JiexiYan / UnHyperMLLinks
Code for "Unsupervised Hyperbolic Metric Learning" in CVPR 2021.
☆20Updated 3 years ago
Alternatives and similar repositories for UnHyperML
Users that are interested in UnHyperML are comparing it to the libraries listed below
Sorting:
- official pytorch implementation of Rethining Self-supervised Learning: Small is Beautiful.☆42Updated 4 years ago
- [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …☆162Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 4 months ago
- Whitening for Self-Supervised Representation Learning | Official repository☆131Updated 2 years ago
- Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization, CVPR 2023☆64Updated 2 years ago
- Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository☆200Updated 3 years ago
- ☆64Updated 3 years ago
- Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)☆18Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆100Updated this week
- Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)☆257Updated 2 months ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆185Updated last year
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆83Updated last year
- Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning [CVPR'22]☆24Updated 3 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆110Updated last year
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago
- On-Device Domain Generalization☆45Updated 2 years ago
- Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"☆157Updated last year
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆137Updated last year
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆76Updated 3 years ago
- ☆13Updated 3 years ago
- PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482☆103Updated 4 years ago
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆34Updated 6 months ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 3 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆96Updated 4 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- [CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)☆133Updated 3 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 4 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆81Updated last year
- Code for paper: Simple and Robust Loss Design for Multi-Label Learning with Missing Labels☆51Updated 2 years ago