GDPlumb / ExpO
Explanation Optimization
☆13Updated 4 years ago
Alternatives and similar repositories for ExpO:
Users that are interested in ExpO are comparing it to the libraries listed below
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- ☆39Updated 3 years ago
- Post-processing for fair classification☆13Updated last month
- ☆30Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆18Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 10 months ago
- This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)☆12Updated 2 years ago
- ☆44Updated 2 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 2 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆55Updated last year
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'☆18Updated 2 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- ☆35Updated last year
- ☆20Updated 4 years ago
- ☆12Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated last year
- ☆17Updated 2 years ago
- ☆34Updated 3 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- Domain Adaptation as a Problem of Inference on Graphical Models☆29Updated 4 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 5 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆16Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆13Updated 2 years ago