ashafaei / out-of-distribution-detectionLinks
The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
☆118Updated 5 years ago
Alternatives and similar repositories for out-of-distribution-detection
Users that are interested in out-of-distribution-detection are comparing it to the libraries listed below
Sorting:
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Updated 5 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Updated 6 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆276Updated 7 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆268Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆109Updated last year
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated 2 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆188Updated 6 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆349Updated 6 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆121Updated 5 years ago
- Robust loss functions for deep neural networks (CVPR 2017)☆92Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 6 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 6 years ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Gold Loss Correction☆88Updated 7 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆117Updated 6 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated 2 years ago