selflein / EBM-OOD-Detection
Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning.
☆20Updated 3 years ago
Alternatives and similar repositories for EBM-OOD-Detection:
Users that are interested in EBM-OOD-Detection are comparing it to the libraries listed below
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆41Updated 2 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 years ago
- ☆18Updated 3 years ago
- ☆31Updated 3 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆48Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆18Updated 2 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- ☆13Updated 2 years ago
- ☆33Updated 3 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆27Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 3 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 2 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆56Updated 3 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆20Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- ☆36Updated 4 years ago
- [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts☆18Updated 2 years ago
- Self-Supervised Domain Adaptation with Consistency Training☆19Updated 4 years ago
- ☆23Updated 3 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago