Ece Kamar

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 90

Top Venues

CoRR

AAAI

IJCAI

HCOMP

Publications

Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar
Teaching Language Models to Hallucinate Less with Synthetic Tasks. ICLR (2024)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR (2024)
Susan Landau, James X. Dempsey, Ece Kamar, Steven M. Bellovin
Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals. CoRR (2024)
Susan Landau, James X. Dempsey, Ece Kamar, Steven M. Bellovin, Robert Pool
Challenging the Machine: Contestability in Government AI Systems. CoRR (2024)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR (2023)
John Joon Young Chung, Ece Kamar, Saleema Amershi
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. CoRR (2023)
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 (2023)
John Joon Young Chung, Ece Kamar, Saleema Amershi
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. ACL (1) (2023)
Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar
Teaching Language Models to Hallucinate Less with Synthetic Tasks. CoRR (2023)
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. ACL (1) (2022)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR (2022)
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
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR (2022)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI (2022)
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. CoRR (2022)
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 (2022)
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
Avoiding Negative Side Effects of Autonomous Systems in the Open World. J. Artif. Intell. Res. 74 (2022)
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)
Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris
Understanding the Representation and Representativeness of Age in AI Data Sets. CoRR (2021)
Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems. AI Mag. 42 (4) (2021)
Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions. AAAI (2021)
Joon Sung Park, Danielle Bragg, Ece Kamar, Meredith Ringel Morris
Designing an Online Infrastructure for Collecting AI Data From People With Disabilities. FAccT (2021)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR (2021)
Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris
Understanding the Representation and Representativeness of Age in AI Data Sets. AIES (2021)
Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah
A Bayesian Approach to Identifying Representational Errors. CoRR (2021)
Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. AIES (2021)
Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. CoRR (2021)
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)
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CHI (2021)
Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems. CoRR (2020)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR (2020)
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
Optimizing AI for Teamwork. CoRR (2020)
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna M. Wallach, Meredith Ringel Morris
Toward fairness in AI for people with disabilities SBG@a research roadmap. ACM SIGACCESS Access. Comput. 125 (2020)
Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju
Can I Still Trust You?: Understanding the Impact of Distribution Shifts on Algorithmic Recourses. CoRR (2020)
Zheng Wang, Bruno Abrahao, Ece Kamar
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract). AAAI (2020)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR (2020)
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 (2020)
Bryan Wilder, Eric Horvitz, Ece Kamar
Learning to Complement Humans. CoRR (2020)
Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis
Personalization in Human-AI Teams: Improving the Compatibility-Accuracy Tradeoff. CoRR (2020)
Keri Mallari, Kori Inkpen, Paul Johns, Sarah Tan, Divya Ramesh, Ece Kamar
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism. CoRR (2020)
Keri Mallari, Kori Inkpen, Paul Johns, Sarah Tan, Divya Ramesh, Ece Kamar
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism. CHI (2020)
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)
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
A Multi-Objective Approach to Mitigate Negative Side Effects. IJCAI (2020)
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR (2020)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67 (2020)
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. AAMAS (2020)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD (2020)
Bryan Wilder, Eric Horvitz, Ece Kamar
Learning to Complement Humans. IJCAI (2020)
Anthony Z. Liu, Santiago Guerra, Isaac Fung, Gabriel Matute, Ece Kamar, Walter S. Lasecki
Towards Hybrid Human-AI Workflows for Unknown Unknown Detection. WWW (2020)
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
Security and Machine Learning in the Real World. CoRR (2020)
Shayan Doroudi, Ece Kamar, Emma Brunskill
Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. HCOMP (2019)
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)
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann
Software engineering for machine learning: a case study. ICSE (SEIP) (2019)
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
Machine behaviour. Nat. 568 (7753) (2019)
Yongsung Kim, Adam Fourney, Ece Kamar
Studying Preferences and Concerns about Information Disclosure in Email Notifications. WWW (2019)
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna M. Wallach, Meredith Ringel Morris
Toward Fairness in AI for People with Disabilities: A Research Roadmap. CoRR (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
A Case for Backward Compatibility for Human-AI Teams. CoRR (2019)
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)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. CoRR (2019)
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec
Faithful and Customizable Explanations of Black Box Models. AIES (2019)
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)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP (2019)
Yongsung Kim, Adam Fourney, Ece Kamar
Studying Preferences and Concerns about Information Disclosure in Email Notifications. CoRR (2018)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. CoRR (2018)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. AAMAS (2018)
Sarah Tan, Julius Adebayo, Kori Inkpen, Ece Kamar
Investigating Human + Machine Complementarity for Recidivism Predictions. CoRR (2018)
Besmira Nushi, Ece Kamar, Eric Horvitz
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP (2018)
Elliot Salisbury, Ece Kamar, Meredith Ringel Morris
Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing. IJCAI (2018)
Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller
Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. AAAI (2018)
Besmira Nushi, Ece Kamar, Eric Horvitz
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. CoRR (2018)
Harmanpreet Kaur, Mitchell L. Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, Walter S. Lasecki
CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. HCOMP (2017)
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec
Interpretable & Explorable Approximations of Black Box Models. CoRR (2017)
Sean Andrist, Dan Bohus, Ece Kamar, Eric Horvitz
What Went Wrong and Why? Diagnosing Situated Interaction Failures in the Wild. ICSR (2017)
Ece Kamar, Lydia Manikonda
Complementing the Execution of AI Systems with Human Computation. AAAI Workshops (2017)
Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI (2017)
Joseph Chee Chang, Saleema Amershi, Ece Kamar
Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets. CHI (2017)
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. AAAI (2017)
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. AAAI (2017)
Elliot Salisbury, Ece Kamar, Meredith Ringel Morris
Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind. HCOMP (2017)
Niloufar Salehi, Jaime Teevan, Shamsi T. Iqbal, Ece Kamar
Communicating Context to the Crowd for Complex Writing Tasks. CSCW (2017)
Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe
HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration). AAMAS (2016)
Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz
Toward a Learning Science for Complex Crowdsourcing Tasks. CHI (2016)
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz
Discovering Blind Spots of Predictive Models: Representations and Policies for Guided Exploration. CoRR (2016)
Cathy Wu, Ece Kamar, Eric Horvitz
Clustering for set partitioning with a case study in ridesharing. ITSC (2016)
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)
Ofra Amir, Ece Kamar, Andrey Kolobov, Barbara J. Grosz
Interactive Teaching Strategies for Agent Training. IJCAI (2016)
Ece Kamar
Hybrid workplaces of the future. XRDS 23 (2) (2016)
Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe
POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges. AAMAS Workshops (Visionary Papers) (2016)
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)
Ece Kamar
Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence. IJCAI (2016)
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. CoRR (2016)
Ece Kamar, Eric Horvitz
Planning for Crowdsourcing Hierarchical Tasks. AAMAS (2015)
Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz
Metareasoning for Planning Under Uncertainty. CoRR (2015)
Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz
Metareasoning for Planning Under Uncertainty. IJCAI (2015)
Ece Kamar, Ashish Kapoor, Eric Horvitz
Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. HCOMP (2015)
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)
Christopher H. Lin, Ece Kamar, Eric Horvitz
Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing. AAAI (2014)
Walter S. Lasecki, Jaime Teevan, Ece Kamar
Information extraction and manipulation threats in crowd-powered systems. CSCW (2014)
Adish Singla, Eric Horvitz, Ece Kamar, Ryen White
Stochastic Privacy. AAAI (2014)
Adish Singla, Eric Horvitz, Ece Kamar, Ryen White
Stochastic Privacy. CoRR (2014)
Margaret Mitchell, Dan Bohus, Ece Kamar
Crowdsourcing Language Generation Templates for Dialogue Systems. INLG (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ece Kamar