Papers
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Luya Wang, Feng Liang, Yangguang Li et al.
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
Bing Li, Jiaxin Chen, Dongming Zhang et al.
Representation Matters: Characterisation and Impossibility Results for Interval Aggregation
Ulle Endriss, Arianna Novaro, Zoi Terzopoulou
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
Nanqing Dong, Matteo Maggioni, Yongxin Yang et al.
Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks
Shuai He, Yongchang Zhang, Rui Xie et al.
Rethinking InfoNCE: How Many Negative Samples Do You Need?
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
Deli Chen, Yankai Lin, Lei Li et al.
Rethinking the Setting of Semi-supervised Learning on Graphs
Ziang Li, Ming Ding, Weikai Li et al.
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process
Schyler C. Sun, Bailu Jin, Zhuangkun Wei et al.
Revision by Comparison for Ranking Functions
Meliha Sezgin, Gabriele Kern-Isberner
Ridgeless Regression with Random Features
Jian Li, Yong Liu, Yingying Zhang
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
Chao Lin, Zhao Li, Sheng Zhou et al.
RoboGNN: Robustifying Node Classification under Link Perturbation
Sheng Guan, Hanchao Ma, Yinghui Wu
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
Shoujie Tong, Qingxiu Dong, Damai Dai et al.
Robust High-Dimensional Classification From Few Positive Examples
Deepayan Chakrabarti, Benjamin Fauber
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo et al.
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang, Mengdi Xu, Fei Fang et al.
Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction
De Cheng, Yan Li, Dingwen Zhang et al.
Robust Solutions for Multi-Defender Stackelberg Security Games
Dolev Mutzari, Yonatan Aumann, Sarit Kraus
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization
Chao Bian, Yawen Zhou, Chao Qian
Robust Weight Perturbation for Adversarial Training
Chaojian Yu, Bo Han, Mingming Gong et al.
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Yun Zhu, Jianhao Guo, Fei Wu et al.