Papers
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
Zelin Peng, Zhengqin Xu, Zhilin Zeng et al.
Sample-and-Bound for Non-convex Optimization
Yaoguang Zhai, Zhizhen Qin, Sicun Gao
Sample-Constrained Black Box Optimization for Audio Personalization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
Meshal Alharbi, Mardavij Roozbehani, Munther Dahleh
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
Suyuan Liu, Junpu Zhang, Yi Wen et al.
Sampling for Beyond-Worst-Case Online Ranking
Qingyun Chen, Sungjin Im, Benjamin Moseley et al.
Sampling-Resilient Multi-Object Tracking
Zepeng Li, Dongxiang Zhang, Sai Wu et al.
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training
Chendi Zhu, Lujun Li, Yuli Wu et al.
SAT-Based Algorithms for Regular Graph Pattern Matching
Miguel Terra-Neves, José Amaral, Alexandre Lemos et al.
SAT-Based Techniques for Lexicographically Smallest Finite Models
Mikoláš Janota, Choiwah Chow, João Araújo et al.
SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Hai Xia, Stefan Szeider
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection
Jiahao Wang, Caixia Yan, Weizhan Zhang et al.
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network
Zekun Li, Hongying Liu, Fanhua Shang et al.
Say Anything with Any Style
Shuai Tan, Bin Ji, Yu Ding et al.
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge
Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt
Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming
Giang Trinh, Belaid Benhamou, Samuel Pastva et al.
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
Ruiyuan Zhang, Jiaxiang Liu, Zexi Li et al.
Scalable Motion Style Transfer with Constrained Diffusion Generation
Wenjie Yin, Yi Yu, Hang Yin et al.
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Jialu Zhang, Xiaoying Yang, Wentao He et al.
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment
Yongxu Liu, Yinghui Quan, Guoyao Xiao et al.
Scaling Few-Shot Learning for the Open World
Zhipeng Lin, Wenjing Yang, Haotian Wang et al.
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon
Marc Grimson, Rafael Almeida, Qinru Shi et al.
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Shuvendu Roy, Ali Etemad
ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding
Ziyang Lu, Yunqiang Pei, Guoqing Wang et al.