AAAI

Fair Conformal Predictors for Applications in Medical Imaging

Charles Lu, Andreanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer

Comments 7 pages, 6 figures, AAAI-22 conference

Software Testing for Machine Learning

Dusica Marijan, Arnaud Gotlieb

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13576-13582 (2020)

Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows

Sourabh Balgi, Jose M. Pena, Adel Daoud

Comments 7(+2) pages, 3 figures, Published at AAAI-2022

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration

Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu

Comments Accepted by AAAI 2022

Supervising Model Attention with Human Explanations for Robust Natural Language Inference

Joe Stacey, Yonatan Belinkov, Marek Rei

Comments Accepted at AAAI 2022

Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis

Negin Karisani, Daniel E. Platt, Saugata Basu, Laxmi Parida

Comments Proceedings of the AAAI Workshop on Health Intelligence 2021

No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment

Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park

Comments 8 pages, 6 figures, to appear at the 36th AAAI Conference on Artificial Intelligence (AAAI-22)

Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy

Sherin Mary Mathews, Samuel A. Assefa

Comments 36th AAAI Conference on Artificial Intelligence (AAAI-2022)--Workshop on AI in Financial Services: Adaptiveness, Resilience & Governance

Subspace Differential Privacy

Jie Gao, Ruobin Gong, Fang-Yi Yu

Comments 25 pages, 3 figures; Published in AAAI'22

The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information

Antonis Papasavva, Max Aliapoulios, Cameron Ballard, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Jeremy Blackburn

Journal ref Published in the Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM 2022). Please cite accordingly

Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning

Wouter A. C. van Amsterdam, Marinus J. C. Eijkemans

Comments Initial version presented at AAAI-WHY spring symposium, 2019

Journal ref npj Digit. Med. 2, 122 (2019)

Echoes through Time: Evolution of the Italian COVID-19 Vaccination Debate

Giuseppe Crupi, Yelena Mejova, Michele Tizzani, Daniela Paolotti, Andre Panisson

Comments International AAAI Conference on Web and Social Media (ICWSM)

Obtaining Calibrated Probabilities with Personalized Ranking Models

Wonbin Kweon, SeongKu Kang, Hwanjo Yu

Comments AAAI 2022 Oral

VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization

Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao

Comments Accepted by AAAI 2022

Fixation Maximization in the Positional Moran Process

Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger Ullersted Rasmussen, Josef Tkadlec

Comments 11 pages, 6 figures, to appear at AAAI 2022

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

Meirui Jiang, Zirui Wang, Qi Dou

Comments Accepted at AAAI 2022

XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge

Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan

Comments AAAI-2022

LGD: Label-guided Self-distillation for Object Detection

Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun

Comments Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), February 2022

Context-Specific Representation Abstraction for Deep Option Learning

Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

Comments Accepted at AAAI 2022

Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation

Arkin Dharawat, Ismini Lourentzou, Alex Morales, ChengXiang Zhai

Comments Accepted to AAAI ICWSM'22 Datasets Track

On Fair Division under Heterogeneous Matroid Constraints

Amitay Dror, Michal Feldman, Erel Segal-Halevi

Comments Contains all proofs omitted from the AAAI'21 paper, an uptodate literature survey, a more general non-existence result in Subsection 3.3, a simpler proof of Theorem 5, and simpler algorithms and proofs in Section 8

Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussions

Shruti Phadke, Mattia Samory, Tanushree Mitra

Journal ref Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) 2022

Path-Specific Objectives for Safer Agent Incentives

Sebastian Farquhar, Ryan Carey, Tom Everitt

Comments Presented at AAAI 2022

Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation

Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

Comments Accepted by AAAI 2022

Hybrid Curriculum Learning for Emotion Recognition in Conversation

Lin Yang, Yi Shen, Yue Mao, Longjun Cai

Comments Accepted by AAAI-2022

Backplay: "Man muss immer umkehren"

Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alexander Peysakhovich, Kyunghyun Cho, Joan Bruna

Comments AAAI-19 Workshop on Reinforcement Learning in Games; 0xd1a80a702b8170f6abeaabcf32a0c4c4401e9177

Who Is Missing? Characterizing the Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus

Haewoon Kwak, Jisun An, Kunwoo Park

Comments Accepted in AAAI ICWSM'22

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Zhou Qichao

Comments Accepted in AAAI-22 (Oral)

3D-OOCS: Learning Prostate Segmentation with Inductive Bias

Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

Comments 6 pages, 1 figure. Accepted in the proceedings of the AAAI 2022 Workshop: Trustworthy AI for Healthcare

Understanding Toxicity Triggers on Reddit in the Context of Singapore

Yun Yu Chong, Haewoon Kwak

Comments Accepted in AAAI ICWSM'22