{"id":19858,"date":"2023-01-22T13:59:45","date_gmt":"2023-01-22T17:59:45","guid":{"rendered":"https:\/\/aaaiprod.wpengine.com\/?page_id=19858"},"modified":"2025-03-04T12:43:57","modified_gmt":"2025-03-04T17:43:57","slug":"aaai-conference-paper-awards-and-recognition","status":"publish","type":"page","link":"https:\/\/aaai.org\/about-aaai\/aaai-awards\/aaai-conference-paper-awards-and-recognition\/","title":{"rendered":"AAAI Conference Paper Awards and Recognition"},"content":{"rendered":"\n
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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.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Past Recipients<\/h2>\n\n\n\n

2025<\/strong><\/h3>\n\n\n\n

AAAI-25 Outstanding Paper Awards<\/h4>\n\n\n\n

These papers exemplify the highest standards in technical contribution and exposition.<\/p>\n\n\n\n

Every Bit Helps: Achieving the Optimal Distortion with a Few Queries
<\/strong>Soroush Ebadian, Nisarg Shah<\/p>\n\n\n\n

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
<\/strong>Wen-Chao Hu, Wang-Zhou Dai ,Yuan Jiang, Zhi-Hua Zhou<\/p>\n\n\n\n

Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
<\/strong>Marius Belly, Nathana\u00ebl Fijalkow, Hugo Gimbert, Florian Horn, Guillermo Perez, Pierre Vandenhove<\/p>\n\n\n\n

AAAI-25 Outstanding Paper Award \u2013 AI for Social Alignment Track<\/h4>\n\n\n\n

DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets
<\/strong>Elena Sierra; Lauren Gillespie; Moises Exposito Alonso<\/p>\n\n\n\n

AAAI-25 Best Poster Award<\/h4>\n\n\n\n

Computing Game Symmetries and Equilibria That Respect Them
<\/strong>Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Tuomas Sandholm, Vincent Conitzer<\/p>\n\n\n\n

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
<\/strong>Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov<\/p>\n\n\n\n

Eliminating Majority Illusion is Easy
<\/strong>Jack Dippel, Max Dupre la Tour, April Niu, Sanjukta Roy, Adrian Vetta<\/p>\n\n\n\n

AAAI-25 Outstanding Student Papers<\/h4>\n\n\n\n
Student Abstract Program Awards<\/h5>\n\n\n\n

Multi-Modal Hand-to-Mouth Gesture Recognition in Activity-Oriented RGB-Thermal Footage
<\/strong>Glenn Fernandes<\/p>\n\n\n\n

Understanding Unique Behavioral Patterns through Multimodal Analysis of Eye-Hand Coordination in Autistic Children
<\/strong>Emily Yu<\/p>\n\n\n\n

AAAI-25 Demonstration Awards<\/h4>\n\n\n\n

Neurosymbolic Reinforcement Learning: Playing MiniHack With Probabilistic Logic Shields
<\/strong>David Debot; Gabriele Venturato; Giuseppe Marra; Luc De Raedt<\/p>\n\n\n\n

MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students
<\/strong>Benyamin Tabarsi; Aditya Basarkar; Xukun Liu; Dongkuan (DK) Xu; Tiffany Barnes<\/p>\n\n\n\n

<\/div>\n\n\n\n

2024<\/h3>\n\n\n\n

AAAI-24 Outstanding Paper Award<\/h4>\n\n\n\n

These papers exemplify the highest standards in technical contribution and exposition.<\/p>\n\n\n\n

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles<\/strong>
Chen Li; Yoshihiro Yamanishi            <\/p>\n\n\n\n

Reliable Conflictive Multi-view Learning
<\/strong>Cai Xu; Jiajun Si; Ziyu Guan; Wei Zhao; Yue Wu; Xiyue Gao<\/p>\n\n\n\n

Proportional Aggregation of Preferences for Sequential Decision Making
<\/strong>Nikhil Chandak; Shashwat Goel; Dominik Peters    <\/p>\n\n\n\n

Best Paper for\u00a0the AI for Social Impact track at AAAI-2024<\/h4>\n\n\n\n

DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling<\/strong><\/p>\n\n\n\n

Gustavo Perez; Subhransu Maji; Daniel Sheldon<\/p>\n\n\n\n

Honorable Mention:<\/em><\/p>\n\n\n\n

Nowcasting Temporal Trends Using Indirect Surveys<\/strong><\/p>\n\n\n\n

Ajitesh Srivastava, Juan Marcos Ramirez, Sergio D\u00edaz, Jose Aguilar, Antonio Fern\u00e1ndez Anta, Antonio Ortega, Rosa Lillo<\/p>\n\n\n\n

