AAAI

Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation

Xiaoyi Bao, Jie Qin, Siyang Sun, Yun Zheng, Xingang Wang

Comments Accepted in AAAI 2024

Compound Text-Guided Prompt Tuning via Image-Adaptive Cues

Hao Tan, Jun Li, Yizhuang Zhou, Jun Wan, Zhen Lei, Xiangyu Zhang

Comments 13 pages, 7 figures, accepted to AAAI 2024

Navigating Open Set Scenarios for Skeleton-based Action Recognition

Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg

Comments Accepted to AAAI 2024. The benchmark, code, and models will be released at https://github.com/KPeng9510/OS-SAR

Dynamic Weighted Combiner for Mixed-Modal Image Retrieval

Fuxiang Huang, Lei Zhang, Xiaowei Fu, Suqi Song

Comments 11 pages, 12 figures and 12 tables. To appear in AAAI 2024

M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking

Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Can Qin

Comments 12 pages, 10 figures, 10 tables, AAAI 2024

Journal ref AAAI 2024

Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks

Isaac Sheidlower, Reuben Aronson, Elaine Short

Comments Pre-print to be published in the AAAI Fall Symposium 2023 Proceedings (part of the AI-HRI Symposium)

Statistical Spatially Inhomogeneous Diffusion Inference

Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff

Comments Accepted by AAAI 2024

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou

Comments 18 pages, to appear in AAAI 2024

GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking

Shu Yin, Chao Gao, Zhen Wang

Journal ref the Thirty-Eighth AAAI Conference on Artificial Intelligence,2024

Multi-dimensional Fair Federated Learning

Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu

Comments Accepted by the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI2024)

Federated Causality Learning with Explainable Adaptive Optimization

Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang

Comments Accepted by the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI2024)

Temporal Fairness in Multiwinner Voting

Edith Elkind, Svetlana Obraztsova, Nicholas Teh

Comments Appears in the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024

Temporal-Distributed Backdoor Attack Against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis

Comments accepted by AAAI 2024

MERGE: Fast Private Text Generation

Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Lifeng Xing, Shuo Zhang

Comments Accepted by AAAI 2024

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs

Shengrui Li, Xueting Han, Jing Bai

Comments Accepted at AAAI 2024

Bidirectional Contrastive Split Learning for Visual Question Answering

Yuwei Sun, Hideya Ochiai

Comments Accepted for AAAI 2024

Hate Cannot Drive out Hate: Forecasting Conversation Incivility following Replies to Hate Speech

Xinchen Yu, Eduardo Blanco, Lingzi Hong

Comments The 18th International AAAI Conference on Web and Social Media (ICWSM 2024) Accepted

Adventures of Trustworthy Vision-Language Models: A Survey

Mayank Vatsa, Anubhooti Jain, Richa Singh

Comments Accepted in AAAI 2024

Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs

Aldo Glielmo, Marco Favorito, Debmallya Chanda, Domenico Delli Gatti

Comments 9 pages and 5 figures, presented at the AAAI bridge program 'AI for Financial Institutions' (https://aaai23.bankit.art/), at the ICLR bridge program 'AI4ABM' (https://ai4abm.org/workshop_iclr2023/) and at ICAIF '23 (https://ai-finance.org/). Proceedings of the Fourth ACM International Conference on AI in Finance, (ICAIF 23), Association for Computing Machinery, New York, NY, USA

Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning

Pin-Yu Chen

Comments Published at AAAI 2024 (Senior Member Presentation Track); Survey paper on model reprogramming; Project repository: https://github.com/IBM/model-reprogramming

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian

Comments AAAI 2023 camera version

Parametric Surface Constrained Upsampler Network for Point Cloud

Pingping Cai, Zhenyao Wu, Xinyi Wu, Song Wang

Comments Update Supplementary Files

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 37, 1 (Jun. 2023), 250-258

Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation

Duc-Cuong Dang, Andre Opris, Dirk Sudholt

Comments This is a significant extension of the previous version. We extend the results to uniform crossover and also investigate effects of hypermutation. The previous version is available both on arXiv (arXiv:2301.13687v1) and in AAAI Publications (AAAI/article/view/26460" target="_blank" rel="noopener">https://ojs.aaai.org/index.php/AAAI/article/view/26460)

BIASeD: Bringing Irrationality into Automated System Design

Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver

Comments 14 pages, 1 figure; Accepted for presentation at the AAAI Fall Symposium 2022 on Thinking Fast and Slow and Other Cognitive Theories in AI. Corrected typos; v3: Updated figure 1, added table 4

DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract)

Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad

Comments AAAI Conference on Artificial Intelligence 2024

Supporting Human-AI Collaboration in Auditing LLMs with LLMs

Charvi Rastogi, Marco Tulio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi

Comments 21 pages, 3 figures

Journal ref In Proceedings of the 2023 AAAI and ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, New York, NY, USA, 913-926

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong

Comments Accepted by AAAI 2023. Code available at https://reczoo.github.io/FinalMLP

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network

Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue

Comments Accepted by AAAI-2023

Robust learning with anytime-guaranteed feedback

Matthew J. Holland

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 36(6):6918-6925, 2022

CarbNN: A Novel Active Transfer Learning Neural Network To Build De Novo Metal Organic Frameworks (MOFs) for Carbon Capture

Neel Redkar

Comments 13 pages, 12 figures, presented at AAAI-23 orally & as a poster