robust representation

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios ICML 2025 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Retrieval Robust to Object Motion Blur ECCV 2024 Combating Bilateral Edge Noise for Robust Link Prediction NeurIPS 2023 CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023 Internal Robust Representations for Domain Generalization AAAI 2023 Multi-View Robust Graph Representation Learning for Graph Classification IJCAI 2023 Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training CVPR 2023 DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck ICML 2022 Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation EMNLP 2022 Multi-dataset Training of Transformers for Robust Action Recognition NeurIPS 2022 NFormer: Robust Person Re-Identification With Neighbor Transformer CVPR 2022 Selective-Supervised Contrastive Learning With Noisy Labels CVPR 2022 Examining and Combating Spurious Features under Distribution Shift ICML 2021 Generative Interventions for Causal Learning CVPR 2021 Learning From Noisy Data With Robust Representation Learning ICCV 2021 Attentively Embracing Noise for Robust Latent Representation in BERT COLING 2020 Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization ICML 2020 Space-Time Robust Representation for Action Recognition ICCV 2013