Carbonell, Jaime G.

50 publications

NeurIPS 2021 Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang

IJCAI 2020 Harnessing Code Switching to Transcend the Linguistic Barrier Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell

AAAI 2020 Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau

AAAI 2020 Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell

AAAI 2019 Gradient-Based Inference for Networks with Output Constraints Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell

AAAI 2019 Zero-Shot Neural Transfer for Cross-Lingual Entity Linking Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell

ECML-PKDD 2018 Towards More Reliable Transfer Learning Zirui Wang, Jaime G. Carbonell

IJCAI 2017 Completely Heterogeneous Transfer Learning with Attention - What and What Not to Transfer Seungwhan Moon, Jaime G. Carbonell

ICLR 2017 Nonparametric Neural Networks George Philipp, Jaime G. Carbonell

IJCAI 2017 Self-Paced Multitask Learning with Shared Knowledge Keerthiram Murugesan, Jaime G. Carbonell

AAAI 2017 Vision-Language Fusion for Object Recognition Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh

JAIR 2016 Learning Concept Graphs from Online Educational Data Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell

ECML-PKDD 2016 Proactive Transfer Learning for Heterogeneous Feature and Label Spaces Seungwhan Moon, Jaime G. Carbonell

ALT 2015 Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks Liu Yang, Steve Hanneke, Jaime G. Carbonell

AAAI 2015 Unsupervised Phrasal Near-Synonym Generation from Text Corpora Dishan Gupta, Jaime G. Carbonell, Anatole Gershman, Steve Klein, David Miller

MLJ 2013 A Theory of Transfer Learning with Applications to Active Learning Liu Yang, Steve Hanneke, Jaime G. Carbonell

ECML-PKDD 2011 Feature Selection for Transfer Learning Selen Uguroglu, Jaime G. Carbonell

UAI 2011 Smoothing Proximal Gradient Method for General Structured Sparse Learning Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing

ALT 2010 Bayesian Active Learning Using Arbitrary Binary Valued Queries Liu Yang, Steve Hanneke, Jaime G. Carbonell

AAAI 2010 Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell

ICML 2008 Optimizing Estimated Loss Reduction for Active Sampling in Rank Learning Pinar Donmez, Jaime G. Carbonell

AAAI 2008 RADAR: A Personal Assistant That Learns to Reduce Email Overload Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen F. Smith, Aaron Steinfeld, Anthony Tomasic

IJCAI 2007 Cluster-Based Selection of Statistical Answering Strategies Lucian Vlad Lita, Jaime G. Carbonell

IJCAI 2007 Graph-Based Semi-Supervised Learning as a Generative Model Jingrui He, Jaime G. Carbonell, Yan Liu

NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection Jingrui He, Jaime G. Carbonell

IJCAI 2007 Protein Quaternary Fold Recognition Using Conditional Graphical Models Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele

ICML 2005 Predicting Protein Folds with Structural Repeats Using a Chain Graph Model Yan Liu, Eric P. Xing, Jaime G. Carbonell

ECML-PKDD 2003 A New Pairwise Ensemble Approach for Text Classification Yan Liu, Jaime G. Carbonell, Rong Jin

MLJ 2000 Special Issue of Machine Learning on Information Retrieval - Introduction Jaime G. Carbonell, Yiming Yang, William W. Cohen

AAAI 1999 Selecting Text Spans for Document Summaries: Heuristics and Metrics Vibhu O. Mittal, Mark Kantrowitz, Jade Goldstein, Jaime G. Carbonell

IJCAI 1997 Translingual Information Retrieval: A Comparative Evaluation Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee

IJCAI 1995 VERY Large Knowledge Bases - Architecture vs Engineering James A. Hendler, Jaime G. Carbonell, Douglas B. Lenat, Riichiro Mizoguchi, Paul S. Rosenbloom

MLJ 1993 Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization Manuela M. Veloso, Jaime G. Carbonell

MLJ 1992 Machine Learning: A Maturing Field Jaime G. Carbonell

MLJ 1991 Editorial Jaime G. Carbonell

MLJ 1989 Editorial Jaime G. Carbonell

MLJ 1989 Editorial Jaime G. Carbonell

IJCAI 1989 Towards a General Framework for Composing Disjunctive and Iterative Macro-Operators Peter Shell, Jaime G. Carbonell

IJCAI 1987 Strategies for Learning Search Control Rules: An Explanation-Based Approach Steven Minton, Jaime G. Carbonell

IJCAI 1987 The Universal Parser Architecture for Knowledge-Based Machine Translation Masaru Tomita, Jaime G. Carbonell

AAAI 1986 The FERMI System: Inducing Iterative Macro-Operators from Experience Patricia Cheng, Jaime G. Carbonell

IJCAI 1983 A Framework for Processing Corrections in Task-Oriented Dialogues Philip J. Hayes, Jaime G. Carbonell

AAAI 1983 Derivational Analogy and Its Role in Problem Solving Jaime G. Carbonell

IJCAI 1983 The XCALIBUR Project: A Natural Language Interface to Expert Systems Jaime G. Carbonell, W. Mark Boggs, Michael L. Mauldin, Peter G. Anick

AAAI 1982 Experiential Learning in Analogical Problem Solving Jaime G. Carbonell

IJCAI 1981 A Computational Model of Analogical Problem Solving Jaime G. Carbonell

IJCAI 1981 Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update Philip J. Hayes, Jaime G. Carbonell

AAAI 1980 DELTA-MIN: A Search-Control Method for Information-Gathering Problems Jaime G. Carbonell

IJCAI 1979 Computer Models of Human Personality Traits Jaime G. Carbonell

IJCAI 1979 The Counterplanning Process: Reasoning Under Adversity Jaime G. Carbonell