Papers
Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data
Na Zhao, Gim Hee Lee
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
Qin Zhang, Xiaowei Li, Jiexin Lu et al.
Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation
Yutong Liu, Haijiang Zhu, Mengting Liu et al.
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan, Zhen Zhao, Lei Qi et al.
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery
Cheng-Ming Lin, Ching Chang, Wei-Yao Wang et al.
Root Cause Explanation of Outliers under Noisy Mechanisms
Phuoc Nguyen, Truyen Tran, Sunil Gupta et al.
RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition
Sihan Song, Furao Shen, Jian Zhao
RPSC: Robust Pseudo-Labeling for Semantic Clustering
Sihang Liu, Wenming Cao, Ruigang Fu et al.
RRL: Recommendation Reverse Learning
Xiaoyu You, Jianwei Xu, Mi Zhang et al.
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.