Best Student Paper for the AI for Social Impact track at AAAI-2024<\/h4>\n\n\n\n

Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon<\/strong><\/p>\n\n\n\n

Marc Grimson; Rafael Almeida; Qinru Shi; Yiwei Bai; Hector Angarita; Felipe Siqueira Pacheco; Rafael Schmitt; Alexander Flecker; Carla Gomes<\/p>\n\n\n\n

Honorable Mention:<\/em><\/p>\n\n\n\n

Is My Prediction Arbitrary? The Confounding Effects of Variance in Fair Classification Benchmarks<\/strong><\/p>\n\n\n\n

A. Feder Cooper; Katherine Lee; Madiha Choksi; Solon Barocas; Christopher De Sa; James Grimmelmann; Jon Kleinberg; Siddhartha Sen; Baobao Zhang<\/p>\n\n\n\n

Student Abstract Program Awards<\/h4>\n\n\n\n

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-series Interpretation
<\/strong>Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry and Artur Dubrawski<\/p>\n\n\n\n

Strategic Recommendation: Revenue Optimal Matching for Online Platforms
<\/strong>Luca D\u2019Amico-Wong, Gary Qiurui Ma and David Parkes<\/p>\n\n\n\n

Best Demonstration Award<\/h4>\n\n\n\n

Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning
<\/strong>Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns<\/p>\n\n\n\n

<\/div>\n\n\n\n

2023<\/h3>\n\n\n\n

AAAI-23 Outstanding Paper Award<\/h4>\n\n\n\n

Misspecification in Inverse Reinforcement Learning<\/strong><\/p>\n\n\n\n

Joar Skalse and Alessandro Abate<\/p>\n\n\n\n

<\/p>\n\n\n\n

AAAI-23 Distinguished Paper Award<\/h4>\n\n\n\n

DropMessage: Unifying Random Dropping for Graph Neural Networks<\/strong> <\/p>\n\n\n\n

Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang<\/p>\n\n\n\n

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Two Heads are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation<\/strong><\/p>\n\n\n\n

Pengfei Ren, Yuchen Chen, Jiachang Hao, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao<\/p>\n<\/div><\/div>\n\n\n\n

Neural Architecture Search for Wide Spectrum Adversarial Robustness<\/strong><\/p>\n\n\n\n

Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu<\/p>\n\n\n\n

CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU<\/strong><\/p>\n\n\n\n

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You<\/p>\n\n\n\n

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification<\/strong><\/p>\n\n\n\n

Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu<\/p>\n\n\n\n

Exploring Tuning Characteristics of Ventral Stream\u2019s Neurons for Few-Shot Image Classification<\/strong><\/p>\n\n\n\n

Lintao Dong, Wei Zhai Zheng-Jun Zha<\/p>\n\n\n\n

MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation<\/strong><\/p>\n\n\n\n

Shida Zheng, Chenshu Chen, Xi Yang, Wenming Tan<\/p>\n\n\n\n

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification       <\/strong><\/p>\n\n\n\n

Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao<\/p>\n\n\n\n

XRand: Differentially Private Defense against Explanation-Guided Attacks           <\/strong><\/p>\n\n\n\n

Truc Nguyen, Phung Lai, Hai Phan, My T. Thai<\/p>\n\n\n\n

Clustering What Matters: Optimal Approximation for Clustering with Outliers   <\/strong><\/p>\n\n\n\n

Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue<\/p>\n\n\n\n

Robust Average-Reward Markov Decision Processes      <\/strong><\/p>\n\n\n\n

Yue Wang, Alvaro Velasquez, George Atia, Ashley Prater-Bennette, Shaofeng Zou<\/p>\n\n\n\n

Efficient Answer Enumeration in Description Logics with Functional Roles<\/strong><\/p>\n\n\n\n

Carsten Lutz, Marcin Przybylko<\/p>\n\n\n\n

<\/p>\n\n\n\n

AAAI Outstanding Student Papers <\/h4>\n\n\n\n

In 2022, an additional category of Distinguished Papers was added for special recognition.<\/em><\/p>\n\n\n\n

Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation<\/strong> <\/p>\n\n\n\n

Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, Lin Luo<\/p>\n\n\n\n

<\/p>\n\n\n\n

Student Abstract Program Awards<\/h4>\n\n\n\n

Best Student Abstract:<\/em>
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification<\/strong>
R\u0103zvan-Alexandru Sm\u0103du, George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Mihai Dascalu and Florin Pop<\/p>\n\n\n\n

Honorable Mentions:<\/em>
On the Relation between Distributionally RobusAnti-Drifting Feature Selection via Deep Reinforcement Learning<\/strong>
Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu and Xiaoyang Liu<\/p>\n\n\n\n

Can Graph Neural Networks Learn to Solve the MaxSAT Problem?<\/strong><\/p>\n\n\n\n

Minghao Liu, Pei Huang, Fuqi Jia, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma and Jian Zhang<\/p>\n\n\n\n

2022 Best Demonstration Award<\/h4>\n\n\n\n

A Demonstration of Compositional, HierSudoku Assistant – An AI-powered app to help solve pen-and-paper Sudokus<\/strong>
Tias Guns, Emilio Gamba, Maxime Mulamba Ke Tchomba, Ignace Bleukx, Senne Berden and Milan Pesa<\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/div>\n\n\n\n

2022<\/h3>\n\n\n\n

AAAI-22 Outstanding Paper Award<\/h4>\n\n\n\n

Online Certification of Preference-based Fairness for Personalized Recommender Systems<\/strong>
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier<\/p>\n\n\n\n

Honorable Mention:<\/em>
Bayesian Persuasion in Sequential Decision-Making<\/strong>
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla<\/p>\n\n\n\n

Honorable Mention:<\/em>
Operator-Potential Heuristics for Symbolic Search<\/strong>
Daniel Fi\u0161er, Alvaro Torralba, Joerg Hoffmann<\/p>\n\n\n\n

AAAI Distinguished Papers<\/h4>\n\n\n\n

In 2021, an additional category of Distinguished Papers was added for special recognition.<\/p>\n\n\n\n

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

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation<\/strong>
Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordstr\u00f6m<\/p>\n\n\n\n

Online Elicitation of Necessarily Optimal Matchings<\/strong>
Jannik Peters<\/p>\n\n\n\n

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

Subset approximation of Pareto Regions with Bi-objective A*<\/strong>
Jorge A. Baier, Carlos Hern\u00e1ndez, Nicol\u00e1s Rivera<\/p>\n\n\n\n

The SoftCumulative Constraint with Quadratic Penalty<\/strong>
Yanick Ouellet, Claude-Guy Quimper<\/p>\n\n\n\n

AAAI Outstanding Student Papers<\/h4>\n\n\n\n

In 2022, an additional category of Distinguished Papers was added for special recognition.<\/p>\n\n\n\n

Outstanding Student Paper<\/em>
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation<\/strong>
Pierre Colombo, Chlo\u00e9 Clavel, Pablo Piantanida<\/p>\n\n\n\n

Honorable Mention:<\/em>
Compilation of Aggregates in ASP Systems<\/strong>
Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro<\/p>\n\n\n\n

Honorable Mention:<\/em>
Entropy estimation via normalizing flow<\/strong>
Ziqiao Ao, Jinglai Li<\/p>\n\n\n\n

Student Abstract Program Awards<\/h4>\n\n\n\n

Best Student Abstract:<\/em>
Annotation Cost-Sensitive Deep Active Learning with Limited Data<\/strong>
Renaud Bernatchez, Audrey Durand and Flavie Lavoie-Cardinal<\/p>\n\n\n\n

Honorable Mention:<\/em>
On the Relation between Distributionally Robust Optimization and Data Curation<\/strong>
Agnieszka S\u0142owik and Leon Bottou<\/p>\n\n\n\n

2022 Best Demonstration Award<\/h4>\n\n\n\n

A Demonstration of Compositional, Hierarchical Interactive Task Learning<\/strong>
Aaron Mininger, John Laird<\/p>\n\n\n\n

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2021<\/h3>\n\n\n\n

AAAI-21 Outstanding Paper Award<\/h4>\n\n\n\n

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting<\/strong>
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang<\/p>\n\n\n\n

AAAI-21 Outstanding Paper Award<\/h4>\n\n\n\n

Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory<\/strong>
Stefanos Leonardos, Georgios Piliouras<\/p>\n\n\n\n

Honorable Mention:<\/em>
Learning from eXtreme Bandit Feedback<\/strong>
Romain Lopez, Inderjit S. Dhillon, Michael Jordan<\/p>\n\n\n\n

Honorable Mention:<\/em>
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer<\/strong>
Yaru Hao, Li Dong, Furu Wei, Ke Xu<\/p>\n\n\n\n

AAAI-21 Outstanding Paper Award: Special Track on AI for Social Impact<\/h4>\n\n\n\n

Mitigating Political Bias in Language Models through Reinforced Calibration<\/strong>
Ruibo Liu, Chenyan Jia, Jason W Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi<\/p>\n\n\n\n

Honorable Mention:<\/em>
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security<\/strong>
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe<\/p>\n\n\n\n

