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Interpretability and Analysis of Models for NLP
An in-depth look at interpretability and analysis of models for NLP (ACL 2020).
interpretability natural-language-processing acl-2020 article
CNN Explainer
CNN Explainer uses TensorFlow.js, an in-browser GPU-accelerated deep learning library to load the pretrained model for visualization.
convolutional-neural-networks tensorflow-js interactive interpretability
ExplainX
ExplainX is an explainable AI framework for data scientists to explain any black-box model behavior to business stakeholders.
interpretability explainx video code
Interpretability in ML: A Broad Overview
An overview of the sub-field of machine learning interpretability, with example models and graphics.
interpretability machine-learning code article
BERTology Meets Biology
Interpreting Attention in Protein Language Models.
bert healthcare biology health
GANSpace: Discovering Interpretable GAN Controls
This paper describes a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis.
generative-adversarial-networks image-generation interpretability interpretable-gans
Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
Lda2vec: Tools for interpreting natural language
The lda2vec model tries to mix the best parts of word2vec and LDA into a single framework.
topic-modeling latent-dirichlet-allocation word2vec embeddings
Principles and Practice of Explainable Machine Learning
A survey to help industry practitioners understand the field of explainable machine learning better and apply the right tools.
interpretability explainability survey paper
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