Eric Horvitz

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

Achievements

+16 more ↓

🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (24)

🐝 Cross-Pollinator (15) 🏃 Academic Marathon (24) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🏆 Grand Slam 🏆 Keyword Champion 🤝 Dynamic Duo (11) 🌱 Topic Pioneer 🧬 Topic Evolution 📈 Trend Setter 🗃️ Keyword Collector (178) 🚀 Conference Pioneer ⚡ Prolific Year (5) ❓ The Questioner (2) 💎 Century Club (34) 🔥 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 “Paper 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