AAAI 2021

1,961 papers

Why and What to Teach: AI Curriculum for Elementary School

Seonghun Kim, Yeonju Jang, Woojin Kim, Seongyune Choi, Heeseok Jung

Student Knowledge Prediction for Teacher-Student Interaction

Seonghun Kim, Woojin Kim, Yeonju Jang, Seongyune Choi, Heeseok Jung

PoseBlocks: A Toolkit for Creating (and Dancing) with AI

Brian Jordan, Nisha Devasia, Jenna Hong, Randi Williams, Cynthia Breazeal

Random Forests for Opponent Hand Estimation in Gin Rummy

Anthony Hein, May Jiang, Vydhourie Thiyageswaran, Michael Guerzhoy

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems

Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian V. Serban, François St-Hilaire

Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts

Eric Greenwald, Maxyn Leitner, Ning Wang

Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot

Benjamin Goldstein, Jean-Pierre Astudillo Guerra, Emily Haigh, Bryan Cruz Ulloa, Jeremy Blum

Evaluating Gin Rummy Hands Using Opponent Modeling and Myopic Meld Distance

Phoebe Goldman, Corey R. Knutson, Ryan Mahtab, Jack Maloney, Joseph B. Mueller

Estimating Card Fitness for Discard in Gin Rummy

Jacob Gallucci, Richard Bowser, Sarah Kettell, Christian Overton

Opponent Hand Estimation in the Game of Gin Rummy

Peter E. Francis, Hoang A. Just, Todd W. Neller

Heisenbot: A Rule-Based Game Agent for Gin Rummy

Matthew Eicholtz, Savanna Moss, Matthew Traino, Christian Roberson

Visualizing NLP in Undergraduate Students' Learning about Natural Language

Cecilia O. Alm, Alex Hedges

What are GANs?: Introducing Generative Adversarial Networks to Middle School Students

Safinah Ali, Daniella DiPaola, Cynthia Breazeal

A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy

Aqib Ahmed, Joshua Leppo, Michal Lesniewski, Riken Patel, Jonathan Perez

Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database

Sean McGregor

Empirical Best Practices On Using Product-Specific Schema.org

Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec

Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model

Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn

Representing the Unification of Text Featurization using a Context-Free Grammar

Doruk Kilitcioglu, Serdar Kadioglu

HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

Yifan Ding, Nicholas Botzer, Tim Weninger

Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19

Dongdong Wang, Shunpu Zhang, Liqiang Wang

Device Fabrication Knowledge Extraction from Materials Science Literature

Neelanshi Wadhwa, Sarath S, Sapan Shah, Sreedhar Reddy, Pritwish Mitra

Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning

Jonas Sonntag, Michael Engel, Lars Schmidt-Thieme

Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers’ Conversations in Hybrid Cloud Operations

Suranjana Samanta, Ajay Gupta, Prateeti Mohapatra, Amar Prakash Azad

DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting

Alexander Rodriguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho

A Reciprocal Embedding Framework For Modelling Mutual Preferences

R. Ramanathan, Nicolas K. Shinada, Michinobu Shimatani, Yuhei Yamaguchi, Junichi Tanaka

Using Online Planning and Acting to Recover from Cyberattacks on Software-defined Networks

Sunandita Patra, Alex Velazquez, Myong Kang, Dana Nau

Predicting Mining Industry Accidents with a Multitask Learning Approach

Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi

SKATE: A Natural Language Interface for Encoding Structured Knowledge

Clifton McFate, Aditya Kalyanpur, Dave Ferrucci, Andrea Bradshaw, Ariel Diertani

Reinforcement Learning-based Product Delivery Frequency Control

Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu

Twitter Event Summarization by Exploiting Semantic Terms and Graph Network

Quanzhi Li, Qiong Zhang

Personalizing Individual Comfort in the Group Setting

Emil Laftchiev, Diego Romeres, Daniel Nikovski

VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving

Chandan Kumar, Jayanth Ramesh, Bodhisattwa Chakraborty, Renjith Raman, Christoph Weinrich

Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems

Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyuturk, Roger H. French

Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction

Charles A. Kantor, Leonard Boussioux, Brice Rauby, Hugues Talbot

Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan Lavista Ferres

JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase

Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krihshna Konakanchi

Shape-based Feature Engineering for Solar Flare Prediction

Varad Deshmukh, Thomas Berger, James Meiss, Elizabeth Bradley

Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change

Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic

Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning

Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel

Data-Driven Multimodal Patrol Planning for Anti-poaching

Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi

Topological Machine Learning Methods for Power System Responses to Contingencies

Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel

Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes

Rajdeep H Banerjee, Abhinav Ravi, Ujjal Kr Dutta

Ontology-Enriched Query Answering on Relational Databases

Shqiponja Ahmetaj, Vasilis Efthymiou, Ronald Fagin, Phokion G. Kolaitis, Chuan Lei

