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Eric Horvitz

35 papers · 2001–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (78) 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (12) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (24) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) πŸ† Grand Slam πŸ† Keyword Champion 🀝 Dynamic Duo (11) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (178) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner (2) πŸ’Ž Century Club (34) πŸ”₯ Unstoppable (7)

Conferences

AAAI (9) IJCAI (6) ACL (3) EMNLP (3) NAACL (3) CVPR (2) ICLR (2) JMLR (2) NIPS (2) AISTATS (1) EACL (1) ICML (1)

Top co-authors

Ece Kamar (12) Besmira Nushi (7) Gagan Bansal (4) Daniel S. Weld (3) Bryan Wilder (3) Tom Hope (3) John Guttag (2) Adam Fourney (2) Robert West (2) Sravanthi Parasa (2)

Keywords

active learning (2) risk stratification (2) scientific literature (2) patient risk stratification (2) text classification (2) reinforcement learning (2) electronic health record (2) domain adaptation (2) imitation learning (1) natural language processing (1) probabilistic modeling (1) deep reinforcement learning (1) decision making (1) probabilistic inference (1) information extraction (1) feature extraction (1) attention mechanism (1) text mining (1) transfer learning (1) sequential decision making (1)

Papers

Tandem Training for Language Models EACL 2026
Improving Instruction-Following in Language Models through Activation Steering ICLR 2025
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification ICLR 2025
Navigating Rifts in Human-LLM Grounding: Study and Benchmark ACL 2025
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming AAAI 2024
Ideal Abstractions for Decision-Focused Learning AISTATS 2023
A Search Engine for Discovery of Scientific Challenges and Directions AAAI 2022
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers NAACL 2021
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork AAAI 2021
Exploiting structured data for learning contagious diseases under incomplete testing ICML 2021
Understanding Failures of Deep Networks via Robust Feature Extraction CVPR 2021
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models ACL 2020
Learning to Complement Humans IJCAI 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search EMNLP 2020
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions CVPR 2020
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications AAAI 2019
Reverse-Engineering Satire, or β€œPaper on Computational Humor Accepted despite Making Serious Advances” AAAI 2019
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution AAAI 2019
Traffic Updates: Saying a Lot While Revealing a Little AAAI 2019
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff AAAI 2019
Filling the Blanks (hint: plural noun) for Mad Libs Humor EMNLP 2017
Identifying Dogmatism in Social Media: Signals and Models EMNLP 2016
Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments IJCAI 2016
Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach JMLR 2016
Information Gathering in Networks via Active Exploration IJCAI 2015
Metareasoning for Planning Under Uncertainty IJCAI 2015
Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence IJCAI 2013
Lifelong Learning for Acquiring the Wisdom of the Crowd IJCAI 2013
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NIPS 2012
Towards Situated Collaboration NAACL 2012
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NIPS 2009
Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Optimizing Automated Call Routing by Integrating Spoken Dialog Models with Queuing Models NAACL 2004
Using Machine Learning Techniques to Interpret WH-questions ACL 2001