AAAI

GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks

Akshat Gupta, Laxman Singh Tomar, Ridhima Garg

Journal ref AAAI AICS Conference 2023

A Practical Entity Linking System for Tables in Scientific Literature

Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi

Journal ref 3rd Workshop on Scientific Document Understanding at AAAI-2023

Persistence-Based Discretization for Learning Discrete Event Systems from Time Series

Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier

Journal ref MLmDS 2023 - AAAI Workshop When Machine Learning meets Dynamical Systems: Theory and Applications, Feb 2023, Washington (DC), United States. pp.1-6

DiPPS: Differentially Private Propensity Scores for Bias Correction

Liangwei Chen, Valentin Hartmann, Robert West

Comments 11 pages, 2 figures. Current version: conference version

Journal ref Proceedings of the Seventeenth International AAAI Conference on Web and Social Media (2023) 114-125

Process Knowledge-infused Learning for Clinician-friendly Explanations

Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit Sheth

Comments Accepted for Publication at AAAI Second Symposium on Human Partnership with Medical Artificial Intelligence (HUMAN.AI Summer 2023): Design, Operationalization, and Ethics. July 17-19, 2023

Cybersecurity Misinformation Detection on Social Media: Case Studies on Phishing Reports and Zoom's Threats

Mohit Singhal, Nihal Kumarswamy, Shreyasi Kinhekar, Shirin Nilizadeh

Comments To appear in the 17th International AAAI Conference on Web and Social Media (ICWSM 2023)

Partial-Label Regression

Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An

Comments Accepted by AAAI 2023

Continuous Learning Based Novelty Aware Emotion Recognition System

Mijanur Palash, Bharat Bhargava

Comments Automatic Emotion Detection, Novelty, Deep Learning

Journal ref AAAI Spring Symposium 2022

Maestro: A Gamified Platform for Teaching AI Robustness

Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago-Masague

Comments 9 pages, 6 figures, published at the Thirteenth Symposium on Educational Advances in Artificial Intelligence (EAAI-23) in the Association for the Advancement of Artificial Intelligence Conference (AAAI), 2023

Contrastive Attention Networks for Attribution of Early Modern Print

Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick

Comments Proceedings of AAAI 2023

Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-shot In-Context Learners

Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim

Comments AAAI 2023

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng

Comments AAAI 2023, code is available at https://github.com/wywyWang/CoachAI-Projects/tree/main/Movement\%20Forecasting

Volterra Neural Networks (VNNs)

Siddharth Roheda, Hamid Krim

Comments Conference Version published in AAAI 2020. Journal version under review at JMLR

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes

Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng

Comments Accepted by AAAI 2023, 17 pages, 4 tables, 4 figures

Compositional Prototypical Networks for Few-Shot Classification

Qiang Lyu, Weiqiang Wang

Comments Accepted by AAAI 2023

FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

Shibo Jie, Zhi-Hong Deng

Comments AAAI 2023 Oral. Code: https://github.com/JieShibo/PETL-ViT

Deploying clinical machine learning? Consider the following...

Charles Lu, Ken Chang, Praveer Singh, Stuart Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher Bridge, Jayashree Kalpathy-Cramer

Comments Trustworthy AI for Healthcare workshop at AAAI 2022

Retrosynthesis Prediction with Local Template Retrieval

Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin

Comments AAAI-2023 camera ready

What We Know So Far: Artificial Intelligence in African Healthcare

Naome Etori, Ebasa Temesgen, Maria Gini

Comments 8 pages, 1 figure, AAAI-23 conference in Washington, DC, International Workshop on the Social Impact of AI for Africa(SIAIA)

Block-wise Training of Residual Networks via the Minimizing Movement Scheme

Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari

Comments 1st International Workshop on Practical Deep Learning in the Wild at AAAI 2022

Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual

Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

Comments Accepted to AAAI 2023

Does it pay to optimize AUC?

Baojian Zhou, Steven Skiena

Comments 16 pages, AAAI

SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition

Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang

Comments Accepted by AAAI 2023. 9 pages and 4 figures in main text. 3 pages and 5 figures in appendix

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces

Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu

Comments Accepted by AAAI 2023 (Main Track), 9 pages, 4 figures

Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion

Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

Comments 12 pages. Accepted to AAAI 2023

Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher

Vikram S Chundawat, Ayush K Tarun, Murari Mandal, Mohan Kankanhalli

Comments Accepted in AAAI 2023

MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction

Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui

Journal ref AAAI 2023

FairCanary: Rapid Continuous Explainable Fairness

Avijit Ghosh, Aalok Shanbhag, Christo Wilson

Comments Accepted as a full paper at the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Fooling thermal infrared pedestrian detectors in real world using small bulbs

Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu

Comments Documents officially published by AAAI 2021, including the main text and supplementary material

Moral Machine or Tyranny of the Majority?

Michael Feffer, Hoda Heidari, Zachary C. Lipton

Comments To appear in the proceedings of AAAI 2023