AAAI

Tree-Based Reconstructive Partitioning: A Novel Low-Data Level Generation Approach

Emily Halina, Matthew Guzdial

Comments 9 pages, 3 figures, The 19th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2023)

Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community

Salvatore Giorgi, Ke Zhao, Alexander H. Feng, Lara J. Martin

Comments Accepted to the 17th International AAAI Conference on Web and Social Media (ICWSM), 2023

Journal ref Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) 2023, 17(1), 233-244

Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AI

Yuqian Sun, Zhouyi Li, Ke Fang, Chang Hee Lee, Ali Asadipour

Comments The paper was accepted by The 19th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 23)

FedALA: Adaptive Local Aggregation for Personalized Federated Learning

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Comments Accepted by AAAI 2023

Shape-based Feature Engineering for Solar Flare Prediction

Varad Deshmukh, Thomas Berger, James Meiss, Elizabeth Bradley

Comments To be published in Proceedings for Innovative Applications of Artificial Intelligence Conference 2021

Journal ref AAAI Conference on Artificial Intelligence, 35(17), 2021, 15293-15300

Predicting Survival Time of Ball Bearings in the Presence of Censoring

Christian Marius Lillelund, Fernando Pannullo, Morten Opprud Jakobsen, Christian Fischer Pedersen

Comments Accepted at AAAI Fall Symposium 2023 on Survival Prediction

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes

Shreyash Mishra, S Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Reganti, Amitava Das, Amit Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

Comments Defactify2 @AAAI 2023

Findings of Factify 2: Multimodal Fake News Detection

S Suryavardan, Shreyash Mishra, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Reganti, Amitava Das, Amit Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

Comments Defactify2 @AAAI 2023

Finite Based Contraction and Expansion via Models

Ricardo Guimarães, Ana Ozaki, Jandson S. Ribeiro

Comments 21 pages, 1 figure, accepted at the 37th AAAI Conference on Artificial Intelligence (AAAI 23); typos corrected, minor textual changes

Learning to Select from Multiple Options

Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu

Comments Accepted by AAAI 2023

Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming

Shreyas Bhat, Joseph B. Lyons, Cong Shi, X. Jessie Yang

Comments 6 pages, 6 figures, AAAI Fall Symposium on Agent Teaming in Mixed-Motive Situations

Distributional Data Augmentation Methods for Low Resource Language

Mosleh Mahamud, Zed Lee, Isak Samsten

Comments AAAI 2023 Workshop on Knowledge Augmented Methods for NLP

LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification

Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin

Comments Accpeted by DLG-AAAI'23

Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds

Frederic Abraham, Matthew Stephenson

Comments 11 pages, 10 figures, 2 tables, Accepted at the 19th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 23)

Adaptive Adversarial Training Does Not Increase Recourse Costs

Ian Hardy, Jayanth Yetukuri, Yang Liu

Journal ref In Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES '23). Association for Computing Machinery, New York, NY, USA, 432 442

Towards User Guided Actionable Recourse

Jayanth Yetukuri, Ian Hardy, Yang Liu

Journal ref In Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES '23). Association for Computing Machinery, New York, NY, USA, 742 751

CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification

Zilong Zhang, Zhibin Zhao, Deyu Meng, Xingwu Zhang, Xuefeng Chen

Comments Submit to AAAI 2024

How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets

Danula Hettiachchi, Indigo Holcombe-James, Stephanie Livingstone, Anjalee de Silva, Matthew Lease, Flora D. Salim, Mark Sanderson

Comments Accepted to the 11th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023)

Multi-agent Collective Construction using 3D Decomposition

Akshaya Kesarimangalam Srinivasan, Shambhavi Singh, Geordan Gutow, Howie Choset, Bhaskar Vundurthy

Comments Presented at the Multi-agent Path Finding Workshop at AAAI 2023

Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma

Nan Jiang, Yi Gu, Yexiang Xue

Comments accepted by AAAI 2023. The first two authors contribute equally

Human Comprehensible Active Learning of Genome-Scale Metabolic Networks

Lun Ai, Shi-Shun Liang, Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin

Comments Invited presentation for AAAI Spring Symposium Series 2023 on Computational Scientific Discovery

Simple and Efficient Heterogeneous Graph Neural Network

Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan

Comments Accepted by AAAI 2023

Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning

Ugur Kursuncu, Manas Gaur, Amit Sheth

Journal ref AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice. 1 (2020)

Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation

Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu, Lei Zhou, Xinbing Wang, Chenghu Zhou

Comments Extended version of AAAI paper arXiv:2211.10904

Automated Spectral Kernel Learning

Jian Li, Yong Liu, Weiping Wang

Comments Publised in AAAI 2020

Journal ref Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI): volume 34. 2020: 4618-4625

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning

Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu

Comments Accepted by AAAI 2023

Gender Gaps in Online Social Connectivity, Promotion and Relocation Reports on LinkedIn

Ghazal Kalhor, Hannah Gardner, Ingmar Weber, Ridhi Kashyap

Comments Accepted and forthcoming at the International AAAI Conference on Web and Social Media (ICWSM) 2024

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective

Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang

Comments Submitted to AAAI 2024

ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents

Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin

Comments AAAI 2023 RL Ready for Production Workshop

Physics-Based Task Generation through Causal Sequence of Physical Interactions

Chathura Gamage, Vimukthini Pinto, Matthew Stephenson, Jochen Renz

Comments The 19th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-23)