AAAI-21 Distinguished Papers<\/h4>\n\n\n\n

IQ \u2013 Incremental Learning for Solving QSAT<\/strong>
Thomas L Lee, Viktor T\u00f3th, Sean B Holden<\/p>\n\n\n\n

Ethically Compliant Sequential Decision Making<\/strong>
Justin Svegliato, Samer Nashed, Shlomo Zilberstein<\/p>\n\n\n\n

On the Tractability of SHAP Explanations<\/strong>
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu<\/p>\n\n\n\n

Expected Eligibility Traces<\/strong>
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, Andre Barreto, David Silver, Diana Borsa<\/p>\n\n\n\n

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs<\/strong>
Marcel Wien\u00f6bst, Max Bannach, Maciej Liskiewicz<\/p>\n\n\n\n

Self-Supervised Multi-View Stereo via Effective Co-Segmentation and Data-Augmentation<\/strong>
Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu<\/p>\n\n\n\n

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2020<\/h3>\n\n\n\n

AAAI-20 Outstanding Paper Award<\/h4>\n\n\n\n

WinoGrande: An Adversarial Winograd Schema Challenge at Scale<\/strong>
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi<\/p>\n\n\n\n

Honorable Mention:<\/em>
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search<\/strong>
Vidal Alcazar, Pat Riddle, Mike Barley<\/p>\n\n\n\n

AAAI-20 Outstanding Student Paper Award<\/h4>\n\n\n\n

Fair Division of Mixed Divisible and Indivisible Goods<\/strong>
Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu<\/p>\n\n\n\n

Honorable Mention:<\/em>
Lifelong Learning with a Changing Action Set<\/strong>
Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas<\/p>\n\n\n\n

AAAI-20 Outstanding Paper Award: Special Track on AI for Social Impact<\/h4>\n\n\n\n

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning<\/strong>
Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, V\u00e9ronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier<\/p>\n\n\n\n

Honorable Mention:<\/em>
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research<\/strong>
John Kalantari, Heidi Nelson, Nicholas Chia<\/p>\n\n\n\n

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2019<\/h3>\n\n\n\n

AAAI-19 Outstanding Paper Award<\/h4>\n\n\n\n

How to Combine Tree-Search Methods in Reinforcement Learning<\/strong>
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor<\/p>\n\n\n\n

Honorable Mention<\/em>
Solving Imperfect-Information Games with Discounted Counterfactual Regret Minimization<\/strong>
Noam Brown, Tuomas Sandholm<\/p>\n\n\n\n

AAAI-19 Outstanding Student Paper Award<\/h4>\n\n\n\n

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference<\/strong>
Mike Wu, Milan Mosse, Noah Goodman, Chris Piech<\/p>\n\n\n\n

Honorable Mention:<\/em>
Learning to Teach in Cooperative Multiagent Reinforcement Learning<\/strong>
Shayegan Omidshafiei, Dong Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris Amato, Murray Campbell, Jonathan How<\/p>\n\n\n\n

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2018<\/h3>\n\n\n\n

AAAI-18 Outstanding Paper Award<\/h4>\n\n\n\n

Memory-Augmented Monte Carlo Tree Search<\/strong>
Chenjun Xiao, Jincheng Mei, and Martin M\u00fcller<\/p>\n\n\n\n

Honorable Mention:<\/em>
Generalized Adjustment under Confounding and Selection Biases<\/strong>
Juan D. Correa, Jin Tian, Elias Bareinboim<\/p>\n\n\n\n

AAAI-18 Outstanding Student Paper Award<\/h4>\n\n\n\n

Counterfactual Multi-Agent Policy Gradients<\/strong>
Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson<\/p>\n\n\n\n

Honorable Mention:<\/em>
Adapting a Kidney Exchange Algorithm to Align with Human Values<\/strong>
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer<\/p>\n\n\n\n

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2017<\/h3>\n\n\n\n

AAAI-17 Outstanding Paper Award<\/h4>\n\n\n\n

Label-Free Supervision of Neural Networks with Physics and Domain Knowledge<\/strong>
Russell Stewart and Stefano Ermon<\/p>\n\n\n\n

AAAI-17 Outstanding Student Paper Award<\/h4>\n\n\n\n

The Option-Critic Architecture<\/strong>
Pierre-Luc Bacon, Jean Harb, and Doina Precup<\/p>\n\n\n\n

\n\n\n\n

2016<\/h3>\n\n\n\n

AAAI-16 Outstanding Paper Award<\/h4>\n\n\n\n

Bidirectional Search That Is Guaranteed to Meet in the Middle<\/strong>
Robert C. Holte, Ariel Felner, Guni Sharon, and Nathan R. Sturtevant<\/p>\n\n\n\n

