AAAI

Robot Rights? Let's Talk about Human Welfare Instead

Abeba Birhane, Jelle van Dijk

Comments Accepted to the AIES 2020 conference in New York, February 2020. The final version of this paper will appear in Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society

Recurrent Point Processes for Dynamic Review Models

Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, Cesar Ojeda

Comments Presented at the AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems

Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations

Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel

Comments Accepted at the Ninth International Workshop on Statistical Relational AI, AAAI 2020

Weakly-Supervised Video Moment Retrieval via Semantic Completion Network

Zhijie Lin, Zhou Zhao, Zhu Zhang, Qi Wang, Huasheng Liu

Comments Accepted by AAAI 2020 as a full paper

Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation

Gaurav Singh, Zahra Sabet, John Shawe-Taylor, James Thomas

Comments International Workshop on Health Intelligence (W3PHIAI-20); AAAI-20

Adversarial Disentanglement with Grouped Observations

Jozsef Nemeth

Comments Accepted at the 34th AAAI Conference on Artificial Intelligence (AAAI-20)

A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children

Michael A. Skinner, Lakshmi Raman, Neel Shah, Abdelaziz Farhat, Sriraam Natarajan

Comments 6 pages, 1 figure, presented at the 2020 AAAI StarAI workshop

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

Journal ref AAAI 2020

Natural Image Matting via Guided Contextual Attention

Yaoyi Li, Hongtao Lu

Comments AAAI-20

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study

Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

Comments Accepted by AAAI 2020

Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes

Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer

Comments 8 pages, 3 figures, AAAI 2020

Journal ref AAAI 2020

Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification

Chris Dulhanty, Alexander Wong

Comments 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES 20) | V2 updated latex character rendering issues

RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search

Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan

Comments 2 pages, 2 figures

Journal ref AAAI 2020

Sex Trafficking Detection with Ordinal Regression Neural Networks

Longshaokan Wang, Eric Laber, Yeng Saanchi, Sherrie Caltagirone

Comments AAAI-20 workshop on Artificial Intelligence for Cyber Security (AICS)

Fairness in Machine Learning with Tractable Models

Michael Varley, Vaishak Belle

Comments In AAAI Workshop: Statistical Relational Artificial Intelligence (StarAI), 2020. (This is the extended version.)

Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid Domains by Leveraging Knowledge Compilation

Anton Fuxjaeger, Vaishak Belle

Comments In proceedings of ICAART, 2020. A version also appears in AAAI Workshop: Statistical Relational Artificial Intelligence (StarAI), 2020

Abstracting Probabilistic Models: A Logical Perspective

Vaishak Belle

Comments In AAAI Workshop: Statistical Relational Artificial Intelligence, 2020. (This is the extended version.)

Semiring Programming: A Declarative Framework for Generalized Sum Product Problems

Vaishak Belle, Luc De Raedt

Comments In AAAI Workshop: Statistical Relational Artificial Intelligence, 2020

Should Artificial Intelligence Governance be Centralised? Design Lessons from History

Peter Cihon, Matthijs M. Maas, Luke Kemp

Comments A shorter version of the paper is to be published in the proceedings of AAAI/ACM AIES 2020

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

Comments AAAI 2019 Fall Symposium Series. arXiv admin note: substantial text overlap with arXiv:2001.00461

Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing

Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek

Comments To be published in the AAAI Workshop on Artificial Intelligence of Things (AIoT), Feb 2020

A Probabilistic Simulator of Spatial Demand for Product Allocation

Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li

Comments 8 pages, The AAAI-20 Workshop on Intelligent Process Automation

Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach

Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah

Comments AAAI 2020 Workshop on Statistical Relational AI (StarAI 2020)

Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution

Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li

Comments 8 pages. arXiv admin note: text overlap with arXiv:1809.03672 by other authors

Journal ref AAAI 2020

An Open-World Extension to Knowledge Graph Completion Models

Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait

Comments 8 pages, accepted to AAAI-2019

Journal ref AAAI-19 Vol 33 (2019) 3044-3051

High Performance Depthwise and Pointwise Convolutions on Mobile Devices

Pengfei Zhang, Eric Lo, Baotong Lu

Comments 8 pages, Thirty-Four AAAI conference on Artificial Intelligence

Fine-Grained Entity Typing for Domain Independent Entity Linking

Yasumasa Onoe, Greg Durrett

Comments AAAI 2020

Exploring Unknown Universes in Probabilistic Relational Models

Tanya Braun, Ralf Möller

Comments Also accepted at the 9th StarAI Workshop at AAAI-20

Journal ref Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, 91-103

Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction

Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, Jiajun Chen

Comments Accepted by the 34th AAAI Conference on Artificial Intelligence (AAAI 2020)

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules

Bishwamittra Ghosh, Kuldeep S. Meel

Comments 10 pages, published in the proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES 2019)

Journal ref AIES-19: AAAI/ACM conference on Artificial Intelligence, Ethics, and SocietyAt: Honolulu, HI, United States, January 27-28, 2019