Paper Papers

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

Lebin Yu, Yunbo Qiu, Quanming Yao et al.

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Kwang In Kim

Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models

Yang Liu

Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification

Xiaojun Xue, Chunxia Zhang, Tianxiang Xu et al.

Robust Loss Functions for Training Decision Trees with Noisy Labels

12831 Jonathan Wilton, Nan Ye

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Wen Huang, Xintao Wu

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal Ochoa de Retana, Hao Li et al.

Robustness-Guided Image Synthesis for Data-Free Quantization

Jianhong Bai, Yuchen Yang, Huanpeng Chu et al.

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward

Dapeng Zhi, Peixin Wang, Cheng Chen et al.

Robust Node Classification on Graph Data with Graph and Label Noise

Yonghua Zhu, Lei Feng, Zhenyun Deng et al.

Robust Nonparametric Regression under Poisoning Attack

Puning Zhao, Zhiguo Wan

Robust Policy Learning via Offline Skill Diffusion

Woo Kyung Kim, Minjong Yoo, Honguk Woo

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning

Ding-Chu Zhang, Zhi Zhou, Yufeng Li

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo et al.

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, Jiexin Lu, Xiaowei Li 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.

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.

SALSA: Semantically-Aware Latent Space Autoencoder

Kathryn Kirchoff, Travis Maxfield, Alexander Tropsha et al.

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

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

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.

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.

Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming

Srikar Appalaraju, Peng Tang, Qi Dong et al.

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers

Ruiyuan Zhang, Jiaxiang Liu, Zexi Li et al.