dlmacedo / entropic-out-of-distribution-detectionLinks
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
☆79Updated 3 years ago
Alternatives and similar repositories for entropic-out-of-distribution-detection
Users that are interested in entropic-out-of-distribution-detection are comparing it to the libraries listed below
Sorting:
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 3 years ago
- ☆111Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆195Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 3 years ago
- ☆57Updated 4 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 3 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 3 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Updated 2 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Updated 4 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37Updated 4 years ago
- ☆96Updated 4 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆107Updated 2 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Updated 4 years ago
- Domain Adaptation☆23Updated 4 years ago
- ☆67Updated 2 years ago
- A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-di…☆17Updated 3 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Updated 3 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- NumPy library for calibration metrics☆73Updated 2 months ago
- Official Pytorch's implementation of RotoGrad☆80Updated 2 years ago