Interpreting Generative Adversarial Networks for Interactive Image Generation
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2022 |
Zhou, Bolei |
XAI and Strategy Extraction via Reward Redistribution
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2022 |
Dinu, Marius-Constantin |
Beyond the Visual Analysis of Deep Model Saliency
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2022 |
Bargal, Sarah Adel |
A Whale’s Tail - Finding the Right Whale in an Uncertain World
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2022 |
Marcos, Diego |
ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
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2022 |
Becking, Daniel |
xxAI - Beyond Explainable Artificial Intelligence
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2022 |
Holzinger, Andreas |
Explainable AI Methods - A Brief Overview
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2022 |
Holzinger, Andreas |
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
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2022 |
Salewski, Leonard |
Towards Causal Algorithmic Recourse
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2022 |
Karimi, Amir-Hossein |
Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science
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2022 |
Mamalakis, Antonios |
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
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2022 |
Molnar, Christoph |
Explaining the Predictions of Unsupervised Learning Models
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2022 |
Montavon, Gregoire |
Towards Explainability for AI Fairness
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2022 |
Zhou, Jianlong |
Logic and Pragmatics in AI Explanation
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2022 |
Tsai, Chun-Hua |
A Rate-Distortion Framework for Explaining Black-Box Model Decisions
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2022 |
Kolek, Stefan |
Interpretable, Verifiable, and Robust Reinforcement Learning via Program Synthesis
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2022 |
Bastani, Osbert |
Interpreting and Improving Deep-Learning Models with Reality Checks
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2022 |
Singh, Chandan |
Varieties of AI Explanations Under the Law. From the GDPR to the AIA, and Beyond
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2022 |
Hacker, Philipp |