TTN-YKK / Clustering_friendly_representation_learning
☆53Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Clustering_friendly_representation_learning
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆31Updated 3 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆45Updated 9 months ago
- Implementation of Multi-View Information Bottleneck☆124Updated 4 years ago
- The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.☆59Updated 2 years ago
- official implemntation for "Contrastive Learning with Stronger Augmentations"☆57Updated 3 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆46Updated 3 years ago
- Weakly Supervised Contrastive Learning☆40Updated 3 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆56Updated 4 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)☆46Updated 2 years ago
- ☆16Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆50Updated 7 months ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆90Updated 2 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆24Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆37Updated 2 years ago
- Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20☆20Updated 2 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated 10 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆39Updated last year
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆135Updated 3 years ago
- A PyTorch implementation of the Variational approach for PU learning☆28Updated 4 years ago
- ☆29Updated last year
- ☆31Updated 3 years ago
- Exploring Simple Siamese Representation Learning☆59Updated 3 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".☆17Updated 9 months ago
- ☆42Updated last year