Papers
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
Shuzhi Cao, Jianfei Ruan, Bo Dong et al.
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
Weijie Zheng, Benjamin Doerr
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal et al.
Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs
Olaf Beyersdorff, Benjamin Böhm, Meena Mahajan
RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation
Wensi Liu, Xiao-Yu Tang, Chong Yang et al.
S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution
Jiahui Qu, Jie He, Wenqian Dong et al.
S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention
Chiyu Zhang, Xiaogang Xu, Lei Wang et al.
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
Sheng Zhang, Muzammal Naseer, Guangyi Chen et al.
SA²VP: Spatially Aligned-and-Adapted Visual Prompt
Wenjie Pei, Tongqi Xia, Fanglin Chen et al.
Safe Abductive Learning in the Presence of Inaccurate Rules
Xiao-Wen Yang, Jie-Jing Shao, Wei-Wei Tu et al.
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
Haochen Wu, Shubham Sharma, Sunandita Patra et al.
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
Rohan Mitta, Hosein Hasanbeig, Jun Wang et al.
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration
Honghao Wei, Xin Liu, Lei Ying
SALSA: Semantically-Aware Latent Space Autoencoder
Kathryn E. Kirchoff, Travis Maxfield, Alexander Tropsha et al.
SAME: Sample Reconstruction against Model Extraction Attacks
Yi Xie, Jie Zhang, Shiqian Zhao et al.
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model
Shili Zhou, Ruian He, Weimin Tan et al.
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.