| 2016 | HCOMP | Interactive Consensus Agreement Games for Labeling Images. | Paul Upchurch, Daniel Sedra, Andrew Mullen, Haym Hirsh, Kavita Bala |
| 2012 | HCOMP | Diamonds From the Rough: Improving Drawing, Painting, and Singing via Crowdsourcing. | Yotam I. Gingold, Etienne Vouga, Eitan Grinspun, Haym Hirsh |
| 2006 | ICML | Experience-efficient learning in associative bandit problems. | Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh |
| 2005 | FlAIRS | Improving Text Classification Using EM with Background Text. | Sarah Zelikovitz, Haym Hirsh |
| 2003 | CIKM | Adding numbers to text classification. | Sofus A. Macskassy, Haym Hirsh |
| 2003 | IJCAI | Integrating Background Knowledge Into Text Classification. | Sarah Zelikovitz, Haym Hirsh |
| 2001 | CIKM | Using LSI for Text Classification in the Presence of Background Text. | Sarah Zelikovitz, Haym Hirsh |
| 2001 | IJCAI | Using Text Classifiers for Numerical Classification. | Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik |
| 2001 | SIGIR | Intelligent Information Triage. | Sofus A. Macskassy, Haym Hirsh, Foster J. Provost, Ramesh Sankaranarayanan, Vasant Dhar |
| 2000 | AAAI | A Quantitative Study of Small Disjuncts. | Gary M. Weiss, Haym Hirsh |
| 2000 | GECCO | Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models. | Khaled Rasheed, Haym Hirsh |
| 2000 | ICML | Improving Short-Text Classification using Unlabeled Data for Classification Problems. | Sarah Zelikovitz, Haym Hirsh |
| 1998 | AAAI | Recommendation as Classification: Using Social and Content-Based Information in Recommendation. | Chumki Basu, Haym Hirsh, William W. Cohen |
| 1998 | AAAI | Feature Generation for Sequence Categorization. | Daniel Kudenko, Haym Hirsh |
| 1998 | ICML | The Problem with Noise and Small Disjuncts. | Gary M. Weiss, Haym Hirsh |
| 1998 | KDD | Joins that Generalize: Text Classification Using WHIRL. | William W. Cohen, Haym Hirsh |
| 1998 | KDD | Human Performance on Clustering Web Pages: A Preliminary Study. | Sofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh |
| 1998 | KDD | Learning to Predict Rare Events in Event Sequences. | Gary M. Weiss, Haym Hirsh |
| 1997 | AAAI | Experiments in UNIX Command Prediction. | Brian D. Davison, Haym Hirsh |
| 1997 | AAAI | Representing Sequences in Description Logics. | Haym Hirsh, Daniel Kudenko |
| 1997 | AAAI | Version Spaces without Boundary Sets. | Haym Hirsh, Nina Mishra, Leonard Pitt |
| 1997 | HCI | Toward an Adaptive Command Line Interface. | Brian D. Davison, Haym Hirsh |
| 1996 | KDD | Mining Associations in Text in the Presence of Background Knowledge. | Ronen Feldman, Haym Hirsh |
| 1995 | COLT | Corrigendum for "Learnability of Description Logics". | William W. Cohen, Haym Hirsh |
| 1994 | AAAI | Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. | Haym Hirsh, Nathalie Japkowicz |
| 1994 | KR | Learning the Classic Description Logic: Theoretical and Experimental Results. | William W. Cohen, Haym Hirsh |
| 1993 | ICML | Learning DNF Via Probabilistic Evidence Combination. | Steven W. Norton, Haym Hirsh |
| 1992 | AAAI | Computing Least Common Subsumers in Description Logics. | William W. Cohen, Alexander Borgida, Haym Hirsh |
| 1992 | AAAI | Polynomial-Time Learning with Version Spaces. | Haym Hirsh |
| 1992 | AAAI | Classifier Learning from Noisy Data as Probabilistic Evidence Combination. | Steven W. Norton, Haym Hirsh |
| 1992 | COLT | Learnability of Description Logics. | William W. Cohen, Haym Hirsh |
| 1991 | IJCAI | Theoretical Underpinnings of Version Spaces. | Haym Hirsh |
| 1990 | ICML | Learning from Data with Bounded Inconsistency. | Haym Hirsh |
| 1990 | ICML | Incremental Version-Space Merging. | Haym Hirsh |
| 1989 | ICML | Approximating Learned Search Control Knowledge. | Melissa P. Chase, Monte Zweben, Richard L. Piazza, John D. Burger, Paul P. Maglio, Haym Hirsh |
| 1989 | ICML | Incremental Batch Learning. | Scott H. Clearwater, Tze-Pin Chen, Haym Hirsh, Bruce G. Buchanan |
| 1989 | ICML | Combining Empirical and Analytical Learning with Version Spaces. | Haym Hirsh |
| 1988 | ICML | Reasoning about Operationality for Explanation-Based Learning. | Haym Hirsh |
| 1987 | IJCAI | Explanation-based Generalization in a Logic-Programming Environment. | Haym Hirsh |