lisa-wm / entropybaseduqLinks
☆11Updated 6 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
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆51Updated 2 years ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆36Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆42Updated 2 years ago
- Analysis of evidential models☆14Updated 2 years ago
- source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"☆13Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆39Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)☆13Updated 5 months ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆55Updated 6 months ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆26Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- ☆109Updated 4 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated last year
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Updated 2 years ago
- ☆67Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization☆31Updated 11 months ago
- Official repository of paper titled "D3Former: Debiased Dual Distilled Transformer for Incremental Learning".☆25Updated 2 years ago
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆27Updated 6 months ago
- ☆39Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆23Updated 2 years ago
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated last year
- Large-scale uncertainty benchmark in deep learning.☆63Updated 4 months ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆100Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆113Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆52Updated 2 years ago