Ece Kamar - RankMe

123 papers A* 33A 11B 12C 3Journal 47Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Tandem Training for Language Models. EACL (Volume 1: Long Papers) Robert West, Ashton Anderson, Ece Kamar, Eric Horvitz
2025	J	`jnl`	Magentic-UI: Towards Human-in-the-loop Agentic Systems. CoRR Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
2025	J	`jnl`	Tandem Training for Language Models. CoRR Robert West, Ashton Anderson, Ece Kamar, Eric Horvitz
2025	J	`jnl`	The Collaboration Gap. CoRR Tim R. Davidson, Adam Fourney, Saleema Amershi, Robert West, Eric Horvitz, Ece Kamar
2024	A*	`conf`	Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
2024	J	`jnl`	Challenging the Machine: Contestability in Government AI Systems. CoRR Susan Landau, James X. Dempsey, Ece Kamar, Steven M. Bellovin, Robert Pool
2024	J	`jnl`	Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks. CoRR Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi
2024	J	`jnl`	Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals. CoRR Susan Landau, James X. Dempsey, Ece Kamar, Steven M. Bellovin
2024	A*	`conf`	Teaching Language Models to Hallucinate Less with Synthetic Tasks. ICLR Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar
2023	J	`jnl`	Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
2023	—	`conf`	Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. ACL (1) John Joon Young Chung, Ece Kamar, Saleema Amershi
2023	J	`jnl`	Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. CoRR John Joon Young Chung, Ece Kamar, Saleema Amershi
2023	J	`jnl`	Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR 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
2023	J	`jnl`	Teaching Language Models to Hallucinate Less with Synthetic Tasks. CoRR Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Awadallah, Ece Kamar
2022	—	`conf`	A new Workflow for Human-AI Collaboration in Citizen Science. GoodIT Ya'akov (Kobi) Gal, Avi Segal, Ece Kamar, Eric Horvitz, Chris J. Lintott, Mike Walmsley
2022	J	`jnl`	Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller
2022	J	`jnl`	Avoiding Negative Side Effects of Autonomous Systems in the Open World. J. Artif. Intell. Res. Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
2022	J	`jnl`	Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
2022	A*	`conf`	Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
2022	J	`jnl`	Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
2022	—	`conf`	ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. ACL (1) Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
2022	J	`jnl`	ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. CoRR Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
2021	J	`jnl`	A Bayesian Approach to Identifying Representational Errors. CoRR Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah
2021	J	`jnl`	Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems. AI Mag. Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
2021	C	`conf`	Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. AIES Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach
2021	J	`jnl`	Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. CoRR Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach
2021	—	`conf`	Designing an Online Infrastructure for Collecting AI Data From People With Disabilities. FAccT Joon Sung Park, Danielle Bragg, Ece Kamar, Meredith Ringel Morris
2021	A*	`conf`	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CHI Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2021	A*	`conf`	Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions. AAAI Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis
2021	A*	`conf`	Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
2021	B	`ed.`	Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, virtual, November 14-18, 2021. HCOMP Ece Kamar, Kurt Luther
2021	A*	`conf`	Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
2021	C	`conf`	Understanding the Representation and Representativeness of Age in AI Data Sets. AIES Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris
2021	J	`jnl`	Understanding the Representation and Representativeness of Age in AI Data Sets. CoRR Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris
2020	A*	`conf`	A Multi-Objective Approach to Mitigate Negative Side Effects. IJCAI Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
2020	A*	`conf`	An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
2020	J	`jnl`	An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
2020	J	`jnl`	Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems. CoRR Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
2020	J	`jnl`	Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah
2020	J	`jnl`	Can I Still Trust You?: Understanding the Impact of Distribution Shifts on Algorithmic Recourses. CoRR Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju
2020	A*	`conf`	Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism. CHI Keri Mallari, Kori Inkpen, Paul Johns, Sarah Tan, Divya Ramesh, Ece Kamar
2020	J	`jnl`	Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism. CoRR Keri Mallari, Kori Inkpen, Paul Johns, Sarah Tan, Divya Ramesh, Ece Kamar
2020	J	`jnl`	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2020	A*	`conf`	Learning to Complement Humans. IJCAI Bryan Wilder, Eric Horvitz, Ece Kamar
2020	J	`jnl`	Learning to Complement Humans. CoRR Bryan Wilder, Eric Horvitz, Ece Kamar
2020	A	`conf`	Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. AAMAS Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
2020	J	`jnl`	Optimizing AI for Teamwork. CoRR Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
2020	J	`jnl`	Personalization in Human-AI Teams: Improving the Compatibility-Accuracy Tradeoff. CoRR Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis
2020	J	`jnl`	SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. CoRR Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar
2020	A*	`conf`	SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. CVPR Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar
2020	J	`jnl`	Security and Machine Learning in the Real World. CoRR Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
2020	A*	`conf`	Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract). AAAI Zheng Wang, Bruno D. Abrahao, Ece Kamar
2020	J	`jnl`	Toward fairness in AI for people with disabilities SBG@a research roadmap. ACM SIGACCESS Access. Comput. Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna M. Wallach, Meredith Ringel Morris
2020	A*	`conf`	Towards Hybrid Human-AI Workflows for Unknown Unknown Detection. WWW Anthony Z. Liu, Santiago Guerra, Isaac Fung, Gabriel Matute, Ece Kamar, Walter S. Lasecki
2020	J	`jnl`	Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
2019	J	`jnl`	A Case for Backward Compatibility for Human-AI Teams. CoRR Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
2019	B	`conf`	Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz
2019	C	`conf`	Faithful and Customizable Explanations of Black Box Models. AIES Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec
2019	J	`jnl`	Machine behaviour. Nat. Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman
2019	B	`conf`	Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. HCOMP Shayan Doroudi, Ece Kamar, Emma Brunskill
2019	A*	`conf`	Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
2019	—	`conf`	Software engineering for machine learning: a case study. ICSE (SEIP) Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann
2019	A*	`conf`	Studying Preferences and Concerns about Information Disclosure in Email Notifications. WWW Yongsung Kim, Adam Fourney, Ece Kamar
2019	J	`jnl`	Toward Fairness in AI for People with Disabilities: A Research Roadmap. CoRR Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna M. Wallach, Meredith Ringel Morris
2019	A*	`conf`	Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
2019	B	`conf`	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
2019	J	`jnl`	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. CoRR Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
2018	A	`conf`	Discovering Blind Spots in Reinforcement Learning. AAMAS Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
2018	J	`jnl`	Discovering Blind Spots in Reinforcement Learning. CoRR Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
2018	A*	`conf`	Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing. IJCAI Elliot Salisbury, Ece Kamar, Meredith Ringel Morris
2018	J	`jnl`	Investigating Human + Machine Complementarity for Recidivism Predictions. CoRR Sarah Tan, Julius Adebayo, Kori Inkpen, Ece Kamar
2018	A*	`conf`	Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. AAAI Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller
2018	J	`jnl`	Studying Preferences and Concerns about Information Disclosure in Email Notifications. CoRR Yongsung Kim, Adam Fourney, Ece Kamar
2018	B	`conf`	Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP Besmira Nushi, Ece Kamar, Eric Horvitz
2018	J	`jnl`	Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. CoRR Besmira Nushi, Ece Kamar, Eric Horvitz
2017	A	`conf`	Communicating Context to the Crowd for Complex Writing Tasks. CSCW Niloufar Salehi, Jaime Teevan, Shamsi T. Iqbal, Ece Kamar
2017	—	`conf`	Complementing the Execution of AI Systems with Human Computation. AAAI Workshops Ece Kamar, Lydia Manikonda
2017	B	`conf`	CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. HCOMP Harmanpreet Kaur, Mitchell L. Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, Walter S. Lasecki
2017	—	`conf`	Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha
2017	A*	`conf`	Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. AAAI Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz
2017	J	`jnl`	Interpretable & Explorable Approximations of Black Box Models. CoRR Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec
2017	A*	`conf`	On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. AAAI Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
2017	A*	`conf`	Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets. CHI Joseph Chee Chang, Saleema Amershi, Ece Kamar
2017	B	`conf`	Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind. HCOMP Elliot Salisbury, Ece Kamar, Meredith Ringel Morris
2017	B	`conf`	What Went Wrong and Why? Diagnosing Situated Interaction Failures in the Wild. ICSR Sean Andrist, Dan Bohus, Ece Kamar, Eric Horvitz
2016	—	`conf`	Clustering for set partitioning with a case study in ridesharing. ITSC Cathy Wu, Ece Kamar, Eric Horvitz
2016	A*	`conf`	Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence. IJCAI Ece Kamar
2016	J	`jnl`	Discovering Blind Spots of Predictive Models: Representations and Policies for Guided Exploration. CoRR Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz
2016	A	`conf`	HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration). AAMAS Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe
2016	J	`jnl`	Hybrid workplaces of the future. XRDS Ece Kamar
2016	A*	`conf`	Interactive Teaching Strategies for Agent Training. IJCAI Ofra Amir, Ece Kamar, Andrey Kolobov, Barbara J. Grosz
2016	A*	`conf`	Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments. IJCAI Avi Segal, Ya'akov (Kobi) Gal, Ece Kamar, Eric Horvitz, Alex Bowyer, Grant Miller
2016	J	`jnl`	On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. CoRR Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
2016	—	`conf`	Optimizing the diamond lane: A more tractable carpool problem and algorithms. ITSC Cathy Wu, Kalyanaraman Shankari, Ece Kamar, Randy H. Katz, David E. Culler, Christos H. Papadimitriou, Eric Horvitz, Alexandre M. Bayen
2016	—	`conf`	POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges. AAMAS Workshops (Visionary Papers) Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe
2016	A*	`conf`	Toward a Learning Science for Complex Crowdsourcing Tasks. CHI Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz
2015	B	`conf`	Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. HCOMP Ece Kamar, Ashish Kapoor, Eric Horvitz
2015	A*	`conf`	Metareasoning for Planning Under Uncertainty. IJCAI Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz
2015	J	`jnl`	Metareasoning for Planning Under Uncertainty. CoRR Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz
2015	A	`conf`	Planning for Crowdsourcing Hierarchical Tasks. AAMAS Ece Kamar, Eric Horvitz
2014	B	`conf`	Crowdsourcing Language Generation Templates for Dialogue Systems. INLG Margaret Mitchell, Dan Bohus, Ece Kamar
2014	A	`conf`	Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. AAMAS Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor
2014	A	`conf`	Information extraction and manipulation threats in crowd-powered systems. CSCW Walter S. Lasecki, Jaime Teevan, Ece Kamar
2014	A*	`conf`	Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing. AAAI Christopher H. Lin, Ece Kamar, Eric Horvitz
2014	A*	`conf`	Stochastic Privacy. AAAI Adish Singla, Eric Horvitz, Ece Kamar, Ryen White
2014	J	`jnl`	Stochastic Privacy. CoRR Adish Singla, Eric Horvitz, Ece Kamar, Ryen White
2013	A*	`conf`	Lifelong Learning for Acquiring the Wisdom of the Crowd. IJCAI Ece Kamar, Ashish Kapoor, Eric Horvitz
2013	A	`conf`	Light at the end of the tunnel: a Monte Carlo approach to computing value of information. AAMAS Ece Kamar, Eric Horvitz
2013	A*	`conf`	Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence. IJCAI Stephanie Rosenthal, Dan Bohus, Ece Kamar, Eric Horvitz
2013	J	`jnl`	Modeling information exchange opportunities for effective human-computer teamwork. Artif. Intell. Ece Kamar, Ya'akov (Kobi) Gal, Barbara J. Grosz
2013	B	`conf`	Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing. HCOMP Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E. Schwamb, Chris J. Lintott, Arfon M. Smith
2013	B	`conf`	Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. HCOMP Andrew Mao, Ece Kamar, Eric Horvitz
2012	A	`conf`	Combining human and machine intelligence in large-scale crowdsourcing. AAMAS Ece Kamar, Severin Hacker, Eric Horvitz
2012	—	`conf`	Crowdsourcing the acquisition of natural language corpora: Methods and observations. SLT William Yang Wang, Dan Bohus, Ece Kamar, Eric Horvitz
2012	A	`conf`	Incentives for truthful reporting in crowdsourcing. AAMAS Ece Kamar, Eric Horvitz
2012	—	`conf`	Towards Situated Collaboration. SDCTD@NAACL-HLT Dan Bohus, Ece Kamar, Eric Horvitz
2011	A	`conf`	Jogger: models for context-sensitive reminding. AAMAS Ece Kamar, Eric Horvitz
2011	—	`conf`	MSRC at TREC 2011 Crowdsourcing Track. TREC Paul Bennett, Ece Kamar, Gabriella Kazai
2009	A*	`conf`	Collaboration and Shared Plans in the Open World: Studies of Ridesharing. IJCAI Ece Kamar, Eric Horvitz
2009	—	`conf`	Incorporating helpful behavior into collaborative planning. AAMAS (2) Ece Kamar, Ya'akov Gal, Barbara J. Grosz
2009	—	`conf`	Modeling User Perception of Interaction Opportunities for Effective Teamwork. CSE (4) Ece Kamar, Ya'akov Gal, Barbara J. Grosz
2008	—	`conf`	Mobile opportunistic commerce: mechanisms, architecture, and application. AAMAS (2) Ece Kamar, Eric Horvitz, Christopher Meek
2007	A*	`conf`	Modeling User Perception of Interaction Opportunities in Collaborative Human-Computer Settings. AAAI Ece Kamar, Barbara J. Grosz, David Sarne