salesforce / hierarchicalContrastiveLearningLinks
☆158Updated last week
Alternatives and similar repositories for hierarchicalContrastiveLearning
Users that are interested in hierarchicalContrastiveLearning are comparing it to the libraries listed below
Sorting:
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆270Updated 3 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆83Updated 3 years ago
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆115Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆136Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆99Updated 2 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆148Updated 2 years ago
- ☆27Updated 3 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆77Updated 2 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆218Updated last year
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆158Updated 2 years ago
- Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation☆103Updated 4 months ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated last year
- Papers about long-tailed tasks☆89Updated 2 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated 2 years ago
- ☆48Updated 3 years ago
- Large Loss Matters in Weakly Supervised Multi-Label Classification - CVPR2022☆46Updated last year
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆101Updated last year
- Official Pytorch implementation of "Probabilistic Cross-Modal Embedding" (CVPR 2021)☆131Updated last year
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482☆103Updated 4 years ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆112Updated last year
- Multi-Label Learning from Single Positive Labels - CVPR 2021☆97Updated last year
- Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/☆222Updated 2 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆137Updated 11 months ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 2 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 2 years ago