janfreyberg / pytorch-revgrad
A minimal pytorch package implementing a gradient reversal layer.
☆154Updated 3 years ago
Related projects: ⓘ
- Gradient Reversal Layer for Domain Adaptation☆102Updated last year
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 3 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆128Updated 2 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆281Updated last year
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆304Updated 4 months ago
- Pytorch implementation of DANN☆20Updated 5 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆181Updated 3 years ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…☆19Updated 3 years ago
- Levenshtein edit-distance on PyTorch and CUDA☆94Updated last year
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆170Updated last month
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆76Updated 4 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 5 years ago
- A PyTorch converter for SimCLR checkpoints☆105Updated 3 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆79Updated 6 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆91Updated last year
- Pytorch Implementation of Deep Networks with Stochastic Depth☆61Updated 5 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 3 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆145Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 2 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆198Updated 6 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…☆147Updated 4 years ago
- Audio Visual Instance Discrimination with Cross-Modal Agreement☆127Updated 3 years ago
- ☆13Updated 5 years ago
- Implementation of Sparsemax activation in Pytorch☆155Updated 4 years ago
- Scripts to work with LMDB + PyTorch for Imagenet training☆58Updated 4 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆123Updated last year
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆122Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆34Updated 3 years ago
- ☆80Updated last month