UMBCvision / CompRessLinks
Compressing Representations for Self-Supervised Learning
☆80Updated 4 years ago
Alternatives and similar repositories for CompRess
Users that are interested in CompRess are comparing it to the libraries listed below
Sorting:
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆56Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 4 years ago
- ☆42Updated 5 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 5 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆37Updated 3 years ago
- MoPro: Webly Supervised Learning☆88Updated 9 months ago
- Code for SelfAugment☆27Updated 5 years ago
- ☆45Updated 3 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 4 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆77Updated 4 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 3 years ago
- (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…☆36Updated 4 years ago
- models and tools for -What makes ImageNet good for Transfer Learning?☆25Updated 8 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 4 years ago
- Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)☆45Updated 4 years ago
- Evaluation of semi-supervised learning on challenging datasets☆38Updated 4 years ago
- ☆58Updated 4 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆108Updated 3 years ago
- We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances…☆47Updated 4 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 5 years ago
- ☆85Updated 3 years ago
- MoCo with Alignment and Uniformity Loss.☆63Updated 4 years ago
- Evaluating AlexNet features at various depths☆40Updated 5 years ago