UCSC-REAL / SelfSup_NoisyLabelLinks
Learning from noisy labels via regularization between representations
☆11Updated 2 years ago
Alternatives and similar repositories for SelfSup_NoisyLabel
Users that are interested in SelfSup_NoisyLabel are comparing it to the libraries listed below
Sorting:
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆24Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- ☆62Updated last year
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Updated 4 years ago
- The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"☆56Updated 2 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆26Updated 2 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Updated 2 years ago
- ☆49Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆30Updated 2 years ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆104Updated 2 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 5 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆19Updated last year
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Updated last year
- Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatiopytorch☆10Updated 3 years ago
- ☆13Updated 2 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆82Updated last year
- ☆40Updated last year
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆71Updated 2 years ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆123Updated 2 years ago
- Benchmarks for semi-supervised domain generalization.☆72Updated 3 years ago
- [ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".☆44Updated last year
- [ICLR 2022] Open-World Semi-Supervised Learning☆106Updated 3 years ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆48Updated 2 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 4 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆107Updated 3 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆79Updated 3 years ago