mlbio-epfl / turtle
[ICML 2024] Let Go of Your Labels with Unsupervised Transfer
☆26Updated 3 months ago
Related projects: ⓘ
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆97Updated 6 months ago
- PyTorch implementation of Semi-supervised Vision Transformers☆48Updated last year
- ☆31Updated 5 months ago
- [CVPR 2024] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLA…☆53Updated 3 months ago
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆31Updated 7 months ago
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated last year
- [CVPR'23] Hard Patches Mining for Masked Image Modeling☆86Updated 8 months ago
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆118Updated 9 months ago
- B-cos Networks: Alignment is All we Need for Interpretability☆104Updated 10 months ago
- ☆16Updated 3 weeks ago
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆56Updated last year
- ☆54Updated last year
- This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.☆33Updated 5 months ago
- official pytorch implementation of Rethining Self-supervised Learning: Small is Beautiful.☆41Updated 3 years ago
- A Contrastive Learning Boost from Intermediate Pre-Trained Representations☆34Updated last week
- ☆57Updated last year
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆54Updated last year
- ☆76Updated 2 months ago
- LiVT PyTorch Implementation.☆67Updated last year
- [CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"☆33Updated 3 weeks ago
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆83Updated 9 months ago
- [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling☆64Updated 5 months ago
- Official PyTorch implementation of "Masked Images Are Counterfactual Samples for Robust Fine-tuning" (CVPR 2023)☆12Updated last year
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆86Updated last month
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆33Updated 10 months ago
- [arXiv'24] EVA-X: A foundation model for general chest X-ray analysis with self-supervised learning☆42Updated 4 months ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆61Updated 2 years ago
- [ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN☆22Updated last month
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆24Updated 8 months ago
- WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in co…☆75Updated 2 weeks ago