dengbaowang / Rethinking-Calibration-of-Deep-Neural-NetworksLinks
☆15Updated 4 years ago
Alternatives and similar repositories for Rethinking-Calibration-of-Deep-Neural-Networks
Users that are interested in Rethinking-Calibration-of-Deep-Neural-Networks are comparing it to the libraries listed below
Sorting:
- This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…☆17Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆64Updated 3 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆105Updated 2 years ago
- ☆16Updated 3 years ago
- Self-Supervised Dataset Distillation for Transfer Learning☆16Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 4 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- ☆49Updated 3 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆27Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆49Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆56Updated 3 years ago
- A collection of model transferability estimation methods.☆32Updated last year
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆23Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆47Updated 2 years ago
- ☆71Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆42Updated 2 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 3 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆52Updated 2 years ago
- ☆26Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- ☆44Updated 3 months ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago