Wangt-CN / IP-IRM
[NeurIPS 2021 Spotlight] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"
☆129Updated last year
Related projects: ⓘ
- [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution☆75Updated 2 years ago
- Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.☆196Updated last year
- A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)☆47Updated last year
- GMoE could be the next backbone model for many kinds of generalization task.☆291Updated last year
- [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)☆116Updated this week
- [NeurIPS 2021] Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning☆116Updated 2 years ago
- A Pytorch implementation of CVPR 2021 paper "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"☆123Updated 2 years ago
- [AAAI 2023] Zero-Shot Enhancement of CLIP with Parameter-free Attention☆82Updated last year
- [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"☆114Updated 2 years ago
- [IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility☆80Updated 4 months ago
- Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).☆21Updated last year
- [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"☆81Updated last year
- [ICML22] "Revisiting and Advancing Fast Adversarial Training through the Lens of Bi-level Optimization" by Yihua Zhang*, Guanhua Zhang*, …☆72Updated last year
- ☆72Updated last year
- A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"☆127Updated 11 months ago
- FACTUAL benchmark dataset, the pre-trained textual scene graph parser trained on FACTUAL.☆96Updated last month
- Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".☆192Updated 5 months ago
- Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)☆57Updated 3 years ago
- [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"☆39Updated 7 months ago
- ☆79Updated last year
- A Python Library for Deep Probabilistic Models☆172Updated last month
- Multi-granularity Correspondence Learning from Long-term Noisy Videos [ICLR 2024, Oral]☆106Updated 5 months ago
- Weakly Supervised Posture Mining with Reverse Cross-entropy for Fine-grained Classification☆26Updated last year
- The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)☆29Updated last year
- ☆107Updated 3 months ago
- [CVPR 2023] Official implementation of the paper: Fine-grained Audible Video Description☆74Updated 9 months ago
- Evaluating Vision & Language Pretraining Models with Objects, Attributes and Relations.☆124Updated last year
- ☆166Updated last year
- [AAAI2021] The source code for our paper 《Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion》.☆113Updated last year
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆36Updated 3 years ago