yukimasano / linear-probes
Evaluating AlexNet features at various depths
☆39Updated 4 years ago
Alternatives and similar repositories for linear-probes:
Users that are interested in linear-probes are comparing it to the libraries listed below
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- Code for SelfAugment☆27Updated 4 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆17Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 4 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 4 years ago
- ☆46Updated 3 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 3 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 6 months ago
- Role-Wise Data Augmentation for Knowledge Distillation☆18Updated 2 years ago
- ☆46Updated 2 years ago
- Regularizing Meta-Learning via Gradient Dropout☆52Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 9 months ago
- ☆23Updated 2 years ago
- ☆23Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated last year
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 4 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆78Updated 3 years ago
- ☆42Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆58Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation