datamllab / xdeep
☆44Updated 4 years ago
Alternatives and similar repositories for xdeep:
Users that are interested in xdeep are comparing it to the libraries listed below
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Interpretation of Neural Network is Fragile☆36Updated last year
- ☆125Updated 3 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 5 years ago
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 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
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Updated 6 years ago
- Python codes for influential instance estimation☆55Updated 2 years ago
- ☆38Updated 3 years ago
- Adversarial learning by utilizing model interpretation☆10Updated 6 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- ☆50Updated 2 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆65Updated 4 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 5 years ago
- A supplementary code for Editable Neural Networks, an ICLR 2020 submission.☆46Updated 5 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 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
- Self-Explaining Neural Networks☆13Updated last year
- ☆35Updated last year
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago