AAAI

Lifelong Spectral Clustering

Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu

Comments 9 pages,7 figures

Journal ref AAAI 2020

Corpus Wide Argument Mining -- a Working Solution

Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim

Journal ref AAAI 2020

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

Comments 8 pages, 9 figures, AAAI-2020

TreeGen: A Tree-Based Transformer Architecture for Code Generation

Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang

Journal ref AAAI 2020

Controlling Neural Machine Translation Formality with Synthetic Supervision

Xing Niu, Marine Carpuat

Comments Accepted at AAAI 2020

Dynamic Embedding on Textual Networks via a Gaussian Process

Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Cheng, David Carlson, Lawrence Carin

Comments Accepted for presentation at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models

Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu

Comments Code available at: https://github.com/point0bar1/ebm-anatomy

Journal ref AAAI 2020

Learning General Latent-Variable Graphical Models with Predictive Belief Propagation

Borui Wang, Geoffrey Gordon

Comments In AAAI 2020 proceedings

Favorite-Candidate Voting for Eliminating the Least Popular Candidate in Metric Spaces

Xujin Chen, Minming Li, Chenhao Wang

Comments Accepted by AAAI 2020

Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting

Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng

Comments Accepted by AAAI 2020

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction

Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang

Comments Accepted to appear at AAAI 2020

Multi-Agent Actor-Critic with Hierarchical Graph Attention Network

Heechang Ryu, Hayong Shin, Jinkyoo Park

Comments Accepted as a conference paper at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA

An Empirical Study of Content Understanding in Conversational Question Answering

Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen

Comments Published at AAAI 2020

Repetitive Reprediction Deep Decipher for Semi-Supervised Learning

Guo-Hua Wang, Jianxin Wu

Comments Accepted by AAAI 2020

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian Reid

Comments Accepted by AAAI 2020

Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks

Yuan Cao, Quanquan Gu

Comments 27 pages. This version simplifies the proof and improves the presentation in Version 3. In AAAI 2020

PIQA: Reasoning about Physical Commonsense in Natural Language

Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi

Comments AAAI 2020

FairyTED: A Fair Rating Predictor for TED Talk Data

Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer

Comments 9 pages, 4 figures, 3 tables. Accepted as a conference paper to be presented at AAAI 2020

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers

Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song

Comments AAAI 2020

Integrating Relation Constraints with Neural Relation Extractors

Yuan Ye, Yansong Feng, Bingfeng Luo, Yuxuan Lai, Dongyan Zhao

Comments Accepted to AAAI-2020

Relevance-Promoting Language Model for Short-Text Conversation

Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam

Comments AAAI 2020

Optimization of Chance-Constrained Submodular Functions

Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton

Comments Accepted for oral presentation at AAAI 2020

A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis

Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim

Comments Accepted to AAAI 2020

Multi-Task Driven Feature Models for Thermal Infrared Tracking

Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yonsheng Liang

Comments Thirty-Fourth AAAI Conference on Artifical Intelligence

CAWA: An Attention-Network for Credit Attribution

Saurav Manchanda, George Karypis

Comments To appear in AAAI 2020

Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism

Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang

Comments 8 pages, 5 figures, accepted by AAAI-20 as an oral presentation

Effective Decoding in Graph Auto-Encoder using Triadic Closure

Han Shi, Haozheng Fan, James T. Kwok

Comments Accepted by AAAI 2020

Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns

Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Journal ref The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020

Identifying Model Weakness with Adversarial Examiner

Michelle Shu, Chenxi Liu, Weichao Qiu, Alan Yuille

Comments To appear in AAAI-20

Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning

Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

Comments Accepted to AAAI 2020 as an oral