youngminPIL / AutoLRLinks
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
☆17Updated 4 years ago
Alternatives and similar repositories for AutoLR
Users that are interested in AutoLR are comparing it to the libraries listed below
Sorting:
- Curriculum by Smoothing (NeurIPS 2020)☆39Updated 5 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 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
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆18Updated 5 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 4 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 3 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
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 4 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆54Updated 4 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆37Updated 3 years ago
- [ICLR 2022]: Fast AdvProp☆35Updated 3 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆28Updated 5 years ago
- Compressing Representations for Self-Supervised Learning☆80Updated 4 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 3 years ago
- An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation St…☆48Updated 5 years ago
- ☆27Updated 3 years ago
- Out-of-distribution generalization benchmarks for image recognition models☆14Updated 5 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 4 years ago
- This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…☆29Updated 4 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 2 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- ☆25Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 4 years ago
- ☆31Updated 5 years ago
- PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization☆23Updated 5 years ago
- ☆57Updated 4 years ago
- ☆46Updated 4 years ago