lisa-wm / entropybaseduqLinks
☆10Updated 2 months ago
Alternatives and similar repositories for entropybaseduq
Users that are interested in entropybaseduq are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- Analysis of evidential models☆13Updated 2 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated last year
- Test-Time Adaptation via Conjugate Pseudo-Labels☆41Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"☆13Updated 9 months ago
- Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…☆10Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆49Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆35Updated 10 months ago
- [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization☆30Updated 8 months ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆35Updated 2 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆16Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆45Updated 7 months ago
- ☆39Updated last year
- [ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classifi…☆21Updated 2 months ago
- A collection of model transferability estimation methods.☆28Updated 8 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆78Updated last year
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆47Updated 3 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆61Updated last year
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆28Updated 2 months ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆103Updated last year
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year
- ☆26Updated 2 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 11 months ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago