AAAI

Adversarial Deep Network Embedding for Cross-network Node Classification

Xiao Shen, Quanyu Dai, Fu-lai Chung, Wei Lu, Kup-Sze Choi

Journal ref Proceedings of AAAI Conference on Artificial Intelligence (AAAI), pp. 2991-2999 (2020)

Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation

Jogendra Nath Kundu, Siddharth Seth, Rahul M, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty

Comments AAAI 2020 (Oral)

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions

Weiyu Cheng, Yanyan Shen, Linpeng Huang

Comments Accepted by AAAI'20

A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed

Hao Wu, Shuang Hao

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 01. 2020

End-to-End Game-Focused Learning of Adversary Behavior in Security Games

Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe

Comments Appeared at AAAI 2020

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

BingningWang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang

Comments AAAI-2020 camera ready

Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data

Nabeel Seedat, Vered Aharonson

Comments Accepted to AAAI 2020 (New York) - International Workshop on Health Intelligence

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object

Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe

Comments Accepted for publication to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Added algorithm 1, background on MPOMDP and OSPA

An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms

Gyanesh Anand, Akash Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney

Comments Preprint of paper accepted at AAAI, student abstract 2020

Quality Management of Machine Learning Systems

P. Santhanam

Comments AAAI-20 Workshop on Engineering Dependable and Secure Machine Learning Systems- February 7, 2020

New Interpretations of Normalization Methods in Deep Learning

Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

Comments Accepted by AAAI 2020

DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature

Chaoran Cheng, Fei Tan, Zhi Wei

Comments accepted by AAAI 2020

Behind the Mask: A Computational Study of Anonymous' Presence on Twitter

Keenan Jones, Jason R. C. Nurse, Shujun Li

Comments 12 pages, 5 figures. Published in the proceedings of the fourteenth International AAAI Conference on Web and Social Media

Journal ref Proceedings of the International AAAI Conference on Web and Social Media. 14, 1 (May 2020), 327-338

Planning with Abstract Learned Models While Learning Transferable Subtasks

John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek

Comments Accepted at AAAI-20, 9 pages

Surveys without Questions: A Reinforcement Learning Approach

Atanu R Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan

Comments The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, July 2019, pp. 257-64

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation

Mohammad Hamghalam, Baiying Lei, Tianfu Wang

Comments Will be published in Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu

Comments 8 pages, 7 figure, AAAI 2020

Uncertainty-Aware Deep Classifiers using Generative Models

Murat Sensoy, Lance Kaplan, Federico Cerutti, Maryam Saleki

Comments This is a post-referred version of a conference paper published in AAAI 2020

Towards Generating Virtual Movement from Textual Instructions A Case Study in Quality Assessment

Himangshu Sarma, Robert Porzel, Jan Smeddinck, Rainer Malaka

Journal ref AAAI HCOMP 2015, San Diego, USA

A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition

Kexin Feng, Theodora Chaspari

Comments AffCon@AAAI-20; Presented at AAAI-20 W1: Affective Content Analysis

Scalable and Generalizable Social Bot Detection through Data Selection

Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer

Comments AAAI 2020

BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text

Tanvi Dadu, Kartikey Pant, Radhika Mamidi

Comments Accepted at the Affective Content workshop held at AAAI 2020 as the Best System Paper

ADDMC: Weighted Model Counting with Algebraic Decision Diagrams

Jeffrey M. Dudek, Vu H. N. Phan, Moshe Y. Vardi

Comments Presented at AAAI 2020

BeCAPTCHA: Detecting Human Behavior in Smartphone Interaction using Multiple Inbuilt Sensors

Alejandro Acien, Aythami Morales, Julian Fierrez, Ruben Vera-Rodriguez, Ivan Bartolome

Comments AAAI-20 Workshop on Artificial Intelligence for Ciber Security (AICS), New York, NY, USA, February 2020. AICS-2020 Workshop

Extraction of Complex DNN Models: Real Threat or Boogeyman?

Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan

Comments 16 pages, 1 figure, Accepted for publication in AAAI-20 Workshop on Engineering Dependable and Secure Machine Learning Systems (AAAI-EDSMLS 2020)

Incidental Supervision: Moving beyond Supervised Learning

Dan Roth

Comments 6 pages, 1 figure. Appeared in AAAI-17

Single-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search

Arta Seify, Michael Buro

Comments Poster presentation at RL in Games Workshop, AAAI 2020

Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings

Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi

Comments Accepted to AAAI Conference on Artificial Intelligence: Student Abstract and Poster Program, AAAI:SAP 2020

Regulating Artificial Intelligence: Proposal for a Global Solution

Olivia J. Erdélyi, Judy Goldsmith

Comments 25 pages. A preliminary version appeared in the Proceedings of the First AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, pages 95-101, 2018

MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert

Shuke Peng, Feng Ji, Zehao Lin, Shaobo Cui, Haiqing Chen, Yin Zhang

Comments AAAI 2020, Spotlight Paper