Papers
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
Jonathan Wilton, Nan Ye
Robustly Train Normalizing Flows via KL Divergence Regularization
Kun Song, Ruben Solozabal, Hao Li et al.
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi 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 Martingales
Dapeng Zhi, Peixin Wang, Cheng Chen et al.
Robustness Verification of Multi-Class Tree Ensembles
Laurens Devos, Lorenzo Cascioli, Jesse Davis
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 Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
Ding-Chu Zhang, Zhi Zhou, Yu-Feng Li
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
Daniel Bethell, Simos Gerasimou, Radu Calinescu
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, 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.