AAAI 2020

1,794 papers

Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering (Student Abstract)

Jiale Han, Bo Cheng, Xu Wang

Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract)

Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski

ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract)

Palak Goenka, Mehak Piplani, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah

An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract)

U-Ju Gim, Jae-Jun Lee, Jeong-Hun Kim, Young-Ho Park, Aziz Nasridinov

Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract)

Bhavya Ghai, Buvana Ramanan, Klaus Mueller

VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract)

Liangzhu Ge, Yuexian Hou, Yaju Jiang, Shuai Yao, Chao Yang

I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract)

Anurag Garg, Niket Tandon, Aparna S. Varde

Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract)

Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, ChengXiang Zhai

Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract)

Gabriele Galfré, Cornelia Caragea

Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract)

Deanna Flynn, P. Michael Furlong, Brian Coltin

American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract)

Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth Pathak, Huzefa Rangwala

Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract)

Elhadji Amadou Oury Diallo, Toshiharu Sugawara

Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract)

Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar

Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract)

Zichao Deng, Anqi Tu, Zelei Liu, Han Yu

When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract)

Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen

Learning to Model Opponent Learning (Student Abstract)

Ian Davies, Zheng Tian, Jun Wang

RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract)

Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei LIN

Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract)

Xi Chen, Afsaneh Doryab

CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization (Student Abstract)

Li Chen, Hua Xu

SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification (Student Abstract)

Yu Cao, Hua Xu

Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract)

Junghun Byun, Yong-Ho Cho, Tae-Ho Im, Hak-Lim Ko, Kyung-Seop Shin

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)

Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor

Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract)

Ritwik Bose, Siddharth Vashishtha, James Allen

Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)

Belainine Billal, Fatiha Sadat, Hakim Lounis

Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract)

Anjali Bhavan, Mohit Sharma, Ramit Sawhney, Rajiv Ratn Shah

Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract)

Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng

An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)

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

LatRec: Recognizing Goals in Latent Space (Student Abstract)

Leonardo Amado, Felipe Meneguzzi

Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract)

Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel

Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies

Jiaming Zeng

Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models

Julissa Villanueva Llerena, Denis Deratani Mauá

Explainability in Autonomous Pedagogical Agents

Silvia Tulli

Modeling Dynamic Behaviors within Population

Nazgol Tavabi

A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence

Patrick Shepherd, Judy Goldsmith

Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data

Annika Marie Schoene

Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks

Ece C. Mutlu

Abstract Constraints for Safe and Robust Robot Learning from Demonstration

Carl L. Mueller

Optimal Auction Based Automated Negotiation in Realistic Decentralised Market Environments

Pankaj Mishra, Ahmed Maustafa, Takayuki Ito, Minjie Zhang

Explainable Agency in Reinforcement Learning Agents

Prashan Madumal

Coalitional Strategic Behaviour in Collective Decision Making

Grzegorz Lisowski

Partial Correlation-Based Attention for Multivariate Time Series Forecasting

Won Kyung Lee

Abstract Rule Based Pattern Learning with Neural Networks

Radha Manisha Kopparti

Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns

Mimansa Jaiswal

Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities

Subhajit Chaudhury

Towards Adversarially Robust Knowledge Graph Embeddings

Peru Bhardwaj

Modelling a Conversational Agent with Complex Emotional Intelligence

Billal Belainine, Fatiha Sadat, Hakim Lounis

AI Trust in Business Processes: The Need for Process-Aware Explanations

Steve T.K. Jan, Vatche Ishakian, Vinod Muthusamy

Using Small Business Banking Data for Explainable Credit Risk Scoring

Wei Wang, Christopher Lesner, Alexander Ran, Marko Rukonic, Jason Xue

Discovery News: A Generic Framework for Financial News Recommendation

Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba

Kanji Workbook: A Writing-Based Intelligent Tutoring System for Learning Proper Japanese Kanji Writing Technique with Instructor-Emulated Assessment

Paul Taele, Jung In Koh, Tracy Hammond

Improving Efficiency of Volunteer-Based Food Rescue Operations

Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang

A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications

Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy

Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK

Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao

GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response

M Arif Rahman, Sarah M. Preum, Ronald Williams, Homa Alemzadeh, John A. Stankovic

EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response

Sarah Masud Preum, Sile Shu, Homa Alemzadeh, John A. Stankovic

Automated Utterance Generation

Soham Parikh, Quaizar Vohra, Mitul Tiwari

Chemical and Textual Embeddings for Drug Repurposing

Galia Nordon, Levi Gottlieb, Kira Radinsky

Iterative Data Programming for Expanding Text Classification Corpora

Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta

Machine-Learning-Based Functional Microcirculation Analysis

Ossama Mahmoud, GH Janssen, Mahmoud R El-Sakka

Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory

Hiep V. Le, Tsuyoshi Murata, Masato Iguchi

A System for Medical Information Extraction and Verification from Unstructured Text

Damir Juric, Giorgos Stoilos, Andre Melo, Jonathan Moore, Mohammad Khodadadi

Calorie Estimation in a Real-World Recipe Service

Jun Harashima, Makoto Hiramatsu, Satoshi Sanjo

A Machine Learning Approach to Identify Houses with High Lead Tap Water Concentrations

Seyedsaeed Hajiseyedjavadi, Michael Blackhurst, Hassan A Karimi

Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks

Hangzhi Guo, Alexander Woodruff, Amulya Yadav

Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation

Akshay Gugnani, Hemant Misra

Improving ECG Classification Using Generative Adversarial Networks

Tomer Golany, Gal Lavee, Shai Tejman Yarden, Kira Radinsky

Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments

Tong Geng, Xiliang Lin, Harikesh S. Nair

Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation

Alex Foo, Wynne Hsu, Mong Li Lee, Gilbert Lim, Tien Yin Wong

Analog Accelerator for Simulation and Diagnostics

Alexander Feldman, Ion Matei, Emil Totev, Johan de Kleer

Automatic Building and Labeling of HD Maps with Deep Learning

Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang

Detecting Suspicious Timber Trades

Debanjan Datta, M. Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone

Probabilistic Super Resolution for Mineral Spectroscopy

Alberto Candela, David R. Thompson, David Wettergreen, Kerry Cawse-Nicholson, Sven Geier

Did That Lost Ballot Box Cost Me a Seat? Computing Manipulations of STV Elections

Michelle Blom, Andrew Conway, Peter J. Stuckey, Vanessa J. Teague

Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting

Antonio Bevilacqua, Giovanni Ciampi, Rob Argent, Brian Caulfield, Tahar Kechadi

PIDS: An Intelligent Electric Power Management Platform

Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen

Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection

Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao

Clarity: Data-Driven Automatic Assessment of Product Competitiveness

Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani

Question Quality Improvement: Deep Question Understanding for Incident Management in Technical Support Domain

Anupama Ray, Pooja Aggarwal, Csaba Hadhazi, Gargi Dasgupta, Amit Paradkar

How Machine Learning Is Improving U.S. Navy Customer Support

Michael Powell, Jamison A Rotz, Kevin D O’Malley

Feedback-Based Self-Learning in Large-Scale Conversational AI Agents

Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo, Ruhi Sarikaya

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu

Embedding Convolution Neural Network-Based Defect Finder for Deployed Vision Inspector in Manufacturing Company Frontec

Kyoung Jun Lee, Jun Woo Kwon, Soohong Min, Jungho Yoon

Understanding Chat Messages for Sticker Recommendation in Messaging Apps

Abhishek Laddha, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa, Ankur Narang

Day-Ahead Forecasting of Losses in the Distribution Network

Nisha Dalal, Martin Mølnå, Mette Herrem, Magne Røen, Odd Erik Gundersen

Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy

Ian Beaver, Abdullah Mueen

Learning Attentive Pairwise Interaction for Fine-Grained Classification

Peiqin Zhuang, Yali Wang, Yu Qiao

iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection

Chenfan Zhuang, Xintong Han, Weilin Huang, Matthew Scott

Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification

Zhihui Zhu, XINYANG JIANG, Feng Zheng, Xiaowei Guo, Feiyue Huang

EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network

Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang

FASTER Recurrent Networks for Efficient Video Classification

Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli

Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos

Congcong Zhu, Hao Liu*(corresponding author), Zhenhua Yu, Xuehong Sun

Multi-Type Self-Attention Guided Degraded Saliency Detection

Ziqi Zhou, Zheng Wang, Huchuan Lu, Song Wang, Meijun Sun

When AWGN-Based Denoiser Meets Real Noises

Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang

Motion-Attentive Transition for Zero-Shot Video Object Segmentation

Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation

Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava

Ladder Loss for Coherent Visual-Semantic Embedding

Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang

Unified Vision-Language Pre-Training for Image Captioning and VQA

Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason Corso

Progressive Bi-C3D Pose Grammar for Human Pose Estimation

Lu Zhou, Yingying Chen, Jinqiao Wang, Hanqing Lu

Deep Domain-Adversarial Image Generation for Domain Generalisation

Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang

Discriminative and Robust Online Learning for Siamese Visual Tracking

Jinghao Zhou, Peng Wang, Haoyang Sun