GeJulia / robustness_confidences_evaluationLinks
Official repository for our paper Robust Models are less Over-Confident
☆20Updated 4 months ago
Alternatives and similar repositories for robustness_confidences_evaluation
Users that are interested in robustness_confidences_evaluation are comparing it to the libraries listed below
Sorting:
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts☆19Updated 2 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- ☆33Updated 4 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated 2 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- ☆85Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆75Updated 3 years ago
- ☆42Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- ☆36Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆36Updated 10 months ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆36Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆93Updated 4 years ago
- Revisiting Test Time Adaptation Under Online Evaluation☆33Updated last year
- ☆66Updated 2 years ago
- [TKDE 2024, CIKM 2022] SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.☆39Updated 6 months ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- Code and instructions accompanying ICCV'23 paper Protoype-based Dataset Comparison☆18Updated last year
- ☆31Updated 2 months ago
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Updated 2 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"☆13Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago