ashafaei / OD-test
OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
☆62Updated 10 months ago
Related projects: ⓘ
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆199Updated 7 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆178Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆36Updated 3 years ago
- ☆38Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 3 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- A PyTorch converter for SimCLR checkpoints☆105Updated 3 years ago
- Gold Loss Correction☆86Updated 5 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆55Updated 4 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated last year
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 4 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆31Updated 6 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- ☆46Updated last year
- PyTorch Implementations of Dropout Variants☆87Updated 6 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆218Updated 4 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆142Updated last year
- ☆81Updated 9 months ago
- ☆46Updated 3 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 5 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆180Updated 5 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆51Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆59Updated 3 years ago
- ☆53Updated 6 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 4 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 6 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆264Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆84Updated 4 years ago