jfc43 / robust-attribution-regularizationLinks
Robust Attribution Regularization
☆16Updated 3 years ago
Alternatives and similar repositories for robust-attribution-regularization
Users that are interested in robust-attribution-regularization are comparing it to the libraries listed below
Sorting:
- ☆38Updated 4 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- ☆50Updated 2 years ago
- ☆34Updated 4 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- ☆13Updated 7 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Updated 7 years ago
- ☆34Updated 6 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Updated 3 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- ☆24Updated last month
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- pytorch implementation of SOSELETO☆15Updated 5 years ago
- ☆65Updated 11 months ago
- ☆55Updated 4 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 6 years ago
- A supplementary code for Editable Neural Networks, an ICLR 2020 submission.☆46Updated 5 years ago
- ☆22Updated 2 years ago
- ICLR2020 Downloader & Search Tool☆18Updated 5 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- ☆62Updated 4 years ago