AAAI-16 Outstanding Student Paper Award<\/h4>\n\n\n\n

Toward a Taxonomy and Computational Models of Abnormalities in Images<\/strong>
Babak Saleh, Ahmed Elgammal, Jacob Feldman, and Ali Farhadi<\/p>\n\n\n\n

\n\n\n\n

2015<\/h3>\n\n\n\n

AAAI-15 Outstanding Paper Awards<\/h4>\n\n\n\n

From Non-Negative to General Operator Cost Partitioning<\/strong>
Florian Pommerening, Malte Helmert, Gabriele R\u00f6ger and Jendrik Seipp<\/p>\n\n\n\n

Honorable Mention:<\/em>
Predicting the Demographics of Twitter Users from Website Traffic Data<\/strong>
Aron Culotta, Nirmal Kumar Ravi, Jennifer Cutler<\/p>\n\n\n\n

AAAI-15 Outstanding Student Paper Award<\/h4>\n\n\n\n

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace<\/strong>
Chaochao Lu and Xiaoou Tang<\/p>\n\n\n\n

Honorable Mention:<\/em>
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer’s Disease<\/strong>
Shandian Zhe, Zenglin Xu, Yuan Qi and Peng Yu<\/p>\n\n\n\n

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2014<\/h3>\n\n\n\n

AAAI-14 Outstanding Paper Awards<\/h4>\n\n\n\n

Recovering from Selection Bias in Causal and Statistical Inference<\/strong>
Elias Bareinboim, Jin Tian, Judea Pearl<\/p>\n\n\n\n

Honorable Mention:<\/em>
Placement of Loading Stations for Electric Vehicles: No Detours Necessary!<\/strong>
Stefan Funke, Andr\u00e9 Nusser, Sabine Storandt<\/p>\n\n\n\n

Honorable Mention:<\/em>
Manifold Learning for Jointly Modeling Topic and Visualization<\/strong>
Tuan M. V. Le, Hady W. Lauw<\/p>\n\n\n\n

Honorable Mention:<\/em>
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference<\/strong>
Mathias Niepert, Guy Van den Broeck<\/p>\n\n\n\n

Honorable Mention:<\/em>
Generalized Label Reduction for Merge-and-Shrink Heuristics<\/strong>
Silvan Sievers, Martin Wehrle, Malte Helmert<\/p>\n\n\n\n

\n\n\n\n

2013<\/h3>\n\n\n\n

AAAI-13 Outstanding Paper Awards<\/h4>\n\n\n\n

SMILe: Shuffled Multiple-Instance Learning<\/strong>
Gary Doran and Soumya Ray<\/p>\n\n\n\n

HC-Search: Learning Heuristics and Cost Functions for Structured Prediction<\/strong>
Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli<\/p>\n\n\n\n

Honorable Mention:<\/em>
On the Value of Using Group Discounts under Price Competition<\/strong>
Reshef Meir, Tyler Lu, Moshe Tennenholtz, and Craig Boutilier
For Outstanding Technical Quality and Clarity of Presentation<\/p>\n\n\n\n

Honorable Mention:<\/em>
PAC Optimal Exploration in Continuous Space Markov Decision Processes<\/strong>
Jason Pazis and Ronald Parr
For Outstanding Formal Analysis<\/p>\n\n\n\n

Honorable Mention:<\/em>
Sensitivity of Diffusion Dynamics to Network Uncertainty<\/strong>
Abhijin Adiga, Chris Kuhlman, Henning S. Mortveit, and Anil Kumar S. Vullikanti
For Outstanding Novelty of Research Question<\/p>\n\n\n\n

Honorable Mention:<\/em>
Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers<\/strong>
Mengqiu Wang, Wanxiang Che, and Christopher D. Manning
For Outstanding Engineering Design<\/p>\n\n\n\n

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2012<\/h3>\n\n\n\n

AAAI-12 Outstanding Paper Awards<\/h4>\n\n\n\n

Learning SVM Classifiers with Indefinite Kernels<\/strong>
Suicheng Gu, Yuhong Guo<\/p>\n\n\n\n

Document Summarization Based on Data Reconstruction<\/strong>
Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He<\/p>\n\n\n\n

Honorable Mention:<\/em>
Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits<\/strong>
Long Tran-Thanh, Archie Chapman, Alex Rogers, Nicholas R. Jennings<\/p>\n\n\n\n

Honorable Mention:<\/em>
Predicting Disease Transmission from Geo-Tagged Micro-Blog Data<\/strong>
Adam Sadilek, Henry Kautz, Vincent Silenzio<\/p>\n\n\n\n

\n\n\n\n

2011<\/h3>\n\n\n\n

AAAI-11 Outstanding Paper Awards<\/h4>\n\n\n\n

Complexity of and Algorithms for Borda Manipulation<\/strong>
Jessica Davies, George Katsirelos, Nina Narodytska, Toby Walsh<\/p>\n\n\n\n

Computational Sustainability and Artificial Intelligence Track: Dynamic Resource Allocation in Conservation Planning<\/strong>
Daniel Golovin, Andreas Krause, Beth Gardner, Sarah J. Converse, Steve Morey<\/p>\n\n\n\n

\n\n\n\n

2010<\/h3>\n\n\n\n

AAAI-10 Outstanding Paper Awards<\/h4>\n\n\n\n

A Novel Transition Based Encoding Scheme for Planning as Satisfiability<\/strong>
Ruoyun Huang, Yixin Chen, Weixiong Zhang (Washington University in St. Louis)<\/p>\n\n\n\n

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

\n\n\n\n

2008<\/h3>\n\n\n\n

AAAI-08 Outstanding Paper Awards<\/h4>\n\n\n\n

Optimal False-Name-Proof Voting Rules with Costly Voting<\/strong>
Liad Wagman and Vincent Conitzer (Duke University)<\/p>\n\n\n\n

How Good is Almost Perfect?<\/strong>
Malte Helmert and Gabriele R\u00f6ger (Albert-Ludwigs-Universit\u00e4t Freiburg)<\/p>\n\n\n\n

Honorable Mention:<\/em>
On the Progression of Situation Calculus Basic Action Theories: Resolving a 10-year-old Conjecture<\/strong>
Stavros Vassos and Hector J. Levesque (University of Toronto)<\/p>\n\n\n\n

\n\n\n\n

2007<\/h3>\n\n\n\n

AAAI-07 Outstanding Paper Awards<\/h4>\n\n\n\n

PLOW: A Collaborative Task Learning Agent<\/strong>
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)<\/p>\n\n\n\n

Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games<\/strong>
Colin McMillen and Manuela Veloso (Carnegie Mellon University)<\/p>\n\n\n\n

\n\n\n\n

2006<\/h3>\n\n\n\n

AAAI-06 Outstanding Paper Awards<\/h4>\n\n\n\n

Model Counting: A New Strategy for Obtaining Good Bounds<\/strong>
Carla P. Gomes, Ashish Sabharwal, and Bart Selman (Cornell University)<\/p>\n\n\n\n

Towards an Axiom System for Default Logic<\/strong>
Gerhard Lakemeyer (Aachen University of Technology), and Hector J. Levesque (University of Toronto)<\/p>\n\n\n\n

\n\n\n\n

2005<\/h3>\n\n\n\n

AAAI-05 Outstanding Paper Award<\/h4>\n\n\n\n

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

\n\n\n\n

2004<\/h3>\n\n\n\n

AAAI-04 Outstanding Paper Awards<\/h4>\n\n\n\n

Learning and Inferring Transportation Routines<\/strong>
Lin Liao, Dieter Fox, and Henry Kautz, University of Washington<\/p>\n\n\n\n

Honorable Mention:<\/em>
Interactive Information Extraction with Constrained Conditional Random Fields<\/strong>
Trausti Krisjansson, Microsoft Research; Aron Culotta, University of Massachusetts Amherst; Paul Viola, Microsoft Research; and Andrew McCallum, University of Massachusetts Amherst<\/p>\n\n\n\n

Honorable Mention:<\/em>
Loop Formulas for Circumscription<\/strong>
Joohyung Lee, University of Texas Austin and Fangzhen Lin, Hong Kong University of Science and Technology<\/p>\n\n\n\n

\n\n\n\n

2002<\/h3>\n\n\n\n

AAAI-02 Outstanding Paper Awards<\/h4>\n\n\n\n

On Computing All Abductive Explanations<\/strong>
Thomas Eiter, Technische Universit\u00e4t Wien; and Kazuhisa Makino, Osaka University<\/p>\n\n\n\n

\n\n\n\n

2000<\/h3>\n\n\n\n

AAAI-2000 Outstanding Paper Awards<\/h4>\n\n\n\n

The Game of Hex: An Automatic Theorem-Proving Approach to Game Programming<\/strong>
Vadim V. Anshelevich, Vanshel Consulting<\/p>\n\n\n\n

Automatic Invention of Integer Sequences<\/strong>
Simon Colton and Alan Bundy, University of Edinburgh; Toby Walsh, University of York<\/p>\n\n\n\n

Statistics-Based Summarization — Step One: Sentence Compression<\/strong>
Kevin Knight and Daniel Marcu, University of Southern California<\/p>\n\n\n\n

