nesl / Explainability-StudyLinks
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
☆23Updated 4 years ago
Alternatives and similar repositories for Explainability-Study
Users that are interested in Explainability-Study are comparing it to the libraries listed below
Sorting:
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 6 years ago
- Parameter-Space Saliency Maps for Explainability☆23Updated 2 years ago
- ☆46Updated 6 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆99Updated 3 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
- Implementation of Information Dropout☆39Updated 8 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- [CogSci'21] Study of human inductive biases in CNNs and Transformers.☆43Updated 4 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- ☆25Updated 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
- ☆34Updated 6 years ago
- PyTorch implementation of SmoothTaylor☆15Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 3 years ago
- ☆84Updated last year
- ☆34Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 2 months ago
- Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).☆22Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- A simple algorithm to identify and correct for label shift.☆22Updated 7 years ago
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Updated 5 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- ☆95Updated 2 years ago