CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations (English)
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- New search for: Koepke, A. Sophia
- New search for: Lensch, Hendrik P. A.
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- New search for: Salewski, Leonard
- New search for: Koepke, A. Sophia
- New search for: Lensch, Hendrik P. A.
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In:
xxAI - beyond explainable AI
; 69 -90
;
2022
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ISBN:
- Conference paper / Print
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Title:CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
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Contributors:Salewski, Leonard ( author ) / Koepke, A. Sophia ( author ) / Lensch, Hendrik P. A. ( author ) / Akata, Zeynep ( author )
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Conference:xxAI ; 2020 ; Online
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Published in:xxAI - beyond explainable AI ; 69 -90
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Publisher:
- New search for: Springer
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Place of publication:Cham
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Publication date:2022
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ISBN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
- New search for: 54.72
- Further information on Basic classification
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Keywords:
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Classification:
BKL: 54.72 Künstliche Intelligenz -
Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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xxAI - Beyond Explainable Artificial IntelligenceHolzinger, Andreas / Goebel, Randy / Fong, Ruth / Moon, Taesup / Müller, Klaus-Robert / Samek, Wojciech et al. | 2022
- 13
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Explainable AI Methods - A Brief OverviewHolzinger, Andreas / Saranti, Anna / Molnar, Christoph / Biecek, Przemyslaw / Samek, Wojciech et al. | 2022
- 39
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General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning ModelsMolnar, Christoph / König, Gunnar / Herbinger, Julia / Freiesleben, Timo / Dandl, Susanne / Scholbeck, Christian A. / Casalicchio, Giuseppe / Grosse-Wentrup, Moritz / Bischl, Bernd et al. | 2022
- 69
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CLEVR-X: A Visual Reasoning Dataset for Natural Language ExplanationsSalewski, Leonard / Koepke, A. Sophia / Lensch, Hendrik P. A. / Akata, Zeynep et al. | 2022
- 91
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A Rate-Distortion Framework for Explaining Black-Box Model DecisionsKolek, Stefan / Nguyen, Duc Anh / Levie, Ron / Bruna, Joan / Kutyniok, Gitta et al. | 2022
- 117
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Explaining the Predictions of Unsupervised Learning ModelsMontavon, Gregoire / Kauffmann, Jacob / Samek, Wojciech / Müller, Klaus-Robert et al. | 2022
- 139
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Towards Causal Algorithmic RecourseKarimi, Amir-Hossein / Kügelgen, Julius von / Schölkopf, Bernhard / Valera, Isabel et al. | 2022
- 167
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Interpreting Generative Adversarial Networks for Interactive Image GenerationZhou, Bolei et al. | 2022
- 177
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XAI and Strategy Extraction via Reward RedistributionDinu, Marius-Constantin / Hofmarcher, Markus / Patıil, Vihang P. / Dorfer, Matthias / Blies, Patrick M. / Brandstetter, Johannes / Arjona-Medina, Jose A. / Hochreiter, Sepp et al. | 2022
- 207
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Interpretable, Verifiable, and Robust Reinforcement Learning via Program SynthesisBastani, Osbert / Inala, Jeevana Priya / Solar-Lezama, Armando et al. | 2022
- 229
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Interpreting and Improving Deep-Learning Models with Reality ChecksSingh, Chandan / Ha, Wooseok / Yu, Bin et al. | 2022
- 255
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Beyond the Visual Analysis of Deep Model SaliencyBargal, Sarah Adel / Zunino, Andrea / Petsiuk, Vitali / Zhang, Jianming / Murino, Vittorio / Sclaroff, Stan / Saenko, Kate et al. | 2022
- 271
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ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNsBecking, Daniel / Dreyer, Maximilian / Samek, Wojciech / Müller, Karsten / Lapuschkin, Sebastian et al. | 2022
- 297
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A Whale’s Tail - Finding the Right Whale in an Uncertain WorldMarcos, Diego / Kierdorf, Jana / Cheeseman, Ted / Tula, Devis / Roscher, Ribana et al. | 2022
- 315
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Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New ScienceMamalakis, Antonios / Ebert-Uphoff, Imme / Barnes, Elizabeth A. et al. | 2022
- 343
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Varieties of AI Explanations Under the Law. From the GDPR to the AIA, and BeyondHacker, Philipp / Passoth, Jan-Hendrik et al. | 2022
- 375
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Towards Explainability for AI FairnessZhou, Jianlong / Chen, Fang / Holzinger, Andreas et al. | 2022
- 387
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Logic and Pragmatics in AI ExplanationTsai, Chun-Hua / Carroll, John M. et al. | 2022