tadeephuy / GradientReversal
Gradient Reversal Layer for Domain Adaptation
☆115Updated 2 years ago
Alternatives and similar repositories for GradientReversal:
Users that are interested in GradientReversal are comparing it to the libraries listed below
- A minimal pytorch package implementing a gradient reversal layer.☆157Updated 3 months ago
- Additive margin softmax loss in pytorch☆46Updated 5 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆119Updated 3 years ago
- Domain Generalization with MixStyle (ICLR'21)☆286Updated 2 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆147Updated 2 years ago
- Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations☆89Updated 7 months ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆179Updated 7 months ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆74Updated 2 years ago
- ☆154Updated 2 years ago
- ☆38Updated 2 years ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆365Updated 2 years ago
- [DEPRECATED] A knowledge distillation toolkit based on PyTorch and PyTorch Lightning.☆139Updated 11 months ago
- Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation, WACV 2023☆68Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆73Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆135Updated 7 months ago
- A simple cross attention that updates both the source and target in one step☆162Updated 9 months ago
- ☆66Updated 2 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆83Updated 3 years ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆279Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆168Updated 2 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆63Updated 2 years ago
- Mutual Information in Pytorch☆108Updated last year
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆112Updated 3 years ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆89Updated last year
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆131Updated 2 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆131Updated 2 years ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆76Updated 3 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆140Updated last month
- When Does Label Smoothing Help?_pytorch_implementationimp☆126Updated 5 years ago