Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

Trustworthy AI: From Principles to Practices

(2022) Bo Li et al.   ACM COMPUTING SURVEYS

Understanding deep learning (still) requires rethinking generalization

(2021) Chiyuan Zhang et al.   COMMUNICATIONS OF THE ACM

Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis

(2021) Ceyuan Yang et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

(2021) Wojciech Samek et al.   PROCEEDINGS OF THE IEEE

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

(2020) Erico Tjoa et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

(2019) Taeho Jo et al.   Frontiers in Aging Neuroscience

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Learning dexterous in-hand manipulation

(2019) OpenAI: Marcin Andrychowicz et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Grandmaster level in StarCraft II using multi-agent reinforcement learning

(2019) Oriol Vinyals et al.   NATURE

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Ophthalmic diagnosis using deep learning with fundus images – A critical review

(2019) Sourya Sengupta et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

The mythos of model interpretability

(2018) Zachary C. Lipton   COMMUNICATIONS OF THE ACM

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

Top-Down Neural Attention by Excitation Backprop

(2017) Jianming Zhang et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection

(2017) Sergey Levine et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Deep learning for computational chemistry

(2017) Garrett B. Goh et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Explaining nonlinear classification decisions with deep Taylor decomposition

(2017) Grégoire Montavon et al.   PATTERN RECOGNITION

Evaluating the Visualization of What a Deep Neural Network Has Learned

(2017) Wojciech Samek et al.   IEEE Transactions on Neural Networks and Learning Systems

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE