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Commits on Apr 23, 2021

• Update dead link to ExplainExplore paper (pbiecek#12)

  iamDecode

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Commits on Oct 29, 2020

• A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers

  pbiecek

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• adding new reference (pbiecek#11)

  peymanrasouli

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Commits on Aug 26, 2020

• Update README.md (pbiecek#9)

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  ms8909

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• add new reference on GRACE paper, KDD 2020 (pbiecek#8)

  lethaiq

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Commits on Jun 16, 2020

• ExplainExplore: Visual Exploration of Machine Learning Explanation (pbiecek#6)

  iamDecode

  authored
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Commits on Apr 24, 2020

• fix

  pbiecek

  committed
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• two more papers from Sokol and Flach

  pbiecek

  committed
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• One Explanation Does Not Fit All

  pbiecek

  committed
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Commits on Apr 7, 2020

• LIRME: Locally Interpretable Ranking Model Explanation

  pbiecek

  committed
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• Adaptive Explainable Neural Networks

  pbiecek

  committed
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Commits on Apr 2, 2020

• Information Leakage in Embedding Models

  pbiecek

  committed
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Commits on Mar 25, 2020

• Robustness and Explainability of Artificial Intelligence

  pbiecek

  committed
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Commits on Mar 10, 2020

• Are Sixteen Heads Really Better than One

  pbiecek

  committed
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• Revealing the Dark Secrets of BERT

  pbiecek

  committed
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Commits on Mar 3, 2020

• smaller figure

  pbiecek

  committed
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• Explanation in Artificial Intelligence: Insights from the Social Sciences

  pbiecek

  committed
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Commits on Feb 18, 2020

• Closing the AI Accountability Gap [FAT20]

  pbiecek

  committed
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• AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning

  pbiecek

  committed
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• tools: https://github.com/EthicalML/xai

  pbiecek

  authored
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Commits on Feb 4, 2020

• Explaining the Explainer: A First Theoretical Analysis of LIME

  pbiecek

  committed
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• Randomized Ablation Feature Importance + CONFIDENCE INTERVALS

  pbiecek

  committed
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• Feature Impact for Prediction Explanation

  pbiecek

  committed
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• typo

  pbiecek

  committed
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• Explainable AI for Trees: From Local Explanations to Global Understanding

  pbiecek

  committed
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• AIX360 by IBM: One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

  pbiecek

  committed
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Commits on Dec 31, 2019

• Feature importance method with the use of Ghost Variables (interesting concept to deal with correlation)

  pbiecek

  committed
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Commits on Dec 17, 2019

• More about human in XAI

  pbiecek

  authored
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Commits on Dec 10, 2019

• Add new resources (pbiecek#5)

  

  AgaMiko

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  pbiecek

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Commits on Nov 26, 2019

• AI Black Box Horror Stories

  pbiecek

  committed
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Commits on Nov 16, 2019

• Added papers, one book and link to github repo (pbiecek#4)

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  AgaMiko

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  pbiecek

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Commits on Oct 7, 2019

• The Bouncer Problem: Challenges to Remote Explainability

  pbiecek

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Commits on Sep 24, 2019

• Artificial Intelligence Confronts a 'Reproducibility' Crisis

  pbiecek

  committed
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Commits on Sep 18, 2019

• Model explainers and the press secretary — directly optimizing for trust in machine learning may be harmful

  pbiecek

  authored
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• Shapley Decomposition of R-Squared in Machine Learning Models

  pbiecek

  authored
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