Agnostic Learning with Unknown Utilities

Paul F. Christiano; John Schulman; Dan Mané

doi:https://doi.org/10.4230/lipics.concur.2020.3

Agnostic Learning with Unknown Utilities

2016 · arXiv (Cornell University) · 1,416 citations · 4 from inside this corpus

Paul F. Christiano low, John Schulman, Dan Mané low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

14 of 14 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Towards A Rigorous Science of Interpretable Machine Learning→Agnostic Learning with Unknown UtilitiesLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→Agnostic Learning with Unknown UtilitiesLegacy edge — source detail unavailable
Shortcut learning in deep neural networks→Agnostic Learning with Unknown UtilitiesLegacy edge — source detail unavailable
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning→Agnostic Learning with Unknown UtilitiesLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Intriguing properties of neural networksLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep LearningLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Fairness through awarenessLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Distant supervision for relation extraction without labeled dataLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Deep Speech 2: End-to-End Speech Recognition in English and MandarinLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…Legacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→High-Dimensional Continuous Control Using Generalized Advantage EstimationLegacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Reinforcement Learning:Legacy edge — source detail unavailable
Agnostic Learning with Unknown Utilities→Transfer Learning for Reinforcement Learning Domains: A SurveyLegacy edge — source detail unavailable
Towards A Rigorous Science of Interpretable Machine Learning→Fairness through awarenessLegacy edge — source detail unavailable
Towards A Rigorous Science of Interpretable Machine Learning→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
Shortcut learning in deep neural networks→Intriguing properties of neural networksLegacy edge — source detail unavailable
Shortcut learning in deep neural networks→Fairness through awarenessLegacy edge — source detail unavailable
Shortcut learning in deep neural networks→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→Towards A Rigorous Science of Interpretable Machine LearningLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→Shortcut learning in deep neural networksLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Mastering the game of Go with deep neural networks and tree search	2016	16,014
Intriguing properties of neural networks	2013	5,739
Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning	2015	4,187
Fairness through awareness	2012	3,476
Distant supervision for relation extraction without labeled data	2009	2,924
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	2,181
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…	2007	2,031
High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	1,746
Reinforcement Learning:	1998	1,575
Transfer Learning for Reinforcement Learning Domains: A Survey	2009	1,564

What cites it, inside the corpus

Paper	Year	Cited
Towards A Rigorous Science of Interpretable Machine Learning	2017	3,190
On the Opportunities and Risks of Foundation Models	2021	2,265
Shortcut learning in deep neural networks	2020	2,040
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning	2019	1,386

Links

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Topics

Adversarial Robustness in Machine Learning	Computer Science
Ethics and Social Impacts of AI	Social Sciences
Explainable Artificial Intelligence (XAI)	Computer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

supports3 author record(s) attached.
supports106 reference(s) recorded.
weakensThe DOI names 2020 but the record dates this to 2,016. One of the two is about a different paper.
supportsA title is present.

Provenance

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