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Home / About AAAI / AAAI Awards and Recognitions / AAAI-24 Paper Awards

AAAI-24 Paper Awards

AAAI-24 is pleased to announce the winners of the following awards:

AAAI-24 Outstanding Paper Award

These papers exemplify the highest standards in technical contribution and exposition.

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles
Chen Li; Yoshihiro Yamanishi            

Reliable Conflictive Multi-view Learning
Cai Xu; Jiajun Si; Ziyu Guan; Wei Zhao; Yue Wu; Xiyue Gao

Proportional Aggregation of Preferences for Sequential Decision Making
Nikhil Chandak; Shashwat Goel; Dominik Peters    

Best Paper for the AI for Social Impact track at AAAI-2024

DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling

Gustavo Perez; Subhransu Maji; Daniel Sheldon

Honorable Mention:

Nowcasting Temporal Trends Using Indirect Surveys

Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz, Jose Aguilar, Antonio Fernández Anta, Antonio Ortega, Rosa Lillo

Best Student Paper for the AI for Social Impact track at AAAI-2024

Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon

Marc Grimson; Rafael Almeida; Qinru Shi; Yiwei Bai; Hector Angarita; Felipe Siqueira Pacheco; Rafael Schmitt; Alexander Flecker; Carla Gomes

Honorable Mention:

Is My Prediction Arbitrary? The Confounding Effects of Variance in Fair Classification Benchmarks

A. Feder Cooper; Katherine Lee; Madiha Choksi; Solon Barocas; Christopher De Sa; James Grimmelmann; Jon Kleinberg; Siddhartha Sen; Baobao Zhang

Student Abstract Program Awards

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-series Interpretation
Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry and Artur Dubrawski

Strategic Recommendation: Revenue Optimal Matching for Online Platforms
Luca D’Amico-Wong, Gary Qiurui Ma and David Parkes

Best Demonstration Award

Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning
Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns



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