pietroastolfi / suave-daino
Code release for "Semi-supervised learning made simple with self-supervised clustering"
☆52Updated last year
Alternatives and similar repositories for suave-daino:
Users that are interested in suave-daino are comparing it to the libraries listed below
- List of papers that combine self-supervision and continual learning☆62Updated 2 months ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆97Updated 2 years ago
- ☆30Updated 9 months ago
- Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.☆71Updated 4 years ago
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆31Updated 10 months ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆120Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆49Updated 4 months ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆105Updated 10 months ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated 2 years ago
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆60Updated last year
- ☆57Updated last year
- [ICLR 2022] Open-World Semi-Supervised Learning☆96Updated 2 years ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆22Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆48Updated 2 years ago
- Bottom-up feature restoration☆16Updated 2 years ago
- ☆18Updated 2 years ago
- Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".☆16Updated 2 years ago
- Hyperbolic Image Segmentation, CVPR 2022☆80Updated 2 years ago
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated last year
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- ☆42Updated last year
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆35Updated last year
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆69Updated last year
- [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner☆37Updated last year
- ☆22Updated 3 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆45Updated last year
- A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification☆59Updated 2 years ago
- ☆66Updated 2 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆62Updated 2 years ago
- ☆42Updated last year