tadeephuy / GradientReversal
Gradient Reversal Layer for Domain Adaptation
☆116Updated 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.☆158Updated 5 months ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆373Updated 2 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆121Updated 3 years ago
- Domain Generalization with MixStyle (ICLR'21)☆297Updated 2 years ago
- Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations☆90Updated 10 months ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆141Updated 3 months ago
- Additive margin softmax loss in pytorch☆46Updated 5 years ago
- Another Domain Adaptation library, aimed at researchers.☆98Updated last month
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆132Updated last year
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆285Updated 2 years ago
- ☆154Updated 2 years ago
- PyTorch implementation of some learning rate schedulers for deep learning researcher.☆89Updated 2 years ago
- Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation, WACV 2023☆70Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆183Updated 9 months ago
- ☆66Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆92Updated 6 months ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆136Updated 9 months ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆178Updated 11 months ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆141Updated 3 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆148Updated 4 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆147Updated 2 years ago
- Pytorch implementation for t-SNE with cuda to accelerate☆332Updated 2 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆84Updated 3 years 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…☆75Updated 2 years ago
- Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE☆35Updated 2 years ago
- Unsupervised Domain Adaptation for Computer Vision Tasks☆105Updated 2 years ago