Papers
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
Andres Potapczynski, Shikai Qiu, Marc Finzi et al.
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
Chuanhao Li, Zhen Li, Chenchen Jing et al.
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
Parsa Esmati, Amirhossein Dadashzadeh, Vahid Goodarzi Ardakani et al.
Second-order forward-mode optimization of recurrent neural networks for neuroscience
Youjing Yu, Rui Xia, Qingxi Ma et al.
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier et al.
SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling
Dengwei Zhao, Shikui Tu, Lei Xu
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
Qi Tang, Yao Zhao, Meiqin Liu et al.
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction
Bavesh Balaji, Jerrin Bright, Yuhao Chen et al.
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
Xin Xiao, Bohong Wu, Jiacong Wang et al.
Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL
Yangru Huang, Peixi Peng, Yifan Zhao et al.
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
Hongchao Zhang, Zhizhen Qin, Sicun Gao et al.
Segment Any Change
Zhuo Zheng, Yanfei Zhong, Liangpei Zhang et al.
Segment Anything without Supervision
XuDong Wang, Jingfeng Yang, Trevor Darrell
Segmenting Watermarked Texts From Language Models
Xingchi Li, Guanxun Li, Xianyang Zhang
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
Shivam Grover, Amin Jalali, Ali Etemad
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Yuxin Du, Fan Bai, Tiejun Huang et al.
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
Benjamin Feuer, Jiawei Xu, Niv Cohen et al.
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
Liangxin Liu, Xuebo Liu, Derek F. Wong et al.
Selective Attention: Enhancing Transformer through Principled Context Control
Xuechen Zhang, Xiangyu Chang, Mingchen Li et al.
Selective Explanations
Lucas Monteiro Paes, Dennis Wei, Flavio P. Calmon
Selective Generation for Controllable Language Models
Minjae Lee, Kyungmin Kim, Taesoo Kim et al.
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
Geng Yu, Jianing Zhu, Jiangchao Yao et al.
Self-Calibrating Conformal Prediction
Lars van der Laan, Ahmed M. Alaa
SelfCodeAlign: Self-Alignment for Code Generation
Yuxiang Wei, Federico Cassano, Jiawei Liu et al.