming
Yubo Zhuang, Xiaohui Chen, Yun Yang et al.