AAAI

Topic Shifts as a Proxy for Assessing Politicization in Social Media

Marcelo Sartori Locatelli, Pedro Calais, Matheus Prado Miranda, João Pedro Junho, Tomas Lacerda Muniz, Wagner Meira, Virgilio Almeida

Comments 12 pages, 6 figures, accepted for the 18th AAAI International Conference on Web and Social Media (ICWSM-2024)

Journal ref Topic Shifts as a Proxy for Assessing Politicization in Social Media. In: Proceedings of the International AAAI Conference on Web and Social Media. 2024. p. 972-984

Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction

Raja Farrukh Ali, Stephanie Milani, John Woods, Emmanuel Adenij, Ayesha Farooq, Clayton Mansel, Jeffrey Burns, William Hsu

Comments Previous versions accepted to NeurIPS 2023's XAIA and AAAI 2024's XAI4DRL workshops

Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model

Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue

Comments Accepted by AAAI-24

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, Yujie Chen, Jun Xue, Yonghui Kong, Jianhua Tao, Zhao Lv

Comments Accepted by AAAI2024

Journal ref (2024) Vol. 38 No. 8: AAAI-24 Technical Tracks 8 Vol. 38 No. 8: AAAI-24 Technical Tracks 8 Vol. 38 No. 8: AAAI-24 Technical Tracks 8 Proceedings of the AAAI Conference on Artificial Intelligence, 38(8), 8380-8388

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi

Comments 16 pages, 5 figures, and 9 tables. To appear at AAAI 2024

Journal ref AAAI 2024

LDMVFI: Video Frame Interpolation with Latent Diffusion Models

Duolikun Danier, Fan Zhang, David Bull

Comments Accepted by AAAI 2024

Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics

Manuel Brenner, Florian Hess, Georgia Koppe, Daniel Durstewitz

Comments ICML 2024. Previously published as a workshop paper for the AAAI 2023 Workshop MLmDS as "Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems"

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition

Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao

Comments Accepted by AAAI 2024 (Main Track, Long Paper)

LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation

Yi-Pei Chen, KuanChao Chu, Hideki Nakayama

Comments Presented in AAAI 2024 Spring Symposium. The first two authors contributed equally

Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous Driving

Atrisha Sarkar, Krzysztof Czarnecki

Comments Behavioral Game Theory, Motion and Path Planning, Simulating Humans

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 35(6), 5698-5708 (2021)

Data-Driven Approaches for Thrust Prediction in Underwater Flapping Fin Propulsion Systems

Julian Lee, Kamal Viswanath, Alisha Sharma, Jason Geder, Ravi Ramamurti, Marius D. Pruessner

Comments 9 pages, 11 figures, AAAI 2021 Fall Series Symposium on Science-Guided AI

Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks

Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-jian Deng, Guoqi Li

Comments Accepted by Proceedings of the AAAI Conference on Artificial Intelligence 38 (AAAI 24)

Correlation Matching Transformation Transformers for UHD Image Restoration

Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu

Comments AAAI-24; Source codes, datasets, visual results, and pre-trained models are: https://github.com/supersupercong/UHDformer

Embedding Privacy in Computational Social Science and Artificial Intelligence Research

Keenan Jones, Fatima Zahrah, Jason R. C. Nurse

Comments International Association for the Advancement of Artificial Intelligence (AAAI) Conference on Web and Social Media (ICWSM) Workshops (Disrupt, Ally, Resist, Embrace (DARE) Workshop), 2024

Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge

Meshal Alharbi, Mardavij Roozbehani, Munther Dahleh

Comments Published in the 38th Annual AAAI Conference on Artificial Intelligence

Quantile-based Maximum Likelihood Training for Outlier Detection

Masoud Taghikhah, Nishant Kumar, Siniša Šegvić, Abouzar Eslami, Stefan Gumhold

Comments Camera Ready Version. Accepted at AAAI 2024. Code available at https://github.com/taghikhah/QuantOD

Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes

Guillermo Infante, Anders Jonsson, Vicenç Gómez

Journal ref The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022

Task Planning for Object Rearrangement in Multi-room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick

Comments Accepted in AAAI 2024 as oral paper

Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility

Fang Kong, Shuai Li

Comments AAAI 2024

Exploratory Machine Learning with Unknown Unknowns

Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou

Comments published at Artificial Intelligence, preliminary conference version published at AAAI'21

Journal ref Artificial Intelligence,Volume 327, 2024

Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting

Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang

Comments AAAI 2024

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion

Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang

Comments The paper is accepted by AAAI24

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2024

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

Yi Rong, Haoran Zhou, Lixin Yuan, Cheng Mei, Jiahao Wang, Tong Lu

Comments Accepted to AAAI 2024

Enhancing Low-Resource Relation Representations through Multi-View Decoupling

Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen

Comments Accepted to AAAI 2024

Retrieval Augmented Generation for Domain-specific Question Answering

Sanat Sharma, David Seunghyun Yoon, Franck Dernoncourt, Dewang Sultania, Karishma Bagga, Mengjiao Zhang, Trung Bui, Varun Kotte

Comments AAAI 2024 (Association for the Advancement of Artificial Intelligence) Scientific Document Understanding Workshop

ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation

Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao

Comments AAAI 2024

Robust portfolio optimization model for electronic coupon allocation

Yuki Uehara, Naoki Nishimura, Yilin Li, Jie Yang, Deddy Jobson, Koya Ohashi, Takeshi Matsumoto, Noriyoshi Sukegawa, Yuichi Takano

Comments 9 pages, 17 figures, AAAI-2024 Workshop on Artificial Intelligence for Operations Research

TinyM$^2$Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment

Hasib-Al Rashid, Tinoosh Mohsenin

Comments Accepted at AAAI 2024 Workshop SAI

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

Changsong Pang, Xieyuanli Chen, Yimin Liu, Huimin Lu, Yuwei Cheng

Comments Accepted at AAAI-24

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence.38(2024)4424-4432

Zero-Shot Stance Detection using Contextual Data Generation with LLMs

Ghazaleh Mahmoudi, Babak Behkamkia, Sauleh Eetemadi

Comments 5 pages, AAAI-2024 Workshop on Public Sector LLMs

Journal ref AAAI-2024 Workshop on Public Sector LLMs: Algorithmic and Sociotechnical Design