Iii, Hal Daume

54 publications

NeurIPS 2025 Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning Navita Goyal, Hal Daumé Iii, Alexandre Drouin, Dhanya Sridhar

ICLR 2025 Natural Language Inference Improves Compositionality in Vision-Language Models Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé Iii, Rachel Rudinger

ICLR 2025 TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé Iii, Andrey Kolobov, Furong Huang, Jianwei Yang

ICLR 2024 DrM: Mastering Visual Reinforcement Learning Through Dormant Ratio Minimization 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

NeurIPSW 2023 $\texttt{PREMIER-TACO}$ Is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé Iii, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Basu, Furong Huang

NeurIPS 2023 $\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé Iii, Furong Huang

NeurIPS 2023 ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition 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

ICMLW 2023 Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models Lingjun Zhao, Khanh Xuan Nguyen, Hal Daumé Iii

NeurIPSW 2023 Progressively Efficient Communication Khanh Nguyen, Ruijie Zheng, Hal Daumé Iii, Furong Huang, Karthik Narasimhan

ICML 2022 A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh X Nguyen, Yonatan Bisk, Hal Daumé Iii

AAAI 2021 A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé Iii

AAAI 2021 Meta-Learning Effective Exploration Strategies for Contextual Bandits Amr Sharaf, Hal Daumé Iii

JMLR 2019 Active Learning for Cost-Sensitive Classification Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé Iii, John Langford

ICML 2019 Contextual Memory Trees Wen Sun, Alina Beygelzimer, Hal Daumé Iii, John Langford, Paul Mineiro

ICML 2019 Non-Monotonic Sequential Text Generation Sean Welleck, Kianté Brantley, Hal Daumé Iii, Kyunghyun Cho

NeurIPS 2019 Reinforcement Learning with Convex Constraints Sobhan Miryoosefi, Kianté Brantley, Hal Daume Iii, Miro Dudik, Robert E. Schapire

ICML 2019 Warm-Starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback Chicheng Zhang, Alekh Agarwal, Hal Daumé Iii, John Langford, Sahand Negahban

ICLR 2018 Residual Loss Prediction: Reinforcement Learning with No Incremental Feedback Hal Daumé Iii, John Langford, Amr Sharaf

CVPR 2017 The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daume Iii, Larry S. Davis

AAAI 2017 Unsupervised Learning of Evolving Relationships Between Literary Characters Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé Iii

NeurIPS 2016 A Credit Assignment Compiler for Joint Prediction Kai-Wei Chang, He He, Stephane Ross, Hal Daume Iii, John Langford

AAAI 2016 Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé Iii

AAAI 2016 Modeling Evolving Relationships Between Characters in Literary Novels Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé Iii, Chris Dyer

AAAI 2016 Short Text Representation for Detecting Churn in Microblogs Hadi Amiri, Hal Daumé Iii

AAAI 2015 Target-Dependent Churn Classification in Microblogs Hadi Amiri, Hal Daumé Iii

AAAI 2014 Learning Latent Engagement Patterns of Students in Online Courses Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé Iii, Lise Getoor

NeurIPS 2014 Learning to Search in Branch and Bound Algorithms He He, Hal Daume Iii, Jason M Eisner

NeurIPS 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent Yuening Hu, Jordan L Ying, Hal Daume Iii, Z. Irene Ying

ICML 2012 A Binary Classification Framework for Two-Stage Multiple Kernel Learning Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé Iii

ALT 2012 Efficient Protocols for Distributed Classification and Optimization Hal Daumé Iii, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian

ICML 2012 Flexible Modeling of Latent Task Structures in Multitask Learning Alexandre Passos, Piyush Rai, Jacques Wainer, Hal Daumé Iii

CVPR 2012 Generalized Multiview Analysis: A Discriminative Latent Space Abhishek Sharma, Abhishek Kumar, Hal Daumé Iii, David W. Jacobs

ICML 2012 Learning Task Grouping and Overlap in Multi-Task Learning Abhishek Kumar, Hal Daumé Iii

AISTATS 2012 Protocols for Learning Classifiers on Distributed Data Hal Daume Iii, Jeff Phillips, Avishek Saha, Suresh Venkatasubramanian

CVPR 2012 Understanding and Predicting Importance in Images 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

ICML 2011 A Co-Training Approach for Multi-View Spectral Clustering Abhishek Kumar, Hal Daumé Iii

IJCAI 2011 A Geometric View of Conjugate Priors Arvind Agarwal, Hal Daumé Iii

ECML-PKDD 2011 Active Supervised Domain Adaptation Avishek Saha, Piyush Rai, Hal Daumé Iii, Suresh Venkatasubramanian, Scott L. DuVall

ICML 2011 Beam Search Based MAP Estimates for the Indian Buffet Process Piyush Rai, Hal Daumé Iii

AAAI 2011 Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage Amit Goyal, Hal Daumé Iii

AISTATS 2011 Online Learning of Multiple Tasks and Their Relationships Avishek Saha, Piyush Rai, Hal Daumé Iii, Suresh Venkatasubramanian

MLJ 2010 A Geometric View of Conjugate Priors Arvind Agarwal, Hal Daumé Iii

AAAI 2010 Kernelized Sorting for Natural Language Processing Jagadeesh Jagarlamudi, Seth Juarez, Hal Daumé Iii

UAI 2009 Bayesian Multitask Learning with Latent Hierarchies Hal Daumé Iii

IJCAI 2009 Exponential Family Hybrid Semi-Supervised Learning Arvind Agarwal, Hal Daumé Iii

MLJ 2009 Search-Based Structured Prediction Hal Daumé Iii, John Langford, Daniel Marcu

IJCAI 2009 Streamed Learning: One-Pass SVMs Piyush Rai, Hal Daumé Iii, Suresh Venkatasubramanian

ICML 2009 Unsupervised Search-Based Structured Prediction Hal Daumé Iii

ICML 2008 Structure Compilation: Trading Structure for Features Percy Liang, Hal Daumé Iii, Dan Klein

NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents Yee W. Teh, Hal Daume Iii, Daniel M. Roy

AISTATS 2007 Fast Search for Dirichlet Process Mixture Models Hal Daume Iii

JAIR 2006 Domain Adaptation for Statistical Classifiers Hal Daumé Iii, Daniel Marcu

JMLR 2005 A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior Hal Daumé Iii, Daniel Marcu

ICML 2005 Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction Hal Daumé Iii, Daniel Marcu