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Eric Horvitz
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Publications
- 2025
- [i103]Robert West, Ashton Anderson, Ece Kamar, Eric Horvitz:
Tandem Training for Language Models. CoRR abs/2510.13551 (2025) - 2023
- [i91]Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott M. Lundberg, Harsha Nori, Hamid Palangi, Marco Túlio Ribeiro, Yi Zhang:
Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR abs/2303.12712 (2023) - 2022
- [c255]Ya'akov (Kobi) Gal, Avi Segal
, Ece Kamar, Eric Horvitz, Chris J. Lintott, Mike Walmsley:
A new Workflow for Human-AI Collaboration in Citizen Science. GoodIT 2022: 89-95 - [i76]Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang:
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR abs/2212.10015 (2022) - 2021
- [c252]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI 2021: 11405-11414 - [c251]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR 2021: 12853-12862 - 2020
- [j63]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah:
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67: 191-234 (2020) - [c243]Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar:
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. CVPR 2020: 10000-10008 - [c240]Bryan Wilder, Eric Horvitz, Ece Kamar:
Learning to Complement Humans. IJCAI 2020: 1526-1533 - [c239]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD 2020: 3272-3280 - [i68]Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar:
SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. CoRR abs/2001.06927 (2020) - [i65]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i64]Bryan Wilder, Eric Horvitz, Ece Kamar:
Learning to Complement Humans. CoRR abs/2005.00582 (2020) - [i61]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR abs/2008.04572 (2020) - [i58]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR abs/2012.01750 (2020) - 2019
- [c236]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI 2019: 2429-2437 - [c235]Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz:
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI 2019: 6137-6145 - [c231]Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz:
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP 2019: 2-11 - [i54]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. CoRR abs/1906.01148 (2019) - 2018
- [c225]Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller:
Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. AAAI 2018: 1536-1544 - [c223]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. AAMAS 2018: 1017-1025 - [c221]Besmira Nushi, Ece Kamar, Eric Horvitz:
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP 2018: 126-135 - [i52]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. CoRR abs/1805.08966 (2018) - [i51]Besmira Nushi, Ece Kamar, Eric Horvitz:
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. CoRR abs/1809.07424 (2018) - 2017
- [c219]Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. AAAI 2017: 1017-1025 - [c218]Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz:
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. AAAI 2017: 2124-2132 - [c210]Sean Andrist, Dan Bohus, Ece Kamar, Eric Horvitz:
What Went Wrong and Why? Diagnosing Situated Interaction Failures in the Wild. ICSR 2017: 293-303 - 2016
- [c207]Shayan Doroudi
Toward a Learning Science for Complex Crowdsourcing Tasks. CHI 2016: 2623-2634 - [c204]Avi Segal, Ya'akov (Kobi) Gal, Ece Kamar, Eric Horvitz, Alex Bowyer, Grant Miller:
Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments. IJCAI 2016: 3861-3867 - [c203]Cathy Wu, Ece Kamar, Eric Horvitz:
Clustering for set partitioning with a case study in ridesharing. ITSC 2016: 1384-1388 - [c202]Cathy Wu, Kalyanaraman Shankari, Ece Kamar, Randy H. Katz, David E. Culler, Christos H. Papadimitriou, Eric Horvitz, Alexandre M. Bayen:
Optimizing the diamond lane: A more tractable carpool problem and algorithms. ITSC 2016: 1389-1396 - [i41]Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz:
Discovering Blind Spots of Predictive Models: Representations and Policies for Guided Exploration. CoRR abs/1610.09064 (2016) - [i40]Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. CoRR abs/1611.08309 (2016) - 2015
- [c199]Ece Kamar, Eric Horvitz:
Planning for Crowdsourcing Hierarchical Tasks. AAMAS 2015: 1191-1199 - [c195]Ece Kamar, Ashish Kapoor, Eric Horvitz:
Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. HCOMP 2015: 92-101 - [c192]Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz:
Metareasoning for Planning Under Uncertainty. IJCAI 2015: 1601-1609 - [i37]Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz:
Metareasoning for Planning Under Uncertainty. CoRR abs/1505.00399 (2015) - 2014
- [c186]Adish Singla
Stochastic Privacy. AAAI 2014: 152-158 - [c185]Christopher H. Lin, Ece Kamar, Eric Horvitz:
Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing. AAAI 2014: 908-915 - [c183]Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor:
Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. AAMAS 2014: 1101-1108 - [i34]Adish Singla, Eric Horvitz, Ece Kamar, Ryen White:
Stochastic Privacy. CoRR abs/1404.5454 (2014) - 2013
- [c173]Ece Kamar, Eric Horvitz:
Light at the end of the tunnel: a Monte Carlo approach to computing value of information. AAMAS 2013: 571-578 - [c169]Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E. Schwamb, Chris J. Lintott, Arfon M. Smith:
Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing. HCOMP 2013: 94-102 - [c168]Andrew Mao, Ece Kamar, Eric Horvitz:
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. HCOMP 2013: 103-111 - [c164]Ece Kamar, Ashish Kapoor, Eric Horvitz:
Lifelong Learning for Acquiring the Wisdom of the Crowd. IJCAI 2013: 2313-2320 - [c163]Stephanie Rosenthal, Dan Bohus, Ece Kamar, Eric Horvitz:
Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence. IJCAI 2013: 2561-2567 - 2012
- [c152]Ece Kamar, Severin Hacker, Eric Horvitz:
Combining human and machine intelligence in large-scale crowdsourcing. AAMAS 2012: 467-474 - [c150]Ece Kamar, Eric Horvitz:
Incentives for truthful reporting in crowdsourcing. AAMAS 2012: 1329-1330 - [c143]Dan Bohus, Ece Kamar, Eric Horvitz:
Towards Situated Collaboration. SDCTD@NAACL-HLT 2012: 13-14 - [c139]William Yang Wang, Dan Bohus, Ece Kamar, Eric Horvitz:
Crowdsourcing the acquisition of natural language corpora: Methods and observations. SLT 2012: 73-78 - 2011
- [c135]Ece Kamar, Eric Horvitz:
Jogger: models for context-sensitive reminding. AAMAS 2011: 1089-1090 - 2009
- [c111]Ece Kamar, Eric Horvitz:
Collaboration and Shared Plans in the Open World: Studies of Ridesharing. IJCAI 2009: 187 - 2008
- [c104]Ece Kamar, Eric Horvitz, Christopher Meek:
Mobile opportunistic commerce: mechanisms, architecture, and application. AAMAS (2) 2008: 1087-1094
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last updated on 2025-11-13 22:10 CET by the dblp team
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