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Home / About AAAI / AAAI Awards / AAAI Conference Paper Awards and Recognition

AAAI Conference Paper Awards and Recognition

The AAAI Conference on Artificial Intelligence (formerly the AAAI National Conference on Artificial Intelligence) honors papers that exemplify the highest standards in technical contribution and exposition. During the blind review process, members of the Program Committee recommend papers to consider for the Outstanding Paper Award in the main technical track and special tracks, as indicated. In 2021, an additional category of Distinguished Papers was added for special recognition.

Past Recipients

2022

AAAI-22 Outstanding Paper Award

Online Certification of Preference-based Fairness for Personalized Recommender Systems
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

Honorable Mention:
Bayesian Persuasion in Sequential Decision-Making
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

Honorable Mention:
Operator-Potential Heuristics for Symbolic Search
Daniel Fišer, Alvaro Torralba, Joerg Hoffmann

AAAI Distinguished Papers

In 2021, an additional category of Distinguished Papers was added for special recognition.

AAAI-22 Distinguished Papers
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning
Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation
Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

Online Elicitation of Necessarily Optimal Matchings
Jannik Peters

Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala, Marielle Stoelinga

Subset approximation of Pareto Regions with Bi-objective A*
Jorge A. Baier, Carlos Hernández, Nicolás Rivera

The SoftCumulative Constraint with Quadratic Penalty
Yanick Ouellet, Claude-Guy Quimper

AAAI Outstanding Student Papers

In 2022, an additional category of Distinguished Papers was added for special recognition.

Outstanding Student Paper
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
Pierre Colombo, Chloé Clavel, Pablo Piantanida

Honorable Mention:
Compilation of Aggregates in ASP Systems
Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro

Honorable Mention:
Entropy estimation via normalizing flow
Ziqiao Ao, Jinglai Li

Student Abstract Program Awards

Best Student Abstract:
Annotation Cost-Sensitive Deep Active Learning with Limited Data
Renaud Bernatchez, Audrey Durand and Flavie Lavoie-Cardinal

Honorable Mention:
On the Relation between Distributionally Robust Optimization and Data Curation
Agnieszka Słowik and Leon Bottou

2022 Best Demonstration Award

A Demonstration of Compositional, Hierarchical Interactive Task Learning
Aaron Mininger, John Laird


2021

AAAI-21 Outstanding Paper Award

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

AAAI-21 Outstanding Paper Award

Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
Stefanos Leonardos, Georgios Piliouras

Honorable Mention:
Learning from eXtreme Bandit Feedback
Romain Lopez, Inderjit S. Dhillon, Michael Jordan

Honorable Mention:
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
Yaru Hao, Li Dong, Furu Wei, Ke Xu

AAAI-21 Outstanding Paper Award: Special Track on AI for Social Impact

Mitigating Political Bias in Language Models through Reinforced Calibration
Ruibo Liu, Chenyan Jia, Jason W Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi

Honorable Mention:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

AAAI-21 Distinguished Papers

IQ – Incremental Learning for Solving QSAT
Thomas L Lee, Viktor Tóth, Sean B Holden

Ethically Compliant Sequential Decision Making
Justin Svegliato, Samer Nashed, Shlomo Zilberstein

On the Tractability of SHAP Explanations
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu

Expected Eligibility Traces
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, Andre Barreto, David Silver, Diana Borsa

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs
Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

Self-Supervised Multi-View Stereo via Effective Co-Segmentation and Data-Augmentation
Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu


2020

AAAI-20 Outstanding Paper Award

WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Honorable Mention:
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search
Vidal Alcazar, Pat Riddle, Mike Barley

AAAI-20 Outstanding Student Paper Award

Fair Division of Mixed Divisible and Indivisible Goods
Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu

Honorable Mention:
Lifelong Learning with a Changing Action Set
Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas

AAAI-20 Outstanding Paper Award: Special Track on AI for Social Impact

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier

Honorable Mention:
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research
John Kalantari, Heidi Nelson, Nicholas Chia


2019

AAAI-19 Outstanding Paper Award

How to Combine Tree-Search Methods in Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Honorable Mention
Solving Imperfect-Information Games with Discounted Counterfactual Regret Minimization
Noam Brown, Tuomas Sandholm

AAAI-19 Outstanding Student Paper Award

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike Wu, Milan Mosse, Noah Goodman, Chris Piech

Honorable Mention:
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei, Dong Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris Amato, Murray Campbell, Jonathan How


2018

AAAI-18 Outstanding Paper Award

Memory-Augmented Monte Carlo Tree Search
Chenjun Xiao, Jincheng Mei, and Martin Müller

Honorable Mention:
Generalized Adjustment under Confounding and Selection Biases
Juan D. Correa, Jin Tian, Elias Bareinboim

AAAI-18 Outstanding Student Paper Award

Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson

Honorable Mention:
Adapting a Kidney Exchange Algorithm to Align with Human Values
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer


2017

AAAI-17 Outstanding Paper Award

Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
Russell Stewart and Stefano Ermon

AAAI-17 Outstanding Student Paper Award

The Option-Critic Architecture
Pierre-Luc Bacon, Jean Harb, and Doina Precup


2016

AAAI-16 Outstanding Paper Award

Bidirectional Search That Is Guaranteed to Meet in the Middle
Robert C. Holte, Ariel Felner, Guni Sharon, and Nathan R. Sturtevant

AAAI-16 Outstanding Student Paper Award

Toward a Taxonomy and Computational Models of Abnormalities in Images
Babak Saleh, Ahmed Elgammal, Jacob Feldman, and Ali Farhadi


2015

AAAI-15 Outstanding Paper Awards

From Non-Negative to General Operator Cost Partitioning
Florian Pommerening, Malte Helmert, Gabriele Röger and Jendrik Seipp

Honorable Mention:
Predicting the Demographics of Twitter Users from Website Traffic Data
Aron Culotta, Nirmal Kumar Ravi, Jennifer Cutler

AAAI-15 Outstanding Student Paper Award

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace
Chaochao Lu and Xiaoou Tang

Honorable Mention:
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer’s Disease
Shandian Zhe, Zenglin Xu, Yuan Qi and Peng Yu


2014

AAAI-14 Outstanding Paper Awards

Recovering from Selection Bias in Causal and Statistical Inference
Elias Bareinboim, Jin Tian, Judea Pearl

Honorable Mention:
Placement of Loading Stations for Electric Vehicles: No Detours Necessary!
Stefan Funke, André Nusser, Sabine Storandt

Honorable Mention:
Manifold Learning for Jointly Modeling Topic and Visualization
Tuan M. V. Le, Hady W. Lauw

Honorable Mention:
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference
Mathias Niepert, Guy Van den Broeck

Honorable Mention:
Generalized Label Reduction for Merge-and-Shrink Heuristics
Silvan Sievers, Martin Wehrle, Malte Helmert


2013

AAAI-13 Outstanding Paper Awards

SMILe: Shuffled Multiple-Instance Learning
Gary Doran and Soumya Ray

HC-Search: Learning Heuristics and Cost Functions for Structured Prediction
Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli

Honorable Mention:
On the Value of Using Group Discounts under Price Competition
Reshef Meir, Tyler Lu, Moshe Tennenholtz, and Craig Boutilier
For Outstanding Technical Quality and Clarity of Presentation

Honorable Mention:
PAC Optimal Exploration in Continuous Space Markov Decision Processes
Jason Pazis and Ronald Parr
For Outstanding Formal Analysis

Honorable Mention:
Sensitivity of Diffusion Dynamics to Network Uncertainty
Abhijin Adiga, Chris Kuhlman, Henning S. Mortveit, and Anil Kumar S. Vullikanti
For Outstanding Novelty of Research Question

Honorable Mention:
Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers
Mengqiu Wang, Wanxiang Che, and Christopher D. Manning
For Outstanding Engineering Design


2012

AAAI-12 Outstanding Paper Awards

Learning SVM Classifiers with Indefinite Kernels
Suicheng Gu, Yuhong Guo

Document Summarization Based on Data Reconstruction
Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

Honorable Mention:
Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits
Long Tran-Thanh, Archie Chapman, Alex Rogers, Nicholas R. Jennings

Honorable Mention:
Predicting Disease Transmission from Geo-Tagged Micro-Blog Data
Adam Sadilek, Henry Kautz, Vincent Silenzio


2011

AAAI-11 Outstanding Paper Awards

Complexity of and Algorithms for Borda Manipulation
Jessica Davies, George Katsirelos, Nina Narodytska, Toby Walsh

Computational Sustainability and Artificial Intelligence Track: Dynamic Resource Allocation in Conservation Planning
Daniel Golovin, Andreas Krause, Beth Gardner, Sarah J. Converse, Steve Morey


2010

AAAI-10 Outstanding Paper Awards

A Novel Transition Based Encoding Scheme for Planning as Satisfiability
Ruoyun Huang, Yixin Chen, Weixiong Zhang (Washington University in St. Louis)

AI and the Web Track:
How Incomplete Is Your Semantic Web Reasoner? Systematic Analysis of the Completeness of Query Answering Systems
Giorgos Stoilos, Bernardo Cuenca Grau, Ian Horrocks (Oxford University)


2008

AAAI-08 Outstanding Paper Awards

Optimal False-Name-Proof Voting Rules with Costly Voting
Liad Wagman and Vincent Conitzer (Duke University)

How Good is Almost Perfect?
Malte Helmert and Gabriele Röger (Albert-Ludwigs-Universität Freiburg)

Honorable Mention:
On the Progression of Situation Calculus Basic Action Theories: Resolving a 10-year-old Conjecture
Stavros Vassos and Hector J. Levesque (University of Toronto)


2007

AAAI-07 Outstanding Paper Awards

PLOW: A Collaborative Task Learning Agent
James Allen (Institute for Human and Machine Cognition), Nathanael Chambers (Stanford University), George Ferguson (University of Rochester), Lucian Galescu and Hyuckchul Jung (Institute for Human and Machine Cognition), Mary Swift (University of Rochester), and William Taysom (Institute for Human and Machine Cognition)

Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
Colin McMillen and Manuela Veloso (Carnegie Mellon University)


2006

AAAI-06 Outstanding Paper Awards

Model Counting: A New Strategy for Obtaining Good Bounds
Carla P. Gomes, Ashish Sabharwal, and Bart Selman (Cornell University)

Towards an Axiom System for Default Logic
Gerhard Lakemeyer (Aachen University of Technology), and Hector J. Levesque (University of Toronto)


2005

AAAI-05 Outstanding Paper Award

The Max K- Armed Bandit: A New Model of Exploration Applied to Search Heuristic Selection
Vincent A. Cicirello, Drexel University, and Stephen F. Smith, Carnegie Mellon University


2004

AAAI-04 Outstanding Paper Awards

Learning and Inferring Transportation Routines
Lin Liao, Dieter Fox, and Henry Kautz, University of Washington

Honorable Mention:
Interactive Information Extraction with Constrained Conditional Random Fields
Trausti Krisjansson, Microsoft Research; Aron Culotta, University of Massachusetts Amherst; Paul Viola, Microsoft Research; and Andrew McCallum, University of Massachusetts Amherst

Honorable Mention:
Loop Formulas for Circumscription
Joohyung Lee, University of Texas Austin and Fangzhen Lin, Hong Kong University of Science and Technology


2002

AAAI-02 Outstanding Paper Awards

On Computing All Abductive Explanations
Thomas Eiter, Technische Universität Wien; and Kazuhisa Makino, Osaka University


2000

AAAI-2000 Outstanding Paper Awards

The Game of Hex: An Automatic Theorem-Proving Approach to Game Programming
Vadim V. Anshelevich, Vanshel Consulting

Automatic Invention of Integer Sequences
Simon Colton and Alan Bundy, University of Edinburgh; Toby Walsh, University of York

Statistics-Based Summarization — Step One: Sentence Compression
Kevin Knight and Daniel Marcu, University of Southern California

Local Search Characteristics of Incomplete SAT Procedures
Dale Schuurmans and Finnegan Southey, University of Waterloo


1999

AAAI-99 Outstanding Paper Award

PROVERB: The Probabilistic Cruciverbalist
Greg A. Keim, Noam M. Shazeer, Michael L. Littman, Sushant Agarwal, Catherine M. Cheves, Joseph Fitzgerald, Jason Grosland, Fan Jiang, Shannon Pollard and Karl Weinmeister, Duke University


1998

AAAI-98 Outstanding Paper Awards

Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
Justin A. Boyan and Andrew W. Moore, Carnegie Mellon University

The Interactive Museum Tour-Guide Robot
Wolfram Burgard, Armin B. Cremers, Dieter Fox and Dirk Hähnel, University of Bonn; Gerhard Lakemeyer, Aachen University of Technology; Dirk Schulz and Walter Steiner, University of Bonn; Sebastian Thrun, Carnegie Mellon University

Acceleration Methods for Numeric CSPs
Yahia Lebbah and Olivier Lhomme, Ecole des Mines de Nantes – La Chantrerie


1997

AAAI-97 Best Paper Awards

Statistical Parsing with a Context-Free Grammar and Word Statistics
Eugene Charniak, Brown University

Building Concept Representations from Reusable Components
Peter Clark, The Boeing Company and Bruce Porter, University of Texas at Austin

Fast Context Switching in Real-Time Propositional Reasoning
P. Pandurang Nayak and Brian C. Williams, NASA Ames Research Center

A Practical Algorithm for Finding Optimal Triangulations
Kirill Shoikhet and Dan Geiger, Technion, Israel


1996

AAAI-96 Best Paper Awards

A Novel Application of Theory Refinement to Student Modeling
Paul T. Baffes, SciComp, Inc. and Raymond J. Mooney, University of Texas at Austin

Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search
Henry Kautz and Bart Selman, AT&T Laboratories

Verification of Knowledge Bases Based on Containment Checking
Alon Y. Levy, AT&T Research and Marie-Christine Rousset, University of Paris-Sud


1994

AAAI-94 Outstanding Paper Award

A Prototype Reading Coach that Listens
Jack Mostow, Steven F. Roth, Alexander G. Hauptmann and Matthew Kane, Carnegie Mellon University


1993

AAAI-93 Best Written Paper Award

Equations for Part-of-Speech Tagging
Eugene Charniak, Curtis Hendrickson, Neil Jacobson and Mike Perkowitz, Brown University

Honorable Mentions

Planning With Deadlines in Stochastic Domains
Thomas Dean, Leslie Pack Kaelbling, Jak Kirman and Ann Nicholson, Brown University

Reasoning With Characteristic Models
Henry A. Kautz, Michael J. Kearns and Bart Selman, AT&T Bell Laboratories

The Paradoxical Success of Fuzzy Logic
Charles Elkan, UC San Diego


1992

AAAI-92 Best Written Paper Award

Hard and Easy Distribution of SAT Problems
David Mitchell, Bart Selman, and Hector Levesque

Honorable Mention

On the Minimality and Decomposability of Constraint Networks
Peter van Beek


1991

AAAI-91 Best Written Paper Award

Improving Rule-Based Systems through Case-Based Reasoning
Andrew R. Golding and Paul S. Rosenbloom

Honorable Mentions

Learning with Many Irrelevant Features
Hussein Almuallim and Thomas Dietterich

A Cognitively Plausible Approach to Understanding Complex Syntax
Claire Cardie and Wendy Lehnert

Complexity Results for Blocks-World Planning
Naresh Gupta and Dana S. Nau


1988

1988 Best Paper Awards

Qualitative Results Concerning the Utility of Explanation-Based Learning
Steven Minton, Carnegie Mellon University

Approach to Qualitative Algebraic Reasoning
Brian C. Williams, Massachusetts Institute of Technology


1987

1987 Best Paper Awards

Incremental Causal Reasoning
Thomas Dean and Mark Boddy, Brown University

An Approach to Default Reasoning Based on a First-Order Conditional Logic
James P. Delgrande, Simon Fraser University

PROMPT: An Innovative Design Tool
Seshashayee S. Murthy and Sanjaya Addanki, IBM T. J . Watson Research Center

Curing Anomalous Extensions
Paul Morris, IntelliCorp

Non-Deterministic Lisp with Dependency-directed Backtracking
Ramin Zabih, David McAllester, and David Chapman, MIT Artificial Intelligence Laboratory

Defining Operationality for Explanation-based Learning
Richard M. Keller, Rutgers University

Word-Order Variation in Natural Language Generation
Aravind K. Joshi, University of Pennsylvania

Energy Constraints on Deformable Models: Recovering Shape and Non-Rigid Motion
Demetri Terzopoulos, Andrew Witkin, and Michael Kass, Schlumberger Palo Alto Research


1986

1986 Publisher’s Prize

Default Reasoning, Nonmonotonic Logics, and the Frame Problem
Steve Hanks and Drew McDermott, Yale University

Generating Tests by Exploiting Designed Behavior
Mark Harper Shirley, MIT AI Laboratory


1984

1984 Publisher’s Prize

The Tractability of Subsumption in Frame-Based Description Languages
Ronald J. Brachman and Hector J. Levesque, Fairchild Laboratory for Artificial Intelligence Research

Choices without Backtracking
Johan de Kleer, Xerox Palo Alto Research Center

A Logic of Implicit and Explicit Belief
Hector J. Levesque, Fairchild Laboratory for Artificial Intelligence Research

Shading into Texture
Alex P. Pentland, SRI International

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