Local Search Characteristics of Incomplete SAT Procedures<\/strong>
Dale Schuurmans and Finnegan Southey, University of Waterloo<\/p>\n\n\n\n

\n\n\n\n

1999<\/h3>\n\n\n\n

AAAI-99 Outstanding Paper Award<\/h4>\n\n\n\n

PROVERB: The Probabilistic Cruciverbalist<\/strong>
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<\/p>\n\n\n\n

\n\n\n\n

1998<\/h3>\n\n\n\n

AAAI-98 Outstanding Paper Awards<\/h4>\n\n\n\n

Learning Evaluation Functions for Global Optimization and Boolean Satisfiability<\/strong>
Justin A. Boyan and Andrew W. Moore, Carnegie Mellon University<\/p>\n\n\n\n

The Interactive Museum Tour-Guide Robot<\/strong>
Wolfram Burgard, Armin B. Cremers, Dieter Fox and Dirk H\u00e4hnel, University of Bonn; Gerhard Lakemeyer, Aachen University of Technology; Dirk Schulz and Walter Steiner, University of Bonn; Sebastian Thrun, Carnegie Mellon University<\/p>\n\n\n\n

Acceleration Methods for Numeric CSPs<\/strong>
Yahia Lebbah and Olivier Lhomme, Ecole des Mines de Nantes – La Chantrerie<\/p>\n\n\n\n

\n\n\n\n

1997<\/h3>\n\n\n\n

AAAI-97 Best Paper Awards<\/h4>\n\n\n\n

Statistical Parsing with a Context-Free Grammar and Word Statistics<\/strong>
Eugene Charniak, Brown University<\/p>\n\n\n\n

Building Concept Representations from Reusable Components<\/strong>
Peter Clark, The Boeing Company and Bruce Porter, University of Texas at Austin<\/p>\n\n\n\n

Fast Context Switching in Real-Time Propositional Reasoning<\/strong>
P. Pandurang Nayak and Brian C. Williams, NASA Ames Research Center<\/p>\n\n\n\n

A Practical Algorithm for Finding Optimal Triangulations<\/strong>
Kirill Shoikhet and Dan Geiger, Technion, Israel<\/p>\n\n\n\n

\n\n\n\n

1996<\/h3>\n\n\n\n

AAAI-96 Best Paper Awards<\/h4>\n\n\n\n

A Novel Application of Theory Refinement to Student Modeling<\/strong>
Paul T. Baffes, SciComp, Inc. and Raymond J. Mooney, University of Texas at Austin<\/p>\n\n\n\n

Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search<\/strong>
Henry Kautz and Bart Selman, AT&T Laboratories<\/p>\n\n\n\n

Verification of Knowledge Bases Based on Containment Checking<\/strong>
Alon Y. Levy, AT&T Research and Marie-Christine Rousset, University of Paris-Sud<\/p>\n\n\n\n

\n\n\n\n

1994<\/h3>\n\n\n\n

AAAI-94 Outstanding Paper Award<\/h4>\n\n\n\n

A Prototype Reading Coach that Listens<\/strong>
Jack Mostow, Steven F. Roth, Alexander G. Hauptmann and Matthew Kane, Carnegie Mellon University<\/p>\n\n\n\n

\n\n\n\n

1993<\/h3>\n\n\n\n

AAAI-93 Best Written Paper Award<\/h4>\n\n\n\n

Equations for Part-of-Speech Tagging<\/strong>
Eugene Charniak, Curtis Hendrickson, Neil Jacobson and Mike Perkowitz, Brown University<\/p>\n\n\n\n

Honorable Mentions<\/h4>\n\n\n\n

Planning With Deadlines in Stochastic Domains<\/strong>
Thomas Dean, Leslie Pack Kaelbling, Jak Kirman and Ann Nicholson, Brown University<\/p>\n\n\n\n

Reasoning With Characteristic Models<\/strong>
Henry A. Kautz, Michael J. Kearns and Bart Selman, AT&T Bell Laboratories<\/p>\n\n\n\n

The Paradoxical Success of Fuzzy Logic<\/strong>
Charles Elkan, UC San Diego<\/p>\n\n\n\n

\n\n\n\n

1992<\/h3>\n\n\n\n

AAAI-92 Best Written Paper Award<\/h4>\n\n\n\n

Hard and Easy Distribution of SAT Problems<\/strong>
David Mitchell, Bart Selman, and Hector Levesque<\/p>\n\n\n\n

Honorable Mention<\/h4>\n\n\n\n

On the Minimality and Decomposability of Constraint Networks<\/strong>
Peter van Beek<\/p>\n\n\n\n

