guyAmit / GLODLinks
Github for the conference paper GLOD-Gaussian Likelihood OOD detector
☆16Updated 3 years ago
Alternatives and similar repositories for GLOD
Users that are interested in GLOD are comparing it to the libraries listed below
Sorting:
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- ☆18Updated 3 years ago
- ☆25Updated 5 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆21Updated 5 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆18Updated 3 years ago
- ☆46Updated 4 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- ☆19Updated 3 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- LISA for ICML 2022☆49Updated 2 years ago
- [Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)☆14Updated 9 months ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Updated 6 months ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- ☆58Updated 3 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- Code for Overinterpretation paper☆19Updated last year
- ☆29Updated 3 years ago
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆27Updated 3 years ago
- ☆18Updated 2 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago