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ORCIDHal Daumé III
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- affiliation: University of Maryland, College Park, MD, USA
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2020 – today
- 2024
[j24]Upol Ehsan
, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III:
Seamful XAI: Operationalizing Seamful Design in Explainable AI. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-29 (2024)- [c175]Jay Cunningham, Su Lin Blodgett, Michael Madaio, Hal Daumé III, Christina Harrington, Hanna M. Wallach:
Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers. ACL (Findings) 2024: 12826-12833 - [c174]Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. EMNLP 2024: 719-736 - [c173]Yang Trista Cao, Lovely-Frances Domingo, Sarah A. Gilbert, Michelle L. Mazurek, Katie Shilton, Hal Daumé III:
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method. EMNLP 2024: 3567-3587 - [c172]Huy Nghiem, Hal Daumé III:
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models. EMNLP (Findings) 2024: 5938-5956 - [c171]Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III:
"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. EMNLP 2024: 7268-7287 - [c170]Kayo Yin, Chinmay Singh, Fyodor Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Lu, Danielle Bragg:
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles. EMNLP 2024: 14474-14490 - [c169]Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber:
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. EMNLP 2024: 21533-21564 - [c168]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR 2024 - [c167]Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov:
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. ICML 2024 - [c166]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. ICML 2024 - [c165]Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III:
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features. IUI 2024: 155-180 - [c164]Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber:
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT 2024: 1459-1474 - [i98]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR abs/2402.06187 (2024) - [i97]Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov:
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR abs/2402.10450 (2024) - [i96]Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. CoRR abs/2402.16973 (2024) - [i95]Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah:
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR abs/2403.01015 (2024) - [i94]Huy Nghiem, Hal Daumé III:
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models. CoRR abs/2403.11456 (2024) - [i93]Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III:
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. CoRR abs/2406.12232 (2024) - [i92]Connor Baumler, Hal Daumé III:
Anti-stereotypical Predictive Text Suggestions Do Not Reliably Yield Anti-stereotypical Writing. CoRR abs/2409.20390 (2024) - [i91]Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber:
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. CoRR abs/2410.06524 (2024) - [i90]Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé III, Rachel Rudinger:
Natural Language Inference Improves Compositionality in Vision-Language Models. CoRR abs/2410.22315 (2024) - 2023
- [c163]Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett:
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. ACL (Findings) 2023: 3234-3279 - [c162]Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models. ACL (Findings) 2023: 3688-3706 - [c161]Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach:
FairPrism: Evaluating Fairness-Related Harms in Text Generation. ACL (1) 2023: 6231-6251 - [c160]Navita Goyal, Ani Nenkova, Hal Daumé III:
Factual or Contextual? Disentangling Error Types in Entity Description Generation. ACL (1) 2023: 8322-8340 - [c159]Connor Baumler, Anna Sotnikova, Hal Daumé III:
Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree. ACL (Findings) 2023: 10352-10371 - [c158]Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts 2023: 353:1-353:7 - [c157]Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III:
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems. EMNLP 2023: 3313-3330 - [c156]Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daumé III:
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. EMNLP 2023: 3933-3945 - [c155]Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
Hallucination Detection for Grounded Instruction Generation. EMNLP (Findings) 2023: 4044-4053 - [c154]Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat:
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. EMNLP 2023: 9696-9717 - [c153]Aashaka Desai, Lauren Berger, Fyodor Minakov, Nessa Milano, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg:
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. NeurIPS 2023 - [c152]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS 2023 - [i89]Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities. CoRR abs/2301.05149 (2023) - [i88]Aashaka Desai, Lauren Berger, Fyodor O. Minakov, Vanessa Milan, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg:
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. CoRR abs/2304.05934 (2023) - [i87]Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett:
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. CoRR abs/2305.09022 (2023) - [i86]Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III:
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems. CoRR abs/2305.14331 (2023) - [i85]Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev:
Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR abs/2306.05949 (2023) - [i84]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR abs/2306.13229 (2023) - [i83]Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III:
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features. CoRR abs/2310.08617 (2023) - [i82]Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber:
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. CoRR abs/2310.12558 (2023) - [i81]Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan:
Progressively Efficient Learning. CoRR abs/2310.13004 (2023) - [i80]Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat:
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. CoRR abs/2310.15055 (2023) - [i79]Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
Hallucination Detection for Grounded Instruction Generation. CoRR abs/2310.15319 (2023) - [i78]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR abs/2310.19668 (2023) - [i77]Yang Trista Cao, Lovely-Frances Domingo, Sarah Ann Gilbert, Michelle L. Mazurek, Katie Shilton, Hal Daumé III:
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators. CoRR abs/2311.07879 (2023) - [i76]Yang Trista Cao, Anna Sotnikova, Jieyu Zhao, Linda X. Zou, Rachel Rudinger, Hal Daumé III:
Multilingual large language models leak human stereotypes across language boundaries. CoRR abs/2312.07141 (2023) - 2022
- [j23]Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond J. Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu:
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [j22]Dhanya Sridhar, Hal Daumé III, David M. Blei:
Heterogeneous Supervised Topic Models. Trans. Assoc. Comput. Linguistics 10: 732-745 (2022) - [c151]Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. CHI Extended Abstracts 2022: 109:1-109:7 - [c150]Amr Sharaf, Hal Daumé III, Renkun Ni:
Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints. FAccT 2022: 2149-2156 - [c149]Khanh X. Nguyen, Yonatan Bisk, Hal Daumé III:
A Framework for Learning to Request Rich and Contextually Useful Information from Humans. ICML 2022: 16553-16568 - [c148]Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III:
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility? AACL/IJCNLP (1) 2022: 1025-1034 - [c147]Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT 2022: 314-324 - [c146]Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou:
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. NAACL-HLT 2022: 1276-1295 - [i75]Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR abs/2205.06828 (2022) - [i74]Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou:
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. CoRR abs/2206.11684 (2022) - [i73]Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III:
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility? CoRR abs/2210.14966 (2022) - [i72]Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III:
Seamful XAI: Operationalizing Seamful Design in Explainable AI. CoRR abs/2211.06753 (2022) - [i71]Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah:
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR abs/2211.12966 (2022) - 2021
- [j21]Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford, Hal Daumé III, Miroslav Dudík, Benjamin Fish, Mary L. Gray, Brent J. Hecht, Alexandra Olteanu, Forough Poursabzi-Sangdeh, Luke Stark, Jennifer Wortman Vaughan, Hanna M. Wallach, Marion Zepf:
Responsible computing during COVID-19 and beyond. Commun. ACM 64(7): 30-32 (2021) - [j20]Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford:
Datasheets for datasets. Commun. ACM 64(12): 86-92 (2021) - [j19]Yang Trista Cao, Hal Daumé III:
Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle. Comput. Linguistics 47(3): 615-661 (2021) - [j18]Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III:
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 75:1-75:17 (2021) - [c145]Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III:
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. AAAI 2021: 4785-4793 - [c144]Amr Sharaf, Hal Daumé III:
Meta-Learning Effective Exploration Strategies for Contextual Bandits. AAAI 2021: 9541-9548 - [c143]Anna Sotnikova, Yang Trista Cao, Hal Daumé III, Rachel Rudinger:
Analyzing Stereotypes in Generative Text Inference Tasks. ACL/IJCNLP (Findings) 2021: 4052-4065 - [c142]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. EMNLP (1) 2021: 9612-9622 - [c141]David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan:
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence. HCOMP 2021: 35-47 - [c140]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. NAACL-HLT 2021: 4635-4641 - [i70]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. CoRR abs/2104.05883 (2021) - [i69]David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan:
A Human-Centered Interpretability Framework Based on Weight of Evidence. CoRR abs/2104.13299 (2021) - [i68]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. CoRR abs/2110.04889 (2021) - [i67]Khanh Nguyen, Yonatan Bisk, Hal Daumé III:
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework. CoRR abs/2110.08258 (2021) - 2020
- [j17]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. 13(1): 107-122 (2020) - [c139]Kianté Brantley, Hal Daumé III, Amr Sharaf:
Active Imitation Learning with Noisy Guidance. ACL 2020: 2093-2105 - [c138]Yang Trista Cao, Hal Daumé III:
Toward Gender-Inclusive Coreference Resolution. ACL 2020: 4568-4595 - [c137]Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach:
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. ACL 2020: 5454-5476 - [c136]Amr Sharaf, Hany Hassan, Hal Daumé III:
Meta-Learning for Few-Shot NMT Adaptation. NGT@ACL 2020: 43-53 - [c135]Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee:
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. EMNLP (Findings) 2020: 1849-1864 - [c134]Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach:
The meaning and measurement of bias: lessons from natural language processing. FAT* 2020: 706 - [c133]Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. SIGIR 2020: 399-408 - [i66]Amr Sharaf, Hany Hassan, Hal Daumé III:
Meta-Learning for Few-Shot NMT Adaptation. CoRR abs/2004.02745 (2020) - [i65]Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III:
Towards Automatic Generation of Questions from Long Answers. CoRR abs/2004.05109 (2020) - [i64]Kianté Brantley, Amr Sharaf, Hal Daumé III:
Active Imitation Learning with Noisy Guidance. CoRR abs/2005.12801 (2020) - [i63]Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. CoRR abs/2005.13718 (2020) - [i62]Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach:
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. CoRR abs/2005.14050 (2020) - [i61]Khanh Nguyen, Hal Daumé III:
Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms. CoRR abs/2006.07777 (2020) - [i60]Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee:
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. CoRR abs/2010.11246 (2020) - [i59]Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III:
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. CoRR abs/2011.14646 (2020) - [i58]Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III:
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. CoRR abs/2011.15050 (2020) - [i57]Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III:
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. CoRR abs/2011.15083 (2020)
2010 – 2019
- 2019
- [j16]Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford:
Active Learning for Cost-Sensitive Classification. J. Mach. Learn. Res. 20: 65:1-65:50 (2019) - [c132]Yang Trista Cao, Sudha Rao, Hal Daumé III:
Controlling the Specificity of Clarification Question Generation. WNLP@ACL 2019: 53-56 - [c131]Kianté Brantley, Kyunghyun Cho, Hal Daumé III, Sean Welleck:
Non-Monotonic Sequential Text Generation. WNLP@ACL 2019: 57-59 - [c130]Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach:
Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? CHI 2019: 600 - [c129]Khanh Nguyen, Hal Daumé III:
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. EMNLP/IJCNLP (1) 2019: 684-695 - [c128]Elissa M. Redmiles, Lisa N. Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligoric, Sean Kross, Michelle L. Mazurek, Hal Daumé III:
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts. EMNLP/IJCNLP (1) 2019: 4830-4841 - [c127]Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro:
Contextual Memory Trees. ICML 2019: 6026-6035 - [c126]Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho:
Non-Monotonic Sequential Text Generation. ICML 2019: 6716-6726 - [c125]Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban:
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. ICML 2019: 7335-7344 - [c124]Sudha Rao, Hal Daumé III:
Answer-based Adversarial Training for Generating Clarification Questions. NAACL-HLT (1) 2019: 143-155 - [c123]Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire:
Reinforcement Learning with Convex Constraints. NeurIPS 2019: 14070-14079 - [i56]Khanh Nguyen, Hal Daumé III:
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. ViGIL@NeurIPS 2019 - [i55]Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban:
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. CoRR abs/1901.00301 (2019) - [i54]Amr Sharaf, Hal Daumé III:
Meta-Learning for Contextual Bandit Exploration. CoRR abs/1901.08159 (2019) - [i53]Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho:
Non-Monotonic Sequential Text Generation. CoRR abs/1902.02192 (2019) - [i52]Sudha Rao, Hal Daumé III:
Answer-based Adversarial Training for Generating Clarification Questions. CoRR abs/1904.02281 (2019) - [i51]Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire:
Reinforcement Learning with Convex Constraints. CoRR abs/1906.09323 (2019) - [i50]Khanh Nguyen, Hal Daumé III:
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. CoRR abs/1909.01871 (2019) - [i49]Khanh Nguyen, Hal Daumé III:
Global Voices: Crossing Borders in Automatic News Summarization. CoRR abs/1910.00421 (2019) - [i48]David Alvarez-Melis, Hal Daumé III, Jennifer Wortman Vaughan, Hanna M. Wallach:
Weight of Evidence as a Basis for Human-Oriented Explanations. CoRR abs/1910.13503 (2019) - [i47]Yang Trista Cao, Hal Daumé III:
Toward Gender-Inclusive Coreference Resolution. CoRR abs/1910.13913 (2019) - 2018
- [c122]Sudha Rao, Hal Daumé III:
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. ACL (1) 2018: 2737-2746 - [c121]Han-Chin Shing, Suraj Nair, Ayah Zirikly, Meir Friedenberg, Hal Daumé III, Philip Resnik:
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings. CLPsych@NAACL-HTL 2018: 25-36 - [c120]Chris Kedzie, Kathleen R. McKeown, Hal Daumé III:
Content Selection in Deep Learning Models of Summarization. EMNLP 2018: 1818-1828 - [c119]Hal Daumé III, John Langford, Amr Sharaf:
Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback. ICLR (Poster) 2018 - [c118]Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue, Hal Daumé III:
Hierarchical Imitation and Reinforcement Learning. ICML 2018: 2923-2932 - [c117]Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras:
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. USENIX Security Symposium 2018: 1299-1316 - [i46]Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue, Hal Daumé III:
Hierarchical Imitation and Reinforcement Learning. CoRR abs/1803.00590 (2018) - [i45]Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras:
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. CoRR abs/1803.06975 (2018) - [i44]Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford:
Datasheets for Datasets. CoRR abs/1803.09010 (2018) - [i43]Sudha Rao, Hal Daumé III:
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. CoRR abs/1805.04655 (2018) - [i42]Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro:
Contextual Memory Trees. CoRR abs/1807.06473 (2018) - [i41]Chris Kedzie, Kathleen R. McKeown, Hal Daumé III:
Content Selection in Deep Learning Models of Summarization. CoRR abs/1810.12343 (2018) - [i40]Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach:
Improving fairness in machine learning systems: What do industry practitioners need? CoRR abs/1812.05239 (2018) - 2017
- [c116]Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III:
Unsupervised Learning of Evolving Relationships Between Literary Characters. AAAI 2017: 3159-3165 - [c115]Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daumé III:
Biomedical Event Extraction using Abstract Meaning Representation. BioNLP 2017: 126-135 - [c114]Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis:
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CVPR 2017: 6478-6487 - [c113]Amr Sharaf, Hal Daumé III:
Structured Prediction via Learning to Search under Bandit Feedback. SPNLP@EMNLP 2017: 17-26 - [c112]Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber:
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. EMNLP 2017: 1464-1474 - [c111]Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro:
Logarithmic Time One-Against-Some. ICML 2017: 923-932 - [c110]Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford:
Active Learning for Cost-Sensitive Classification. ICML 2017: 1915-1924 - [c109]Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III:
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. WMT 2017: 667-673 - [i39]Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford:
Active Learning for Cost-Sensitive Classification. CoRR abs/1703.01014 (2017) - [i38]Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber:
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. CoRR abs/1707.07402 (2017) - [i37]Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III:
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. CoRR abs/1708.01318 (2017) - [i36]Allyson Ettinger, Sudha Rao, Hal Daumé III, Emily M. Bender:
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task. CoRR abs/1711.01505 (2017) - 2016
- [j15]Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg:
Large Scale Retrieval and Generation of Image Descriptions. Int. J. Comput. Vis. 119(1): 46-59 (2016) - [j14]Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel:
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67(11): 2684-2696 (2016) - [j13]Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro:
Learning Reductions That Really Work. Proc. IEEE 104(1): 136-147 (2016) - [c108]Hadi Amiri, Hal Daumé III:
Short Text Representation for Detecting Churn in Microblogs. AAAI 2016: 2566-2572 - [c107]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. AAAI 2016: 2697-2703 - [c106]Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Evolving Relationships Between Characters in Literary Novels. AAAI 2016: 2704-2710 - [c105]Hadi Amiri, Philip Resnik, Jordan L. Boyd-Graber, Hal Daumé III:
Learning Text Pair Similarity with Context-sensitive Autoencoders. ACL (1) 2016 - [c104]Meir Friedenberg, Hadi Amiri, Hal Daumé III, Philip Resnik:
The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health. CLPsych@HLT-NAACL 2016: 158-161 - [c103]He He, Jordan L. Boyd-Graber, Hal Daumé III:
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation. HLT-NAACL 2016: 971-976 - [c102]Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III:
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. HLT-NAACL 2016: 1534-1544 - [c101]Kai-Wei Chang, He He, Stéphane Ross, Hal Daumé III, John Langford:
A Credit Assignment Compiler for Joint Prediction. NIPS 2016: 1705-1713 - [c100]Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik:
CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search. SemEval@NAACL-HLT 2016: 1190-1196 - [c99]Fabienne Braune, Alexander M. Fraser, Hal Daumé III, Ales Tamchyna:
A Framework for Discriminative Rule Selection in Hierarchical Moses. WMT 2016: 92-101 - [i35]Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro:
Logarithmic Time One-Against-Some. CoRR abs/1606.04988 (2016) - [i34]He He, Jordan L. Boyd-Graber, Kevin Kwok, Hal Daumé III:
Opponent Modeling in Deep Reinforcement Learning. CoRR abs/1609.05559 (2016) - [i33]Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis:
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CoRR abs/1611.05118 (2016) - 2015
- [c98]Hadi Amiri, Hal Daumé III:
Target-Dependent Churn Classification in Microblogs. AAAI 2015: 2361-2367 - [c97]Naho Orita, Eliana Vornov, Naomi Feldman, Hal Daumé III:
Why discourse affects speakers' choice of referring expressions. ACL (1) 2015: 1639-1649 - [c96]Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III:
Deep Unordered Composition Rivals Syntactic Methods for Text Classification. ACL (1) 2015: 1681-1691 - [c95]He He, Alvin Grissom II, John Morgan, Jordan L. Boyd-Graber, Hal Daumé III:
Syntax-based Rewriting for Simultaneous Machine Translation. EMNLP 2015: 55-64 - [c94]Hal Daumé III, Samir Khuller, Manish Purohit, Gregory Sanders:
On Correcting Inputs: Inverse Optimization for Online Structured Prediction. FSTTCS 2015: 38-51 - [c93]Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford:
Learning to Search Better than Your Teacher. ICML 2015: 2058-2066 - [c92]Hal Daumé III, John Langford, Kai-Wei Chang, He He, Sudha Rao:
Hands-on Learning to Search for Structured Prediction. HLT-NAACL 2015: 1 - [c91]Sudha Rao, Allyson Ettinger, Hal Daumé III, Philip Resnik:
Dialogue focus tracking for zero pronoun resolution. HLT-NAACL 2015: 494-503 - [i32]Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford:
Learning to Search Better Than Your Teacher. CoRR abs/1502.02206 (2015) - [i31]Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro:
Learning Reductions that Really Work. CoRR abs/1502.02704 (2015) - [i30]Kai-Wei Chang, He He, Hal Daumé III, John Langford:
Learning to Search for Dependencies. CoRR abs/1503.05615 (2015) - [i29]Hal Daumé III, Samir Khuller, Manish Purohit, Gregory Sanders:
On Correcting Inputs: Inverse Optimization for Online Structured Prediction. CoRR abs/1510.03130 (2015) - [i28]Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik:
Parser for Abstract Meaning Representation using Learning to Search. CoRR abs/1510.07586 (2015) - [i27]Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Dynamic Relationships Between Characters in Literary Novels. CoRR abs/1511.09376 (2015) - [i26]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Ask, and shall you receive? Understanding Desire Fulfillment in Natural Language Text. CoRR abs/1511.09460 (2015) - [i25]Jordan L. Boyd-Graber, Hal Daumé III, Yusuke Miyao:
Synchronous Machine Translation (NII Shonan Meeting 2015-10). NII Shonan Meet. Rep. 2015 (2015) - 2014
- [j12]Dong Xu, Rama Chellappa, Trevor Darrell, Hal Daumé III:
Guest Editor's Introduction to the Special Issue on Domain Adaptation for Vision Applications. Int. J. Comput. Vis. 109(1-2): 1-2 (2014) - [j11]Ales Tamchyna, Fabienne Braune, Alexander M. Fraser, Marine Carpuat, Hal Daumé III, Chris Quirk:
Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding. Prague Bull. Math. Linguistics 101: 29-42 (2014) - [c90]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Learning Latent Engagement Patterns of Students in Online Courses. AAAI 2014: 1272-1278 - [c89]Junhui Li, Yuval Marton, Philip Resnik, Hal Daumé III:
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation. ACL (1) 2014: 1123-1133 - [c88]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Predicting Instructor's Intervention in MOOC forums. ACL (1) 2014: 1501-1511 - [c87]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL 2014: 28-33 - [c86]Dan Goldwasser, Hal Daumé III:
"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues. EACL 2014: 655-663 - [c85]Mohit Iyyer, Jordan L. Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, Hal Daumé III:
A Neural Network for Factoid Question Answering over Paragraphs. EMNLP 2014: 633-644 - [c84]Alvin Grissom II, He He, Jordan L. Boyd-Graber, John Morgan, Hal Daumé III:
Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation. EMNLP 2014: 1342-1352 - [c83]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S 2014: 157-158 - [c82]He He, Hal Daumé III, Jason Eisner:
Learning to Search in Branch and Bound Algorithms. NIPS 2014: 3293-3301 - [i24]Hal Daumé III, John Langford, Stéphane Ross:
Efficient programmable learning to search. CoRR abs/1406.1837 (2014) - [i23]Hal Daumé III:
Bayesian Multitask Learning with Latent Hierarchies. CoRR abs/1408.2032 (2014) - 2013
- [j10]Amit Goyal, Ellen Riloff, Hal Daumé III:
A Computational Model for Plot Units. Comput. Intell. 29(3): 466-488 (2013) - [j9]Jeffrey P. Ferraro, Hal Daumé III, Scott L. DuVall, Wendy Webber Chapman, Henk Harkema, Peter J. Haug:
Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation. J. Am. Medical Informatics Assoc. 20(5): 931-939 (2013) - [j8]Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé III, Dragos Stefan Munteanu:
Measuring Machine Translation Errors in New Domains. Trans. Assoc. Comput. Linguistics 1: 429-440 (2013) - [c81]Marine Carpuat, Hal Daumé III, Katharine Henry, Ann Irvine, Jagadeesh Jagarlamudi, Rachel Rudinger:
SenseSpotting: Never let your parallel data tie you to an old domain. ACL (1) 2013: 1435-1445 - [c80]Ann Irvine, Chris Quirk, Hal Daumé III:
Monolingual Marginal Matching for Translation Model Adaptation. EMNLP 2013: 1077-1088 - [c79]He He, Hal Daumé III, Jason Eisner:
Dynamic Feature Selection for Dependency Parsing. EMNLP 2013: 1455-1464 - [c78]Yuancheng Luo, Dmitry N. Zotkin, Hal Daumé III, Ramani Duraiswami:
Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction. ICASSP 2013: 256-260 - [c77]Snigdha Chaturvedi, Hal Daumé III, Taesun Moon:
Discriminatively Enhanced Topic Models. ICDM 2013: 985-990 - [c76]Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Hal Daumé III, Larry S. Davis:
Predictable Dual-View Hashing. ICML (3) 2013: 1328-1336 - [c75]Junhui Li, Philip Resnik, Hal Daumé III:
Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation. HLT-NAACL 2013: 540-549 - [c74]Yuening Hu, Jordan L. Boyd-Graber, Hal Daumé III, Z. Irene Ying:
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent. NIPS 2013: 1079-1087 - [e1]Lucy Vanderwende, Hal Daumé III, Katrin Kirchhoff:
Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 9-14, 2013, Westin Peachtree Plaza Hotel, Atlanta, Georgia, USA. The Association for Computational Linguistics 2013, ISBN 978-1-937284-47-3 [contents] - [i22]Hal Daumé III, Kevin Duh, Samir Khuller:
Discrete Algorithms Meet Machine Learning (NII Shonan Meeting 2013-6). NII Shonan Meet. Rep. 2013 (2013) - 2012
- [j7]Anusua Trivedi, Piyush Rai, Hal Daumé III, Scott L. DuVall:
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering. ACM Trans. Intell. Syst. Technol. 3(4): 67:1-67:18 (2012) - [c73]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Efficient Protocols for Distributed Classification and Optimization. ALT 2012: 154-168 - [c72]Abhishek Sharma, Abhishek Kumar, Hal Daumé III, David W. Jacobs:
Generalized Multiview Analysis: A discriminative latent space. CVPR 2012: 2160-2167 - [c71]Alexander C. Berg, Tamara L. Berg, Hal Daumé III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Aneesh Sood, Karl Stratos, Kota Yamaguchi:
Understanding and predicting importance in images. CVPR 2012: 3562-3569 - [c70]Jagadeesh Jagarlamudi, Hal Daumé III, Raghavendra Udupa:
Incorporating Lexical Priors into Topic Models. EACL 2012: 204-213 - [c69]Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa C. Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III:
Midge: Generating Image Descriptions From Computer Vision Detections. EACL 2012: 747-756 - [c68]Jagadeesh Jagarlamudi, Hal Daumé III:
Regularized Interlingual Projections: Evaluation on Multilingual Transliteration. EMNLP-CoNLL 2012: 12-23 - [c67]Amit Goyal, Hal Daumé III, Raul Guerra:
Fast Large-Scale Approximate Graph Construction for NLP. EMNLP-CoNLL 2012: 1069-1080 - [c66]Amit Goyal, Hal Daumé III, Graham Cormode:
Sketch Algorithms for Estimating Point Queries in NLP. EMNLP-CoNLL 2012: 1093-1103 - [c65]Jordan L. Boyd-Graber, Brianna Satinoff, He He, Hal Daumé III:
Besting the Quiz Master: Crowdsourcing Incremental Classification Games. EMNLP-CoNLL 2012: 1290-1301 - [c64]Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian:
Sensor Network Localization for Moving Sensors. ICDM Workshops 2012: 202-209 - [c63]Abhishek Kumar, Hal Daumé III:
Learning Task Grouping and Overlap in Multi-task Learning. ICML 2012 - [c62]Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III:
A Binary Classification Framework for Two-Stage Multiple Kernel Learning. ICML 2012 - [c61]Alexandre Passos, Piyush Rai, Jacques Wainer, Hal Daumé III:
Flexible Modeling of Latent Task Structures in Multitask Learning. ICML 2012 - [c60]Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos:
Towards a Watson that sees: Language-guided action recognition for robots. ICRA 2012: 374-381 - [c59]Hal Daumé III:
Transfer learning in language. MLSLP 2012 - [c58]Jagadeesh Jagarlamudi, Hal Daumé III:
Low-Dimensional Discriminative Reranking. HLT-NAACL 2012: 699-709 - [c57]Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg, Tamara L. Berg:
Detecting Visual Text. HLT-NAACL 2012: 762-772 - [c56]Jiarong Jiang, Adam R. Teichert, Hal Daumé III, Jason Eisner:
Learned Prioritization for Trading Off Accuracy and Speed. NIPS 2012: 1340-1348 - [c55]He He, Hal Daumé III, Jason Eisner:
Imitation Learning by Coaching. NIPS 2012: 3158-3166 - [c54]Piyush Rai, Abhishek Kumar, Hal Daumé III:
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression. NIPS 2012: 3194-3202 - [c53]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Protocols for Learning Classifiers on Distributed Data. AISTATS 2012: 282-290 - [i21]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Protocols for Learning Classifiers on Distributed Data. CoRR abs/1202.6078 (2012) - [i20]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Efficient Protocols for Distributed Classification and Optimization. CoRR abs/1204.3523 (2012) - 2011
- [c52]Amit Goyal, Hal Daumé III:
Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage. AAAI 2011: 878-883 - [c51]Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos:
A Corpus-Guided Framework for Robotic Visual Perception. Language-Action Tools for Cognitive Artificial Agents 2011 - [c50]Hal Daumé III:
Beyond Structured Prediction: Inverse Reinforcement Learning. ACL (Tutorial Abstracts) 2011: 1 - [c49]Jagadeesh Jagarlamudi, Hal Daumé III, Raghavendra Udupa:
From Bilingual Dictionaries to Interlingual Document Representations. ACL (2) 2011: 147-152 - [c48]Hal Daumé III, Jagadeesh Jagarlamudi:
Domain Adaptation for Machine Translation by Mining Unseen Words. ACL (2) 2011: 407-412 - [c47]Jay Pujara, Hal Daumé III, Lise Getoor:
Using classifier cascades for scalable e-mail classification. CEAS 2011: 55-63 - [c46]Amit Goyal, Hal Daumé III:
Approximate Scalable Bounded Space Sketch for Large Data NLP. EMNLP 2011: 250-261 - [c45]Yezhou Yang, Ching Lik Teo, Hal Daumé III, Yiannis Aloimonos:
Corpus-Guided Sentence Generation of Natural Images. EMNLP 2011: 444-454 - [c44]Jagadeesh Jagarlamudi, Raghavendra Udupa, Hal Daumé III, Abhijit Bhole:
Improving Bilingual Projections via Sparse Covariance Matrices. EMNLP 2011: 930-940 - [c43]Abhishek Kumar, Hal Daumé III:
A Co-training Approach for Multi-view Spectral Clustering. ICML 2011: 393-400 - [c42]Piyush Rai, Hal Daumé III:
Beam Search based MAP Estimates for the Indian Buffet Process. ICML 2011: 705-712 - [c41]Arvind Agarwal, Hal Daumé III:
A Geometric View of Conjugate Priors. IJCAI 2011: 2558-2563 - [c40]Jiarong Jiang, Piyush Rai, Hal Daumé III:
Message-Passing for Approximate MAP Inference with Latent Variables. NIPS 2011: 1197-1205 - [c39]Abhishek Kumar, Piyush Rai, Hal Daumé III:
Co-regularized Multi-view Spectral Clustering. NIPS 2011: 1413-1421 - [c38]Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall:
Active Supervised Domain Adaptation. ECML/PKDD (3) 2011: 97-112 - [c37]Amit Goyal, Hal Daumé III:
Generating Semantic Orientation Lexicon using Large Data and Thesaurus. WASSA@ACL 2011: 37-43 - [c36]Arvind Agarwal, Hal Daumé III:
Generative Kernels for Exponential Families. AISTATS 2011: 85-92 - [c35]Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian:
Online Learning of Multiple Tasks and Their Relationships. AISTATS 2011: 643-651 - [i19]Hal Daumé III, Daniel Marcu:
Domain Adaptation for Statistical Classifiers. CoRR abs/1109.6341 (2011) - 2010
- [j6]Arvind Agarwal, Hal Daumé III:
A geometric view of conjugate priors. Mach. Learn. 81(1): 99-113 (2010) - [c34]Jagadeesh Jagarlamudi, Seth Juarez, Hal Daumé III:
Kernelized Sorting for Natural Language Processing. AAAI 2010: 1020-1025 - [c33]Amit Goyal, Jagadeesh Jagarlamudi, Hal Daumé III, Suresh Venkatasubramanian:
Sketching Techniques for Large Scale NLP. WAC@NAACL-HLT 2010: 17-25 - [c32]Anusua Trivedi, Piyush Rai, Scott L. DuVall, Hal Daumé III:
Exploiting tag and word correlations for improved webpage clustering. SMUC@CIKM 2010: 3-12 - [c31]Jagadeesh Jagarlamudi, Hal Daumé III:
Extracting Multilingual Topics from Unaligned Comparable Corpora. ECIR 2010: 444-456 - [c30]Amit Goyal, Ellen Riloff, Hal Daumé III:
Automatically Producing Plot Unit Representations for Narrative Text. EMNLP 2010: 77-86 - [c29]Arvind Agarwal, Hal Daumé III, Samuel Gerber:
Learning Multiple Tasks using Manifold Regularization. NIPS 2010: 46-54 - [c28]Hal Daumé III, Abhishek Kumar, Avishek Saha:
Co-regularization Based Semi-supervised Domain Adaptation. NIPS 2010: 478-486 - [c27]Piyush Rai, Hal Daumé III:
Infinite Predictor Subspace Models for Multitask Learning. AISTATS 2010: 613-620 - [i18]Arvind Agarwal, Hal Daumé III:
Exponential Family Hybrid Semi-Supervised Learning. CoRR abs/1003.0696 (2010) - [i17]Arvind Agarwal, Hal Daumé III:
A Geometric View of Conjugate Priors. CoRR abs/1005.0047 (2010)
2000 – 2009
- 2009
- [j5]Hal Daumé III, John Langford, Daniel Marcu:
Search-based structured prediction. Mach. Learn. 75(3): 297-325 (2009) - [c26]Hal Daumé III:
Markov Random Topic Fields. ACL/IJCNLP (2) 2009: 293-296 - [c25]Hal Daumé III:
Unsupervised search-based structured prediction. ICML 2009: 209-216 - [c24]Arvind Agarwal, Hal Daumé III:
Exponential Family Hybrid Semi-Supervised Learning. IJCAI 2009: 974-979 - [c23]Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian:
Streamed Learning: One-Pass SVMs. IJCAI 2009: 1211-1216 - [c22]Amit Goyal, Hal Daumé III, Suresh Venkatasubramanian:
Streaming for large scale NLP: Language Modeling. HLT-NAACL 2009: 512-520 - [c21]Hal Daumé III:
Non-Parametric Bayesian Areal Linguistics. HLT-NAACL 2009: 593-601 - [c20]Piyush Rai, Hal Daumé III:
Multi-Label Prediction via Sparse Infinite CCA. NIPS 2009: 1518-1526 - [c19]Hal Daumé III:
Bayesian Multitask Learning with Latent Hierarchies. UAI 2009: 135-142 - [i16]Hal Daumé III:
Non-Parametric Bayesian Areal Linguistics. CoRR abs/0906.5114 (2009) - [i15]Hal Daumé III:
Unsupervised Search-based Structured Prediction. CoRR abs/0906.5151 (2009) - [i14]Hal Daumé III:
Bayesian Multitask Learning with Latent Hierarchies. CoRR abs/0907.0783 (2009) - [i13]Hal Daumé III:
Cross-Task Knowledge-Constrained Self Training. CoRR abs/0907.0784 (2009) - [i12]Hal Daumé III, Lyle Campbell:
A Bayesian Model for Discovering Typological Implications. CoRR abs/0907.0785 (2009) - [i11]Hal Daumé III, John Langford, Daniel Marcu:
Search-based Structured Prediction. CoRR abs/0907.0786 (2009) - [i10]Hal Daumé III, Daniel Marcu:
Induction of Word and Phrase Alignments for Automatic Document Summarization. CoRR abs/0907.0804 (2009) - [i9]Hal Daumé III, Daniel Marcu:
A Noisy-Channel Model for Document Compression. CoRR abs/0907.0806 (2009) - [i8]Hal Daumé III, Daniel Marcu:
A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model. CoRR abs/0907.0807 (2009) - [i7]Hal Daumé III, Daniel Marcu:
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior. CoRR abs/0907.0808 (2009) - [i6]Hal Daumé III, Daniel Marcu:
Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction. CoRR abs/0907.0809 (2009) - [i5]Hal Daumé III:
Fast search for Dirichlet process mixture models. CoRR abs/0907.1812 (2009) - [i4]Hal Daumé III:
Bayesian Query-Focused Summarization. CoRR abs/0907.1814 (2009) - [i3]Hal Daumé III:
Frustratingly Easy Domain Adaptation. CoRR abs/0907.1815 (2009) - [i2]Piyush Rai, Hal Daumé III:
The Infinite Hierarchical Factor Regression Model. CoRR abs/0908.0570 (2009) - [i1]Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian:
Streamed Learning: One-Pass SVMs. CoRR abs/0908.0572 (2009) - 2008
- [c18]Ulf Hermjakob, Kevin Knight, Hal Daumé III:
Name Translation in Statistical Machine Translation - Learning When to Transliterate. ACL 2008: 389-397 - [c17]Hal Daumé III:
Cross-Task Knowledge-Constrained Self Training. EMNLP 2008: 680-688 - [c16]Percy Liang, Hal Daumé III, Dan Klein:
Structure compilation: trading structure for features. ICML 2008: 592-599 - [c15]Piyush Rai, Hal Daumé III:
The Infinite Hierarchical Factor Regression Model. NIPS 2008: 1321-1328 - 2007
- [c14]Hal Daumé III:
Frustratingly Easy Domain Adaptation. ACL 2007 - [c13]Hal Daumé III, Lyle Campbell:
A Bayesian Model for Discovering Typological Implications. ACL 2007 - [c12]Yee Whye Teh, Hal Daumé III, Daniel M. Roy:
Bayesian Agglomerative Clustering with Coalescents. NIPS 2007: 1473-1480 - [c11]Hal Daumé III:
Fast search for Dirichlet process mixture models. AISTATS 2007: 83-90 - 2006
- [j4]Hal Daumé III, Daniel Marcu:
Domain Adaptation for Statistical Classifiers. J. Artif. Intell. Res. 26: 101-126 (2006) - [c10]Hal Daumé III, Daniel Marcu:
Bayesian Query-Focused Summarization. ACL 2006 - [c9]Hal Daumé III:
Beyond EM: Bayesian Techniques for Human Language Technology Researchers. HLT-NAACL 2006 - 2005
- [j3]Hal Daumé III, Daniel Marcu:
Induction of Word and Phrase Alignments for Automatic Document Summarization. Comput. Linguistics 31(4): 505-530 (2005) - [j2]Hal Daumé III, Daniel Marcu:
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior. J. Mach. Learn. Res. 6: 1551-1577 (2005) - [c8]Hal Daumé III, Daniel Marcu:
Learning as search optimization: approximate large margin methods for structured prediction. ICML 2005: 169-176 - [c7]Hal Daumé III, Daniel Marcu:
A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model. HLT/EMNLP 2005: 97-104 - 2004
- [j1]Hal Daumé III:
Book Review, Inderjeet Mani: Automatic Summarization, John Benjamins Publishing, Amsterdam, The Netherlands, 2001, xi + 286 pp. Mach. Transl. 18(4): 343-347 (2004) - [c6]Hal Daumé III, Daniel Marcu:
A Phrase-Based HMM Approach to Document/Abstract Alignment. EMNLP 2004: 119-126 - [c5]Hal Daumé III, Daniel Marcu:
NP Bracketing by Maximum Entropy Tagging and SVM Reranking. EMNLP 2004: 254-261 - [c4]Hal Daumé III, Eric Brill:
Web Search Intent Induction via Automatic Query Reformulation. HLT-NAACL (Short Papers) 2004 - 2002
- [c3]Hal Daumé III, Daniel Marcu:
A Noisy-Channel Model for Document Compression. ACL 2002: 449-456 - [c2]Hal Daumé III, Kevin Knight, Irene Langkilde-Geary, Daniel Marcu, Kenji Yamada:
The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks. INLG 2002: 9-16 - 2001
- [c1]Eric Nyberg, Hal Daumé III:
Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval. HLT 2001
Coauthor Index
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