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:
- ☆61Updated last year
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆22Updated last year
- The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"☆50Updated 2 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated 8 months ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆102Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆35Updated 2 years ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆45Updated 2 years ago
- ☆36Updated last year
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆71Updated 2 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆81Updated last year
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆20Updated 3 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆77Updated 2 years ago
- ☆49Updated last year
- ☆9Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆112Updated last year
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆16Updated 4 months ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Updated 4 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Updated last year
- [ICLR 2022] Open-World Semi-Supervised Learning☆101Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆45Updated 2 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated 2 years ago
- Benchmarks for semi-supervised domain generalization.☆69Updated 2 years ago
- A list of awesome partial-label learning papers and codes.☆36Updated 3 months ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆18Updated last year