SchafferZhang / DADALinks
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
☆51Updated 6 years ago
Alternatives and similar repositories for DADA
Users that are interested in DADA are comparing it to the libraries listed below
Sorting:
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 6 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆42Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Updated 4 years ago
- Generative Adversarial Minority Oversampling☆33Updated 5 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 6 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Updated 4 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆55Updated 6 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆336Updated 4 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆141Updated 5 years ago
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆103Updated 3 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆174Updated 4 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆104Updated 5 years ago