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AAAI 2022

1,624 papers

RES: An Interpretable Replicability Estimation System for Research Publications

Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu

LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems

Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat

Semantic Feature Discovery with Code Mining and Semantic Type Detection

Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz

PantheonRL: A MARL Library for Dynamic Training Interactions

Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh

A Synthetic Prediction Market for Estimating Confidence in Published Work

Sarah Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji

FORCE: A Framework of Rule-Based Conversational Recommender System

Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu

EasySM: A Data-Driven Intelligent Decision Support System for Server Merge

Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen

AnomalyKiTS: Anomaly Detection Toolkit for Time Series

Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty

Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data

Nader Nader, Rafael Alexandrou, Iasonas Iasonas, Andreas Pamboris, Harris Papadopoulos

SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents

Andrea Loreggia, Simone Mosco, Alberto Zerbinati

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai

InteractEva: A Simulation-Based Evaluation Framework for Interactive AI Systems

Yannis Katsis, Maeda F. Hanafi, Martín Santillán Cooper, Yunyao Li

A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce

Lianghua Huang, Yu Liu, Bin Wang, PAN PAN, Rong Jin

MONICA2: Mobile Neural Voice Command Assistants towards Smaller and Smarter

Yoonseok Hong, Shounan An, Sunwoo Im, Jaegeon Jo, Insoo Oh

Dynamic Incentive Mechanism Design for COVID-19 Social Distancing

Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu

CCA: An ML Pipeline for Cloud Anomaly Troubleshooting

Lili Georgieva, Ioana Giurgiu, Serge Monney, Haris Pozidis, Viviane Potocnik

CrowdFL: A Marketplace for Crowdsourced Federated Learning

Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang

AI Assisted Data Labeling with Interactive Auto Label

Michael Desmond, Michelle Brachman, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi

UCSM-DNN: User and Card Style Modeling with Deep Neural Networks for Personalized Game AI

Daegeun Choe, Youngbak Jo, Shindong Kang, Shounan An, Insoo Oh

A Goal-Driven Natural Language Interface for Creating Application Integration Workflows

Michelle Brachman, Christopher Bygrave, Tathagata Chakraborti, Arunima Chaudhary, Zhining Ding

PYLON: A PyTorch Framework for Learning with Constraints

Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang

Building Goal-Oriented Dialogue Systems with Situated Visual Context

Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Bill Gao

Blocking Influence at Collective Level with Hard Constraints (Student Abstract)

Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji

A Multi-Factor Classification Framework for Completing Users’ Fuzzy Queries (Student Abstract)

Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu

Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract)

Jack Zhang, Guan Xiong Qiao, Alexandru Lopotenco, Ian Tong Pan

Predicting the Influence of Fake and Real News Spreaders (Student Abstract)

Amy Zhang, Aaron Brookhouse, Daniel Hammer, Francesca Spezzano, Liljana Babinkostova

Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract)

Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan

Learning to Evolve on Dynamic Graphs (Student Abstract)

Xintao Xiang, Tiancheng Huang, Donglin Wang

VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract)

Toki Takahashi, Ryota Higa, Katsuhide Fujita, Shinji Nakadai

Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)

Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)

Agnieszka Słowik, Léon Bottou, Sean B. Holden, Mateja Jamnik

Prototype-Based Explanations for Graph Neural Networks (Student Abstract)

Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin

Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)

Songwei Shan, Qi Tan, Yiu Chung Lau, Zhanwei Du, Eric H.Y. Lau

NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract)

Ritul Satish, Niranjan Rajesh, Argha Chakrabarty, Aditi Jain, Sristi Bafna

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract)

Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand

GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract)

Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun

Explainable Shapley-Based Allocation (Student Abstract)

Meir Nizri, Noam Hazon, Amos Azaria

Actionable Model-Centric Explanations (Student Abstract)

Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James K. Milller, Artur Dubrawski

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract)

Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu