Roth, Dan

132 publications

TMLR 2026 On Calibration of Multilingual Question Answering LLMs Yahan Yang, Soham Dan, Dan Roth, Insup Lee

ICLR 2025 BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models Yu Feng, Ben Zhou, Weidong Lin, Dan Roth

ICLR 2025 Beyond Correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth

ICML 2025 GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro

NeurIPS 2025 Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies Efthymia Tsamoura, Kaifu Wang, Dan Roth

ICLR 2025 MuirBench: A Comprehensive Benchmark for Robust Multi-Image Understanding Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen

ICML 2025 ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Richard Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang

ICLRW 2025 ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Richard Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang

ICMLW 2024 A Peek into Token Bias: Large Language Models Are Not yet Genuine Reasoners Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo Jose Taylor, Dan Roth

ECCV 2024 BLINK: Multimodal Large Language Models Can See but Not Perceive Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A Smith, Wei-Chiu Ma, Ranjay Krishna

ICLR 2024 Code Representation Learning at Scale Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang

ICML 2024 Fewer Truncations Improve Language Modeling Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto

ICMLW 2024 Fewer Truncations Improve Language Modeling Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto

NeurIPS 2024 Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou

NeurIPS 2024 Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna

NeurIPSW 2024 Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna

NeurIPSW 2023 Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao

TMLR 2023 Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Johan Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew Kyle Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cesar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Christopher Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, C. Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germàn Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Xinyue Wang, Gonzalo Jaimovitch-Lopez, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Francis Anthony Shevlin, Hinrich Schuetze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh Dhole, Kevin Gimpel, Kevin Omondi, Kory Wallace Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros-Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje Ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramirez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael Andrew Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Andrew Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter W Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan Le Bras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Russ Salakhutdinov, Ryan Andrew Chi, Seungjae Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel Stern Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima Shammie Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven Piantadosi, Stuart Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsunori Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Venkatesh Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Sophie Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu

NeurIPS 2023 CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion Yangruibo Ding, Zijian Wang, Wasi Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

AAAI 2023 GLUECons: A Generic Benchmark for Learning Under Constraints Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi

ICLR 2023 Multi-Lingual Evaluation of Code Generation Models Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

NeurIPS 2023 On Learning Latent Models with Multi-Instance Weak Supervision Kaifu Wang, Efthymia Tsamoura, Dan Roth

ICML 2023 On Regularization and Inference with Label Constraints Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth

ICLR 2023 Street: A Multi-Task Structured Reasoning and Explanation Benchmark Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth

CVPR 2022 Cross-Modal mAP Learning for Vision and Language Navigation Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis

ICML 2022 Neuro-Symbolic Language Modeling with Automaton-Augmented Retrieval Uri Alon, Frank Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig

ICMLW 2022 Neuro-Symbolic Language Modeling with Automaton-Augmented Retrieval Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig

ICML 2022 ROCK: Causal Inference Principles for Reasoning About Commonsense Causality Jiayao Zhang, Hongming Zhang, Weijie Su, Dan Roth

NeurIPSW 2022 Towards Reverse Causal Inference on Panel Data: Precise Formulation and Challenges Jiayao Zhang, Youngsuk Park, Danielle C. Maddix, Dan Roth, Bernie Wang

ICML 2022 Understanding Robust Generalization in Learning Regular Languages Soham Dan, Osbert Bastani, Dan Roth

ICLR 2022 Weighted Training for Cross-Task Learning Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J Su

CVPRW 2021 Learning Contextual Causality Between Daily Events from Time-Consecutive Images Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth

AAAI 2021 Visual Pivoting for (Unsupervised) Entity Alignment Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier

ICLR 2020 Cross-Lingual Ability of Multilingual BERT: An Empirical Study Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth

NeurIPS 2020 Learnability with Indirect Supervision Signals Kaifu Wang, Qiang Ning, Dan Roth

ICLR 2020 Neural Module Networks for Reasoning over Text Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner

AAAI 2020 Robust Named Entity Recognition with Truecasing Pretraining Stephen Mayhew, Nitish Gupta, Dan Roth

IJCAI 2020 TransOMCS: From Linguistic Graphs to Commonsense Knowledge Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth

IJCAI 2019 Learning and Inference for Structured Prediction: A Unifying Perspective Aryan Deshwal, Janardhan Rao Doppa, Dan Roth

IJCAI 2019 Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth

AAAI 2018 Learning Better Name Translation for Cross-Lingual Wikification Chen-Tse Tsai, Dan Roth

NeurIPS 2018 Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P Xing

AAAI 2018 Question Answering as Global Reasoning over Semantic Abstractions Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth

IJCAI 2018 Systems AI: A Declarative Learning Based Programming Perspective Parisa Kordjamshidi, Dan Roth, Kristian Kersting

AAAI 2017 Incidental Supervision: Moving Beyond Supervised Learning Dan Roth

AAAI 2017 Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving Subhro Roy, Dan Roth

IJCAI 2016 Cross-Lingual Dataless Classification for Many Languages Yangqiu Song, Shyam Upadhyay, Haoruo Peng, Dan Roth

AAAI 2016 Labeling the Semantic Roles of Commas Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth

IJCAI 2016 Question Answering via Integer Programming over Semi-Structured Knowledge Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth

IJCAI 2015 Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang

ICML 2015 Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM Ching-Pei Lee, Dan Roth

IJCAI 2015 Saul: Towards Declarative Learning Based Programming Parisa Kordjamshidi, Dan Roth, Hao Wu

AAAI 2015 Structural Learning with Amortized Inference Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth

ICML 2014 A Discriminative Latent Variable Model for Online Clustering Rajhans Samdani, Kai-Wei Chang, Dan Roth

MLJ 2014 Introduction to the Special Issue on Learning Semantics Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer

MLJ 2014 Learning from Natural Instructions Dan Goldwasser, Dan Roth

AAAI 2014 On Dataless Hierarchical Text Classification Yangqiu Song, Dan Roth

IJCAI 2013 End-to-End Coreference Resolution for Clinical Narratives Prateek Jindal, Dan Roth

ECML-PKDD 2013 Multi-Core Structural SVM Training Kai-Wei Chang, Vivek Srikumar, Dan Roth

ICML 2012 Efficient Decomposed Learning for Structured Prediction Rajhans Samdani, Dan Roth

MLJ 2012 Structured Learning with Constrained Conditional Models Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth

IJCAI 2011 Learning from Natural Instructions Dan Goldwasser, Dan Roth

IJCAI 2011 Making Better Informed Trust Decisions with Generalized Fact-Finding Jeff Pasternack, Dan Roth

IJCAI 2011 Online Latent Structure Training for Language Acquisition Michael Connor, Cynthia Fisher, Dan Roth

AAAI 2011 Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011 Wolfram Burgard, Dan Roth

ECML-PKDD 2010 Automatic Model Adaptation for Complex Structured Domains Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth

ICML 2010 Structured Output Learning with Indirect Supervision Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth

AISTATS 2010 Unsupervised Aggregation for Classification Problems with Large Numbers of Categories Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth

ECML-PKDD 2009 Learning Multi-Linear Representations of Distributions for Efficient Inference Dan Roth, Rajhans Samdani

MLJ 2009 Learning Multi-Linear Representations of Distributions for Efficient Inference Dan Roth, Rajhans Samdani

AISTATS 2009 Sequential Learning of Classifiers for Structured Prediction Problems Dan Roth, Kevin Small, Ivan Titov

IJCAI 2009 Unsupervised Rank Aggregation with Domain-Specific Expertise Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov

AAAI 2008 Active Learning for Pipeline Models Dan Roth, Kevin Small

AAAI 2008 Importance of Semantic Representation: Dataless Classification Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar

AAAI 2008 Learning and Inference with Constraints Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo, Dan Roth

AAAI 2008 Proactive Intrusion Detection Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Srikumar

ICML 2008 Unsupervised Rank Aggregation with Distance-Based Models Alexandre Klementiev, Dan Roth, Kevin Small

IJCAI 2007 Maximum Margin Coresets for Active and Noise Tolerant Learning Sariel Har-Peled, Dan Roth, Dav Zimak

AAAI 2006 MPE and Partial Inversion in Lifted Probabilistic Variable Elimination Rodrigo de Salvo Braz, Eyal Amir, Dan Roth

ECML-PKDD 2006 Margin-Based Active Learning for Structured Output Spaces Dan Roth, Kevin Small

AISTATS 2005 A Uniform Convergence Bound for the Area Under the ROC Curve Shivani Agarwal, Sariel Har-Peled, Dan Roth

AAAI 2005 An Inference Model for Semantic Entailment in Natural Language Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons

IJCAI 2005 An Inference Model for Semantic Entailment in Natural Language Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons

JAIR 2005 Efficiency Versus Convergence of Boolean Kernels for On-Line Learning Algorithms Roni Khardon, Dan Roth, Rocco A. Servedio

JMLR 2005 Generalization Bounds for the Area Under the ROC Curve Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth

MLJ 2005 Guest Editors Introduction: Machine Learning in Speech and Language Technologies Pascale Fung, Dan Roth

ICML 2005 Integer Linear Programming Inference for Conditional Random Fields Dan Roth, Wen-tau Yih

COLT 2005 Learnability of Bipartite Ranking Functions Shivani Agarwal, Dan Roth

IJCAI 2005 Learning and Inference over Constrained Output Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak

IJCAI 2005 Lifted First-Order Probabilistic Inference Rodrigo de Salvo Braz, Eyal Amir, Dan Roth

IJCAI 2005 The Necessity of Syntactic Parsing for Semantic Role Labeling Vasin Punyakanok, Dan Roth, Wen-tau Yih

NeurIPS 2004 A Large Deviation Bound for the Area Under the ROC Curve Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth

AAAI 2004 Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches Xin Li, Paul Morie, Dan Roth

ICML 2003 Margin Distribution and Learning Ashutosh Garg, Dan Roth

ICML 2003 On Kernel Methods for Relational Learning Chad M. Cumby, Dan Roth

ECCV 2002 A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition Ming-Hsuan Yang, Dan Roth, Narendra Ahuja

NeurIPS 2002 Constraint Classification for Multiclass Classification and Ranking Sariel Har-Peled, Dan Roth, Dav Zimak

ALT 2002 Constraint Classification: A New Approach to Multiclass Classification Sariel Har-Peled, Dan Roth, Dav Zimak

ECCV 2002 Learning a Sparse Representation for Object Detection Shivani Agarwal, Dan Roth

ECML-PKDD 2002 Learning and Inference for Clause Identification Xavier Carreras, Lluís Màrquez, Vasin Punyakanok, Dan Roth

NeCo 2002 Learning to Recognize Three-Dimensional Objects Dan Roth, Ming-Hsuan Yang, Narendra Ahuja

ICML 2002 On Generalization Bounds, Projection Profile, and Margin Distribution Ashutosh Garg, Sariel Har-Peled, Dan Roth

ECML-PKDD 2002 Reasoning with Classifiers Dan Roth

NeurIPS 2001 Efficiency Versus Convergence of Boolean Kernels for On-Line Learning Algorithms Roni Khardon, Dan Roth, Rocco A. Servedio

ALT 2001 Learning Coherent Concepts Ashutosh Garg, Dan Roth

MLJ 2001 Linear Concepts and Hidden Variables Adam J. Grove, Dan Roth

IJCAI 2001 Relational Learning via Propositional Algorithms: An Information Extraction Case Study Dan Roth, Wen-tau Yih

ECML-PKDD 2001 Understanding Probabilistic Classifiers Ashutosh Garg, Dan Roth

ECCV 2000 Learning to Recognize 3D Objects with SNoW Ming-Hsuan Yang, Dan Roth, Narendra Ahuja

CVPR 2000 Learning to Recognize Objects Dan Roth, Ming-Hsuan Yang, Narendra Ahuja

NeurIPS 2000 The Use of Classifiers in Sequential Inference Vasin Punyakanok, Dan Roth

AAAI 2000 Toward a Theory of Learning Coherent Concepts Dan Roth, Dmitry Zelenko

NeurIPS 1999 A SNoW-Based Face Detector Ming-Hsuan Yang, Dan Roth, Narendra Ahuja

MLJ 1999 A Winnow-Based Approach to Context-Sensitive Spelling Correction Andrew R. Golding, Dan Roth

IJCAI 1999 Learning in Natural Language Dan Roth

MLJ 1999 Learning to Reason with a Restricted View Roni Khardon, Dan Roth

IJCAI 1999 Relational Learning for NLP Using Linear Threshold Elements Roni Khardon, Dan Roth, Leslie G. Valiant

CVPR 1998 Clustering Appearances of 3D Objects Ronen Basri, Dan Roth, David W. Jacobs

AAAI 1998 Learning to Resolve Natural Language Ambiguities: A Unified Approach Dan Roth

NeurIPS 1997 Linear Concepts and Hidden Variables: An Empirical Study Adam J. Grove, Dan Roth

AAAI 1996 A Connectionist Framework for Reasoning: Reasoning with Examples Dan Roth

ICML 1996 Applying Winnow to Context-Sensitive Spelling Correction Andrew R. Golding, Dan Roth

ICML 1996 Learning Active Classifiers Russell Greiner, Adam J. Grove, Dan Roth

MLJ 1996 On Learning Visual Concepts and DNF Formulae Eyal Kushilevitz, Dan Roth

IJCAI 1995 Default-Reasoning with Models Roni Khardon, Dan Roth

COLT 1995 Learning to Reason with a Restricted View Roni Khardon, Dan Roth

IJCAI 1995 Learning to Reason: The Non-Monotonic Case Dan Roth

AAAI 1994 Learning to Reason Roni Khardon, Dan Roth

COLT 1994 On Learning Read-K-Satisfy-J DNF Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth

AAAI 1994 Reasoning with Models Roni Khardon, Dan Roth

COLT 1993 On Learning Visual Concepts and DNF Formulae Eyal Kushilevitz, Dan Roth

IJCAI 1993 On the Hardness of Approximate Reasoning Dan Roth