\n\n\n\n

1991<\/h3>\n\n\n\n

AAAI-91 Best Written Paper Award<\/h4>\n\n\n\n

Improving Rule-Based Systems through Case-Based Reasoning<\/strong>
Andrew R. Golding and Paul S. Rosenbloom<\/p>\n\n\n\n

Honorable Mentions<\/h4>\n\n\n\n

Learning with Many Irrelevant Features<\/strong>
Hussein Almuallim and Thomas Dietterich<\/p>\n\n\n\n

A Cognitively Plausible Approach to Understanding Complex Syntax<\/strong>
Claire Cardie and Wendy Lehnert<\/p>\n\n\n\n

Complexity Results for Blocks-World Planning<\/strong>
Naresh Gupta and Dana S. Nau<\/p>\n\n\n\n

\n\n\n\n

1988<\/h3>\n\n\n\n

1988 Best Paper Awards<\/h4>\n\n\n\n

Qualitative Results Concerning the Utility of Explanation-Based Learning<\/strong>
Steven Minton, Carnegie Mellon University<\/p>\n\n\n\n

Approach to Qualitative Algebraic Reasoning<\/strong>
Brian C. Williams, Massachusetts Institute of Technology<\/p>\n\n\n\n

\n\n\n\n

1987<\/h3>\n\n\n\n

1987 Best Paper Awards<\/h4>\n\n\n\n

Incremental Causal Reasoning<\/strong>
Thomas Dean and Mark Boddy, Brown University<\/p>\n\n\n\n

An Approach to Default Reasoning Based on a First-Order Conditional Logic<\/strong>
James P. Delgrande, Simon Fraser University<\/p>\n\n\n\n

PROMPT: An Innovative Design Tool<\/strong>
Seshashayee S. Murthy and Sanjaya Addanki, IBM T. J . Watson Research Center<\/p>\n\n\n\n

Curing Anomalous Extensions<\/strong>
Paul Morris, IntelliCorp<\/p>\n\n\n\n

Non-Deterministic Lisp with Dependency-directed Backtracking<\/strong>
Ramin Zabih, David McAllester, and David Chapman, MIT Artificial Intelligence Laboratory<\/p>\n\n\n\n

Defining Operationality for Explanation-based Learning<\/strong>
Richard M. Keller, Rutgers University<\/p>\n\n\n\n

Word-Order Variation in Natural Language Generation<\/strong>
Aravind K. Joshi, University of Pennsylvania<\/p>\n\n\n\n

Energy Constraints on Deformable Models: Recovering Shape and Non-Rigid Motion<\/strong>
Demetri Terzopoulos, Andrew Witkin, and Michael Kass, Schlumberger Palo Alto Research<\/p>\n\n\n\n

\n\n\n\n

1986<\/h3>\n\n\n\n

1986 Publisher’s Prize<\/h4>\n\n\n\n

Default Reasoning, Nonmonotonic Logics, and the Frame Problem<\/strong>
Steve Hanks and Drew McDermott, Yale University<\/p>\n\n\n\n

Generating Tests by Exploiting Designed Behavior<\/strong>
Mark Harper Shirley, MIT AI Laboratory<\/p>\n\n\n\n

\n\n\n\n

1984<\/h3>\n\n\n\n

1984 Publisher’s Prize<\/h4>\n\n\n\n

The Tractability of Subsumption in Frame-Based Description Languages<\/strong>
Ronald J. Brachman and Hector J. Levesque, Fairchild Laboratory for Artificial Intelligence Research<\/p>\n\n\n\n

Choices without Backtracking<\/strong>
Johan de Kleer, Xerox Palo Alto Research Center<\/p>\n\n\n\n

A Logic of Implicit and Explicit Belief<\/strong>
Hector J. Levesque, Fairchild Laboratory for Artificial Intelligence Research<\/p>\n\n\n\n

Shading into Texture<\/strong>
Alex P. Pentland, SRI International<\/p>\n<\/div><\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":3,"featured_media":0,"parent":647,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_eb_attr":"","ub_ctt_via":"","_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"full-width-content","footnotes":""},"class_list":{"0":"post-19858","1":"page","2":"type-page","3":"status-publish","5":"entry"},"acf":[],"featured_image_src":null,"yoast_head":"\nAAAI Conference Paper Awards and Recognition - AAAI<\/title>\n<meta name=\"description\" content=\"The AAAI Conference on Artificial Intelligence presents awards to papers that exemplify the highest standards in technical contribution and exposition.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aaai.org\/about-aaai\/aaai-awards\/aaai-conference-paper-awards-and-recognition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AAAI Conference Paper Awards and Recognition - 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