mahdihosseini / RMSGD
Exploiting Explainable Metrics for Augmented SGD [CVPR2022]
☆45Updated 2 years ago
Related projects: ⓘ
- Code to train the SimSiam model on cifar10 using PyTorch☆39Updated 2 years ago
- This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".☆39Updated 11 months ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆59Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆119Updated 3 years ago
- ☆92Updated 3 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆39Updated 3 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆47Updated 2 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 2 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- Differentiable Data Augmentation Library☆119Updated 2 years ago
- Implementation of Barlow Twins paper☆99Updated last year
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆67Updated last year
- PyTorch implementation of arxiv.org/pdf/2002.05709.pdf.☆22Updated 4 years ago
- ☆63Updated last year
- Code for paper "Orthogonal Convolutional Neural Networks".☆110Updated 3 years ago
- A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR…☆29Updated last year
- Repository providing a wide range of self-supervised pretrained models for computer vision tasks.☆61Updated 3 years ago
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated last year
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 5 months ago
- Check gradient flow in Pytorch☆85Updated 5 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆79Updated 4 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆127Updated 2 years ago
- Information Bottlenecks for Attribution☆73Updated last year
- A PyTorch converter for SimCLR checkpoints☆105Updated 3 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆27Updated 4 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆46Updated last year
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 3 years ago
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆45Updated 3 months ago
- Whitening for Self-Supervised Representation Learning | Official repository☆123Updated last year