Vastlab / Reducing-Network-Agnostophobia
☆69Updated 6 years ago
Alternatives and similar repositories for Reducing-Network-Agnostophobia:
Users that are interested in Reducing-Network-Agnostophobia are comparing it to the libraries listed below
- Counterfactual Image Generation☆84Updated 5 years ago
- Library for Meta-Recognition and Weibull based calibration of SVM data.☆82Updated 2 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 2 years ago
- The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)☆147Updated 4 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- ☆46Updated 4 years ago
- Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆82Updated last year
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 4 years ago
- ☆55Updated 5 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 3 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆96Updated last year
- Meta-Learning based Noise-Tolerant Training☆123Updated 4 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 4 years ago
- ☆25Updated 2 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆46Updated last year
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 3 years ago
- ☆23Updated 5 years ago
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆50Updated 6 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆62Updated 2 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆157Updated 3 years ago
- PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")☆44Updated 6 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- Re-implementation of the published ECCV '20 paper on reciprocal points for open-set recognition. Currently the state-of-the-art in open-s…☆24Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 3 years ago