XavierXiao / Likelihood-RegretLinks
Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020
☆50Updated 4 years ago
Alternatives and similar repositories for Likelihood-Regret
Users that are interested in Likelihood-Regret are comparing it to the libraries listed below
Sorting:
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- ☆57Updated 4 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Updated last year
- Official Pytorch's implementation of RotoGrad☆80Updated 2 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Updated 5 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆79Updated 5 years ago
- ☆68Updated 6 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆133Updated 2 years ago
- ☆83Updated 2 years ago
- Evaluating AlexNet features at various depths☆40Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 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
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Belief matching framework official implementation☆41Updated 2 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 5 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆145Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago