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Platform for Situated Intelligence


Mar 29, 2021
Dan Bohus, Sean Andrist, Ashley Feniello, Nick Saw, Mihai Jalobeanu, Patrick Sweeney, Anne Loomis Thompson, Eric Horvitz

* 29 pages, 14 figures, Microsoft Research Technical Report 

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Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study


Feb 17, 2021
Kristina Gligorić, Ryen W. White, Emre Kıcıman, Eric Horvitz, Arnaud Chiolero, Robert West

* Proc. ACM Hum.-Comput. Interact.5, CSCW1, Article 184 (April 2021) 

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Understanding Failures of Deep Networks via Robust Feature Extraction


Dec 03, 2020
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz


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Extracting a Knowledge Base of Mechanisms from COVID-19 Papers


Oct 08, 2020
Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi

* Tom Hope and Aida Amini made an equal contribution as joint first authors, listed in alphabetical order. Data and code: https://git.io/JUhv7 

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An Empirical Analysis of Backward Compatibility in Machine Learning Systems


Aug 11, 2020
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz

* KDD 2020, 9 pages, 7 figures 

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SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search


May 27, 2020
Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West

* http://scisight.apps.allenai.org/ 

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Learning to Complement Humans


May 01, 2020
Bryan Wilder, Eric Horvitz, Ece Kamar

* Accepted at IJCAI 2020 

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Optimizing AI for Teamwork


Apr 27, 2020
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld

* Pre-print/Draft 

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SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions


Jan 20, 2020
Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar


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Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting


Jun 23, 2019
Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon


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A Case for Backward Compatibility for Human-AI Teams


Jun 04, 2019
Gagan Bansal, Besmira Nushi, Ece Kamar, Dan Weld, Walter Lasecki, Eric Horvitz

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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Efficient Forward Architecture Search


May 31, 2019
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey

* preprint 

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Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations


May 12, 2019
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz

* 12 pages, 7 figures, 2 tables 

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Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"


Jan 10, 2019
Robert West, Eric Horvitz

* Proceedings of the 33rd AAAI Conference on Artificial Intelligence, 2019 

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Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure


Sep 19, 2018
Besmira Nushi, Ece Kamar, Eric Horvitz

* AAAI Conference on Human Computation and Crowdsourcing 2018 

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Discovering Blind Spots in Reinforcement Learning


May 23, 2018
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie Shah, Eric Horvitz

* To appear at AAMAS 2018 

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Active Learning amidst Logical Knowledge


Sep 26, 2017
Emmanouil Antonios Platanios, Ashish Kapoor, Eric Horvitz


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Advances in Artificial Intelligence Require Progress Across all of Computer Science


Jul 13, 2017
Gregory D. Hager, Randal Bryant, Eric Horvitz, Maja Mataric, Vasant Honavar

* 7 pages, Computing Community Consortium White Paper 

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Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach


May 19, 2017
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz


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Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration


Dec 10, 2016
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz

* To appear in AAAI 2017; Presented at NIPS Workshop on Reliability in ML, 2016 

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Long-Term Trends in the Public Perception of Artificial Intelligence


Dec 02, 2016
Ethan Fast, Eric Horvitz

* In AAAI 2017 

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On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems


Nov 24, 2016
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann

* 11 pages, Thirty-First AAAI conference on Artificial Intelligence 

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Identifying Dogmatism in Social Media: Signals and Models


Sep 01, 2016
Ethan Fast, Eric Horvitz

* EMNLP 2016 

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Learning to Hire Teams


Aug 12, 2015
Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause

* Short version of this paper will appear in HCOMP'15 

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Information Gathering in Networks via Active Exploration


May 06, 2015
Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause

* Longer version of IJCAI'15 paper 

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Metareasoning for Planning Under Uncertainty


May 03, 2015
Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz

* Extended version of IJCAI 2015 paper 

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Inferring and Learning from Neuronal Correspondences


Jan 27, 2015
Ashish Kapoor, E. Paxon Frady, Stefanie Jegelka, William B. Kristan, Eric Horvitz


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Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (1996)


Aug 28, 2014
Eric Horvitz, Finn Jensen


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Stochastic Privacy


Apr 22, 2014
Adish Singla, Eric Horvitz, Ece Kamar, Ryen White


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