Path to Automating Ocean Health Monitoring

Mak Ahmad, J. Scott Penberthy, Abigail Powell

Finding Needles in Heterogeneous Haystacks

Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian

A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots

Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu H. Lee

Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank

Anxiang Zeng, Han Yu, Hualin He, Yabo Ni, Yongliang Li

Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances

Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao

An Automated Engineering Assistant: Learning Parsers for Technical Drawings

Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert

Tool for Automated Tax Coding of Invoices

Tarun Tater, Sampath Dechu, Neelamadhav Gantayat, Meena Guptha, Sivakumar Narayanan

Using Unsupervised Learning for Data-driven Procurement Demand Aggregation

Eran Shaham, Adam Westerski, Rajaraman Kanagasabai, Amudha Narayanan, Samuel Ong

Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer

EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease

Brendan H. Rappazzo, Morgan E. Eisenlord, Olivia J. Graham, Lillian R. Aoki, Phoebe D. Dawkins

Author Homepage Discovery in CiteSeerX

Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles

Robust PDF Document Conversion using Recurrent Neural Networks

Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed Nassar

Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans

Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan

Comparison Lift: Bandit-based Experimentation System for Online Advertising

Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang

Automated Reasoning and Learning for Automated Payroll Management

Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen

An End-to-End Solution for Named Entity Recognition in eCommerce Search

Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer

Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans

Fatih Altay, Guillermo Ramón Sánchez, Yanli James, Stephen V. Faraone, Senem Velipasalar

Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues

Rui Yan, Wei Wu

Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory

Jörg Rothe

Unifying Principles and Metrics for Safe and Assistive AI

Siddharth Srivastava

Lifelong and Continual Learning Dialogue Systems: Learning during Conversation

Bing Liu, Sahisnu Mazumder

Improving Causal Inference by Increasing Model Expressiveness

David D. Jensen

Towards a Unifying Framework for Formal Theories of Novelty

Terrance Boult, Przemyslaw Grabowicz, Derek Prijatelj, Roni Stern, Lawrence Holder

Thinking Fast and Slow in AI

Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner

Land Deformation Prediction via Slope-Aware Graph Neural Networks

Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang

Forecasting Reservoir Inflow via Recurrent Neural ODEs

Fan Zhou, Liang Li

HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders

Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla Gomes

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing

Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang

Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach

Yiyuan Yang, Yi Li, Taojia Zhang, Yan Zhou, Haifeng Zhang

Predicting Forest Fire Using Remote Sensing Data And Machine Learning

Suwei Yang, Massimo Lupascu, Kuldeep S. Meel

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security

Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang

Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing

Fengyang Xu, Guanbin Li, Yunfei Du, Zhiguang Chen, Yutong Lu

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection

Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen

Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness

Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill

Evidence Aware Neural Pornographic Text Identification for Child Protection

Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun

Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service

Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey

Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest

Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos

Combining Machine Learning & Reasoning for Biodiversity Data Intelligence

Atriya Sen, Beckett Sterner, Nico Franz, Caleb Powel, Nathan Upham

RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery

Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis

We Don't Speak the Same Language: Interpreting Polarization through Machine Translation

Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom Mitchell

A Universal 2-state n-action Adaptive Management Solver

Luz Valerie Pascal, Marianne Akian, Sam Nicol, Iadine Chades

Goten: GPU-Outsourcing Trusted Execution of Neural Network Training

Lucien K. L. Ng, Sherman S. M. Chow, Anna P. Y. Woo, Donald P. H. Wong, Yongjun Zhao

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal

Mitigating Political Bias in Language Models through Reinforced Calibration

Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang

Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images

Kang Liu, Benjamin Tan, Siddharth Garg

Court Opinion Generation from Case Fact Description with Legal Basis

Quanzhi Li, Qiong Zhang

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone

Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches

Barak Itkin, Lior Wolf, Nachum Dershowitz

Project RISE: Recognizing Industrial Smoke Emissions

Yen-Chia Hsu, Ting-Hao (Kenneth) Huang, Ting-Yao Hu, Paul Dille, Sean Prendi

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

Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization

Michael Geden, Joshua Andrews

Predicting Flashover Occurrence using Surrogate Temperature Data

Eugene Yujun Fu, Wai Cheong Tam, Jun Wang, Richard Peacock, Paul A Reneke

K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management

Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chades

Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra

Zhengcong Fei

Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users

Moussa Doumbouya, Lisa Einstein, Chris Piech

Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use

Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav