History of Best Paper Awards in AI, NLP, CV, PR, and ML

Conference List: AAAI, IJCAI, ACL, CVPR, ICCV, and ICML

 

AAAI (Artificial Intelligence)
2012	Document Summarization Based on Data Reconstruction	Zhanying He, Zhejiang University; et al.
	Learning SVM Classiiers with Indeinite Kernels	Suicheng Gu & Yuhong Guo, Temple University
2011	Dynamic Resource Allocation in Conservation Planning	Daniel Golovin, California Institute of Technology; et al.
	Complexity of and Algorithms for Borda Manipulation	Jessica Davies, University of Toronto; et al.
2010	How Incomplete Is Your Semantic Web Reasoner? Systematic Analysis of the Completeness of Query Ans...	Giorgos Stoilos, Oxford University; et al.
	A Novel Transition Based Encoding Scheme for Planning as Satisfiability	Ruoyun Huang, Washington University in St. Louis; et al.
2008	How Good is Almost Perfect?	Malte Helmert & Gabriele Röger, Albert-Ludwigs-Universität Freiburg
	Optimal False-Name-Proof Voting Rules with Costly Voting	Liad Wagman & Vincent Conitzer, Duke University
2007	PLOW: A Collaborative Task Learning Agent	James Allen, Institute for Human and Machine Cognition; et al.
	Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games	Colin McMillen & Manuela Veloso, Carnegie Mellon University
2006	Model Counting: A New Strategy for Obtaining Good Bounds	Carla P. Gomes, Cornell University; et al.
	Towards an Axiom System for Default Logic	Gerhard Lakemeyer, RWTH Aachen University
2005	The Max K- Armed Bandit: A New Model of Exploration Applied to Search Heuristic Selection	Vincent A. Cicirello, Drexel University
2004	Learning and Inferring Transportation Routines	Lin Liao, University of Washington; et al.
2002	On Computing All Abductive Explanations	Thomas Eiter, Technische Universität Wien
2000	The Game of Hex: An Automatic Theorem-Proving Approach to Game Programming	Vadim V. Anshelevich, Vanshel Consulting
1999	PROVERB: The Probabilistic Cruciverbalist	Greg A. Keim, Duke University; et al.
1998	Learning Evaluation Functions for Global Optimization and Boolean Satisfiability	Justin A. Boyan & Andrew W. Moore, Carnegie Mellon University
	Acceleration Methods for Numeric CSPs	Yahia Lebbah & Olivier Lhomme, Ecole des Mines de Nantes
	The Interactive Museum Tour-Guide Robot	Wolfram Burgard, University of Bonn; et al.
1997	Statistical Parsing with a Context-Free Grammar and Word Statistics	Eugene Charniak, Brown University
	A Practical Algorithm for Finding Optimal Triangulations	Krill Shoikhet & Dan Geiger, Technion
	Fast Context Switching in Real-Time Propositional Reasoning	P. Pandurang Nayak & Brian C. Williams, NASA Ames Research Center
	Building Concept Representations from Reusable Components	Peter Clark, Boeing
1996	Verification of Knowledge Bases Based on Containment Checking	Alon Y. Levy, AT&T Laboratories
	A Novel Application of Theory Refinement to Student Modeling	Paul T. Baffes, SciComp
	Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search	Henry Kautz & Bart Selman, AT&T Laboratories

 

 

IJCAI (Artificial Intelligence)
2011	Unweighted Coalitional Manipulation Under the Borda Rule is NP-Hard	Nadja Betzler, Technische Universität Berlin; et al.
	Nested Rollout Policy Adaptation for Monte Carlo Tree Search	Christopher D. Rosin, Parity Computing
	On the Decidability of Connectedness Constraints in 2D and 3D Euclidean Spaces	Roman Kontchakov, Birkbeck College London; et al.
2009	Consequence-Driven Reasoning for Horn SHIQ Ontologies	Yevgeny Kazakov, University of Oxford
	Learning Conditional Preference Networks with Queries	Frederic Koriche, Université Montpellier II
2007	Automated Heart Wall Motion Abnormality Detection From Ultrasound Images using Bayesian Networks	Maleeha Qazi, Siemens Medical Solutions; et al.
	Building Structure into Local Search for SAT	Duc Nghia Pham, Griffith University; et al.
	Performance Analysis of Online Anticipatory Algorithms for Large Multistage Stochastic Integer Pro...	Luc Mercier & Pascal Van Hentenryck, Brown University
2005	Learning Coordination Classifiers	Yuhong Guo, University of Alberta; et al.
	Solving Checkers	Jonathan Schaeffer, University of Alberta; et al.
	A Probabilistic Model of Redundancy in Information Extraction	Doug Downey, University of Washington; et al.
2003	Approximating Game-Theoretic Optimal Strategies for Full-scale Poker	Darse Billings, University of Alberta; et al.
	Thin Junction Tree Filters for Simultaneous Localization and Mapping	Mark A. Paskin, University of California Berkeley
2001	Complexity Results for Structure-Based Causality	Thomas Eiter & Thomas Lukasiewicz, Vienna University of Technology
1999	Learning in Natural Language	Dan Roth, University of Illinois at Urbana-Champaign
	A Distributed Case-Based Reasoning Application for Engineering Sales Support	Ian Watson, University of Salford
1997	Object Identification in a Bayesian Context	Timothy Huang & Stuart Russell, University of California Berkeley
	Translingual Information Retrieval: A Comparative Evaluation	Jaime G. Carbonell, Carnegie Mellon University; et al.
	Applications of the Situation Calculus to Formalizing Control and Strategic Information: The Prolo...	Fangzhen Lin, The Hongkong University of Science and Technology

 

 

ACL (Natural Language Processing)
2012	String Re-writing Kernel	Fan Bu, Tsinghua University; et al.
	Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing	Hiroyuki Shindo, NTT Communication Science Laboratories; et al.
2011	Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections	Dipanjan Das, Carnegie Mellon University
2010	Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates	Matthew Gerber & Joyce Y. Chai, Michigan State University
2009	Reinforcement Learning for Mapping Instructions to Actions	S.R.K. Branavan, Massachusetts Institute of Technology; et al.
	K-Best A* Parsing	Adam Pauls & Dan Klein, University of California Berkeley
	Concise Integer Linear Programming Formulations for Dependency Parsing	André F.T. Martins, Instituto de Telecomunicações; et al.
2008	Forest Reranking: Discriminative Parsing with Non-Local Features	Liang Huang, University of Pennsylvania
	A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model	Libin Shen, BBN Technologies; et al.
2007	Learning synchronous grammars for semantic parsing with lambda calculus	Yuk Wah Wong & Raymond J. Mooney, University of Texas at Austin
2006	Semantic taxonomy induction from heterogenous evidence	Rion Snow, Stanford University; et al.
2005	A Hierarchical Phrase-Based Model for Statistical Machine Translation	David Chiang, University of Maryland
2004	Finding Predominant Word Senses in Untagged Text	Diana McCarthy, University of Sussex; et al.
2003	Accurate Unlexicalized Parsing	Dan Klein & Christopher D. Manning, Stanford University
	Towards a Model of Face-to-Face Grounding	Yukiko I. Nakano, RISTEX; et al.
2002	Discriminative Training and Maximum Entropy Models for Statistical Machine Translation	Franz Josef Och & Hermann Ney, RWTH Aachen University
2001	Immediate-Head Parsing for Language Models	Eugene Charniak, Brown University
	Fast Decoding and Optimal Decoding for Machine Translation	Ulrich Germann, University of Southern California; et al.

 

 

CVPR (Computer Vision)
2012	A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization	Yuchao Dai, Northwestern Polytechnical University; et al.
2011	Real-time Human Pose Recognition in Parts from Single Depth Images	Jamie Shotton, Microsoft Research; et al.
2010	Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data usi...	Anders Eriksson & Anton va den Hendel, University of Adelaide
2009	Single Image Haze Removal Using Dark Channel Prior	Kaiming He, The Chinese University of Hong Kong; et al.
2008	Global Stereo Reconstruction under Second Order Smoothness Priors	Oliver Woodford, University of Oxford; et al.
	Beyond Sliding Windows: Object Localization by Efficient Subwindow Search	Chistoph H. Lampert, Max Planck Institut; et al.
2007	Dynamic 3D Scene Analysis from a Moving Vehicle	Bastian Leibe, ETH Zurich; et al.
2006	Putting Objects in Perspective	Derek Hoiem, Carnegie Mellon University; et al.
2005	Real-Time Non-Rigid Surface Detection	Julien Pilet, École Polytechnique Fédérale de Lausanne; et al.
2004	Programmable Imaging using a Digital Micromirror Array	Shree K. Nayar, Columbia University; et al.
2003	Object Class Recognition by Unsupervised Scale-Invariant Learning	Rob Fergus, University of Oxford; et al.
2001	Morphable 3D models from video	Matthew Brand, Mitsubishi Electric Research Laboratories
2000	Real-Time Tracking of Non-Rigid Objects using Mean Shift	Dorin Comaniciu, Siemens Corporate Research; et al.

 

 

ICCV (Computer Vision)
2011	Relative Attributes	Devi Parikh, Toyota Technological Institute at Chicago
2009	Discriminative models for multi-class object layout	Chaitanya Desai, University of California Irvine; et al.
2007	Population Shape Regression From Random Design Data	Bradley Davis, University of North Carolina at Chapel Hill; et al.
2005	Globally Optimal Estimates for Geometric Reconstruction Problems	Fredrik Kahl, Lund University
2003	Detecting Pedestrians using Patterns of Motion and Appearance	Paul Viola, Microsoft Research; et al.
	Image Parsing: Unifying Segmentation, Detection and Recognition	Zhuowen Tu, University of California Los Angeles; et al.
	Image-based Rendering using Image-based Priors	Andrew Fitzgibbon, University of Oxford; et al.
2001	Probabilistic Tracking with Exemplars in a Metric Space	Kentaro Toyama & Andrew Blake, Microsoft Research
	The Space of All Stereo Images	Steven Seitz, University of Washington
1999	Euclidean Reconstruction and Reprojection up to Subgroups	Yi Ma, University of California Berkeley; et al.
	A Theory of Shape by Space Carving	Kiriakos Kutulakos, University of Rochester
1998	Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Paramet...	Marc Pollefeys, Katholieke Universiteit Leuven; et al.
	The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences	Phil Torr, Microsoft Research; et al.

 

 

ICML (Machine Learning)
2012	Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring	Sungjin Ahn, University of California Irvine; et al.
2011	Computational Rationalization: The Inverse Equilibrium Problem	Kevin Waugh, Carnegie Mellon University; et al.
2010	Hilbert Space Embeddings of Hidden Markov Models	Le Song, Carnegie Mellon University; et al.
2009	Structure preserving embedding	Blake Shaw & Tony Jebara, Columbia University
2008	SVM Optimization: Inverse Dependence on Training Set Size	Shai Shalev-Shwartz & Nathan Srebro, Toyota Technological Institute at Chicago
2007	Information-theoretic metric learning	Jason V. Davis, University of Texas at Austin; et al.
2006	Trading convexity for scalability	Ronan Collobert, NEC Labs America; et al.
2005	A support vector method for multivariate performance measures	Thorsten Joachims, Cornell University
1999	Least-Squares Temporal Difference Learning	Justin A. Boyan, NASA Ames Research Center