zeroshot-ood / ood-detectionLinks
Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"
☆13Updated 5 years ago
Alternatives and similar repositories for ood-detection
Users that are interested in ood-detection are comparing it to the libraries listed below
Sorting:
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆62Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆15Updated 6 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆34Updated 4 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 3 years ago
- ☆24Updated 3 months ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods☆23Updated 4 years ago
- Notes and codes of the topic "Bayesian deep learning"☆56Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- An uncertainty-based random sampling algorithm for data augmentation☆30Updated 4 years ago
- Kaggle Heritage Health Prize Challenge☆19Updated last year
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- ☆13Updated 7 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Self-Explaining Neural Networks☆42Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 2 months ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for AAAI 2019 Network Interpretability workshop paper☆16Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- ☆38Updated 4 years ago
- Code for "Interpretable Image Recognition with Hierarchical Prototypes"☆18Updated 5 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago