taoyang1122 / GradAug
[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
☆93Updated 4 years ago
Alternatives and similar repositories for GradAug:
Users that are interested in GradAug are comparing it to the libraries listed below
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Differentiable Data Augmentation Library☆122Updated 2 years ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 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
- PyTorch implementation of shake-drop regularization☆54Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆81Updated 3 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆159Updated 3 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆150Updated 2 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆129Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 4 years ago
- ☆182Updated last year
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Updated 2 years ago
- Evaluating AlexNet features at various depths☆39Updated 4 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆64Updated 2 years ago
- an implementation of mixup☆41Updated 4 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- Implementation of various Vision Transformers I found interesting☆84Updated 3 years ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆40Updated 3 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆60Updated 4 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆80Updated 4 years ago