AAAI Papers

Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning

Chenchen Jing, Yukun Li, Hao Chen et al.

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying WEI et al.

Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning

Chenyi Jiang, Haofeng Zhang

Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought

Li Zheng, Hao Fei, Fei Li et al.

Review-Enhanced Hierarchical Contrastive Learning for Recommendation

Ke Wang, Yanmin Zhu, Tianzi Zang et al.

Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors

Authors: Shaojie Zhang, Chun Shen, Shuai Lü et al.

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

Ruiqian Nai, Zixin Wen, Ji Li et al.

Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction

Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru et al.

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

Lulu Xue, Shengshan Hu, Ruizhi Zhao et al.

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

Fan Xu, Nan Wang, Hao Wu et al.

Revisiting Open-Set Panoptic Segmentation

Yufei Yin, Hao Chen, Wengang Zhou et al.

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively

Hao Jiang, Tien Mai, Pradeep Varakantham et al.

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting

Lei Shu, Liangchen Luo, Jayakumar Hoskere et al.

RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks

Divya Saxena, Jiannong Cao, Jiahao Xu et al.

RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning

Jingdi Chen, Tian Lan, Carlee Joe-Wong

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Gwangpyo Yoo, Jinwoo Park, Honguk Woo

RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving

Daniel Coelho, Miguel Oliveira, Vitor Santos

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing

Robust 3D Tracking with Quality-Aware Shape Completion

Jingwen Zhang, Zikun Zhou, Guangming Lu et al.

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

Robust Blind Text Image Deblurring via Maximum Consensus Framework

Zijian Min, Gundu Hassan, GeunSik Jo

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.