AAAI

"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples

Mattia Samory, Indira Sen, Julian Kohne, Fabian Floeck, Claudia Wagner

Comments Indira Sen and Julian Kohne contributed equally to this work

Journal ref Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM), 2021

Probabilistic Reasoning across the Causal Hierarchy

Duligur Ibeling, Thomas Icard

Comments AAAI-20

Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries

Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David T. Newman, Allison Woodruff

Comments 12 pages, 2 figures, 3 tables. AIES 2021: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Distribution Matching for Rationalization

Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang

Comments Accepted by AAAI2021

Journal ref AAAI 2021

A Coarse to Fine Question Answering System based on Reinforcement Learning

Yu Wang, Hongxia Jin

Comments 9 pages, original work published in AAAI 2019

Frivolous Units: Wider Networks Are Not Really That Wide

Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2021

Meta-Transfer Learning for Low-Resource Abstractive Summarization

Yi-Syuan Chen, Hong-Han Shuai

Comments Accepted by AAAI 2021; Camera Ready Version

Maximum Roaming Multi-Task Learning

Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga

Comments Accepted at the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence: 35(10), 9331-9341 (2021)

Thinking Fast and Slow in AI

Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2021, 35(17), 15042-15046

DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder

Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Viswanathan

Comments 17 pages, 15 figures, Accepted at AAAI 2021

A Unified Pre-training Framework for Conversational AI

Siqi Bao, Bingjin Chen, Huang He, Xin Tian, Han Zhou, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Yingzhan Lin

Comments Presented at AAAI-21 DSTC9 Workshop. First five authors contributed equally to this work

Computer Vision and Conflicting Values: Describing People with Automated Alt Text

Margot Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum

Journal ref Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES '21)

Fighting an Infodemic: COVID-19 Fake News Dataset

Parth Patwa, Shivam Sharma, Srinivas Pykl, Vineeth Guptha, Gitanjali Kumari, Md Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty

Comments Published at CONSTRAINT-2021, Collocated with AAAI-2021

HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference

Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl

Comments Published at AAAI 2021

Cost-Accuracy Aware Adaptive Labeling for Active Learning

Ruijiang Gao, Maytal Saar-tsechansky

Comments Accepted at AAAI 2020

Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention

Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage

Comments AAAI 2021 (AI for Social Impact track)

Modeling Collective Anticipation and Response on Wikipedia

Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte

Comments Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021)

Unpacking the Expressed Consequences of AI Research in Broader Impact Statements

Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos

Comments 12 pages, AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) 2021; added reference and link to dataset

SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network

Mingmei Cheng, Le Hui, Jin Xie, Jian Yang

Comments Accepted by AAAI 2021; Project page: \<https://github.com/MMCheng/SSPC-Net>

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks

Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang

Comments Published by AAAI 2021

Online DR-Submodular Maximization with Stochastic Cumulative Constraints

Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel

Comments To appear in proceedings of AAAI 2021

Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing

Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello

Comments To appear in the 4th AAAI/ACM conference on AIES (2021)

More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction

Siddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman

Comments 4th AAAI/ACM Conference on AI, Ethics, and Society

Journal ref S Mehrotra, C. M. Jonker, and M. L. Tielman. More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction in Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES 21)

Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies

Beatrice Portelli, Daniele Passabì, Edoardo Lenzi, Giuseppe Serra, Enrico Santus, Emmanuele Chersoni

Comments 11 pages, AAAI, conference

Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis

Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song

Comments The uploaded version is a preprint of the accepted AAAI-21 paper

Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

Wei Guo, Aylin Caliskan

Comments 19 pages, 2 figures, 4 tables

Journal ref AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 2021

AI and Shared Prosperity

Katya Klinova, Anton Korinek

Journal ref Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES '21)

Modeling the EdNet Dataset with Logistic Regression

Philip I. Pavlik, Luke G. Eglington

Comments 5 pages, AAAI Workshop on AI in Education (Imagining Post-COVID Education with AI)

Journal ref AAAI 2021 Workshop on AI in Education

Detecting Beneficial Feature Interactions for Recommender Systems

Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu

Comments 14 pages, 7 figures, 5 tables, AAAI 2021

A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness

Mohammad Yaghini, Andreas Krause, Hoda Heidari

Comments In the forth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-2021)