AAAI

Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities

Tyler J. Shipp, Daniel J. Clouse, Michael J. De Lucia, Metin B. Ahiskali, Kai Steverson, Jonathan M. Mullin, Nathaniel D. Bastian

Comments Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits

Comments Submitted to AAAI 2021

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction

Chenhan Yuan, Ryan Rossi, Andrew Katz, Hoda Eldardiry

Comments 10 pages, 3 figures, submitted to AAAI

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry

Comments 9 pages, 6 figures, submitted to AAAI

Scientific Calculator for Designing Trojan Detectors in Neural Networks

Peter Bajcsy, Nicholas J. Schaub, Michael Majurski

Comments Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA

Attribute Propagation Network for Graph Zero-shot Learning

Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

Comments AAAI 2020

InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions

Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha Talukdar

Comments Accepted at AAAI 2020

Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds

Piyush Bagad, Aman Dalmia, Jigar Doshi, Arsha Nagrani, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agarwal, Rahul Panicker

Comments Under submission to AAAI 20

Contiguous Cake Cutting: Hardness Results and Approximation Algorithms

Paul W. Goldberg, Alexandros Hollender, Warut Suksompong

Comments Appears in the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020

Journal ref Journal of Artificial Intelligence Research, 69:109-141 (2020)

Game Level Clustering and Generation using Gaussian Mixture VAEs

Zhihan Yang, Anurag Sarkar, Seth Cooper

Comments 6 pages, 5 figures, 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020)

Machine Guides, Human Supervises: Interactive Learning with Global Explanations

Teodora Popordanoska, Mohit Kumar, Stefano Teso

Comments Preliminary version. Submitted to AAAI'21

Combining Machine Learning Models using combo Library

Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding

Comments In Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

The Chess Transformer: Mastering Play using Generative Language Models

David Noever, Matt Ciolino, Josh Kalin

Comments 7 Pages, 6 Figures, AAAI Format, AAAI 21

End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking

Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang

Comments 9 pages, 3 figures

Journal ref Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI '20). 2020, New York, USA. AAAI, New York, NY, USA

CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning

Daojian Zeng, Ranran Haoran Zhang, Qianying Liu

Comments AAAI 2020

Exploring Level Blending across Platformers via Paths and Affordances

Anurag Sarkar, Adam Summerville, Sam Snodgrass, Gerard Bentley, Joseph Osborn

Comments 6 pages, 5 figures, 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020)

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

Comments Published at AAAI 2019

Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours

Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan

Comments 8 pages, 4 figures, Accepted at AAAI 2020 & AIES (Oral) 2020

Detecting Human-Object Interactions via Functional Generalization

Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa

Comments AAAI 2020

"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games

Mikhail Jacob, Sam Devlin, Katja Hofmann

Comments 7 pages, 3 figures, to be published in the 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20)

Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data

Dilruk Perera, Roger Zimmermann

Journal ref Association for the Advancement of Artificial Intelligence, 2020 (AAAI'20)

Finding Action Tubes with a Sparse-to-Dense Framework

Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu

Comments 5 figures; AAAI 2020

Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy

Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan

Comments Accepted and to appear in the Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2020

How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels

Hua Shen, Ting-Hao Kenneth Huang

Comments Accepted by The 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020) https://github.com/huashen218/GuessWrongLabel

Reinforcement Learning with Quantum Variational Circuits

Owen Lockwood, Mei Si

Comments Accepted to AIIDE 2020 Updated to better reflect AAAI formatting

Discourse Level Factors for Sentence Deletion in Text Simplification

Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li

Comments Accepted in AAAI 2020. Adding more details on manual data annotation

Fatigue-aware Bandits for Dependent Click Models

Junyu Cao, Wei Sun, Zuo-Jun, Shen, Markus Ettl

Journal ref AAAI. 2020

Learning Geo-Contextual Embeddings for Commuting Flow Prediction

Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Claudio T. Silva

Comments Github: https://github.com/jackmiemie/GMEL

Journal ref Thirty-Fourth AAAI Conference on Artificial Intelligence (2020)

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

Comments 8 pages, Accepted at AAAI Conference on Artificial Intelligence (AAAI), 2020 [oral paper]; minor fixes, updated experiments

Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation

Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan

Comments Accepted by AAAI 2020 with supplementary material