igeood / IgeoodLinks
Anonymized code for Igeood: An Information Geometry Approach to Out-of-Distribution Detection
☆12Updated 3 years ago
Alternatives and similar repositories for Igeood
Users that are interested in Igeood are comparing it to the libraries listed below
Sorting:
- Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap☆28Updated 3 weeks ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- Code for the paper "Unbiased Supervised Contrastive Learning" | ICLR 2023 https://openreview.net/forum?id=Ph5cJSfD2XN☆13Updated 2 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- ☆23Updated last year
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated 2 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Updated last year
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- ☆26Updated 2 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆26Updated 2 years ago
- ☆58Updated 2 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 3 years ago
- NeurIPS 2020, "A Topological Filter for Learning with Label Noise".☆30Updated 6 months ago
- PyTorch Implementation of MIMO (ICLR 2021)☆16Updated 2 years ago
- ☆22Updated 3 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- ☆44Updated 6 months ago
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Updated last year
- GitHub repository of the ICLR 2023 paper "Neural Architecture Design and Robustness: A Dataset"☆15Updated 2 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated 2 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago
- Official repository for our paper Robust Models are less Over-Confident☆20Updated 7 months ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- Transformers trained on Tiny ImageNet☆58Updated 2 months ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport☆30Updated 3 years ago