YU1ut / Ensemble-of-Leave-out-ClassifiersLinks
Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
☆27Updated 3 years ago
Alternatives and similar repositories for Ensemble-of-Leave-out-Classifiers
Users that are interested in Ensemble-of-Leave-out-Classifiers are comparing it to the libraries listed below
Sorting:
- ☆46Updated 4 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆97Updated last year
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Updated 5 years ago
- ☆69Updated 6 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Updated 4 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- Counterfactual Image Generation☆83Updated 5 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 5 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆49Updated last year
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆63Updated 6 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Updated 5 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 6 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆231Updated 6 years ago
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 5 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆98Updated last year
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 6 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated 2 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 5 years ago