mlomnitz / tcav_pytorchLinks
Pytorch implementation of Google TCAV
☆10Updated 6 years ago
Alternatives and similar repositories for tcav_pytorch
Users that are interested in tcav_pytorch are comparing it to the libraries listed below
Sorting:
- Quantitative Testing with Concept Activation Vectors in PyTorch☆43Updated 6 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
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆187Updated 3 years ago
- ☆112Updated 2 years ago
- Towards Automatic Concept-based Explanations☆161Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 8 months ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Updated 3 years ago
- Information Bottlenecks for Attribution☆82Updated 2 years ago
- ☆51Updated 5 years ago
- ☆69Updated 6 years ago
- Full-gradient saliency maps☆212Updated 2 years ago
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- ☆66Updated 5 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆101Updated 3 years ago
- Code for the intrinsic dimensionality estimate of data representations☆84Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆286Updated 2 years ago
- Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent☆12Updated 4 years ago
- Basic LRP implementation in PyTorch☆171Updated last year
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆346Updated 5 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 3 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- Self-Explaining Neural Networks☆13Updated 2 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆104Updated 5 years ago