AAAI 2021

1,961 papers

GTA: Graph Truncated Attention for Retrosynthesis

Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee

Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations

Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie

StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling

Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman

Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent

Peter Schaldenbrand, Jean Oh

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG

Pritam Sarkar, Ali Etemad

DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis

Md Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham

Research Reproducibility as a Survival Analysis

Edward Raff

Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service

Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia

RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims

PKS Prakash, Srinivas Chilukuri, Nikhil Ranade, Shankar Viswanathan

Pragmatic Code Autocomplete

Gabriel Poesia, Noah Goodman

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code

Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates

Symbolic Music Generation with Transformer-GANs

Aashiq Muhamed, Liang Li, Xingjian SHI, Suri Yaddanapudi, Wayne Chi

Low-Rank Registration Based Manifolds for Convection-Dominated PDEs

Rambod Mojgani, Maciej Balajewicz

Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning

Christos Markos, James J. Q. Yu, Richard Yi Da Xu

Programmatic Strategies for Real-Time Strategy Games

Julian R. H. Mariño, Rubens O. Moraes, Tassiana C. Oliveira, Claudio Toledo, Levi H. S. Lelis

PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning

Yuan Luo, Chengsheng Mao

RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction

Ziyi Liu, Fulin Luo, Bo Du

Deep Style Transfer for Line Drawings

Xueting Liu, Wenliang Wu, Huisi Wu, Zhenkun Wen

Relational Classification of Biological Cells in Microscopy Images

Ping Liu, Mustafa Bilgic

In-game Residential Home Planning via Visual Context-aware Global Relation Learning

Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang

Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems

Lewis Liu, Kun Zhao

Community-Aware Multi-Task Transportation Demand Prediction

Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou

MeInGame: Create a Game Character Face from a Single Portrait

Jiangke Lin, Yi Yuan, Zhengxia Zou

RevMan: Revenue-aware Multi-task Online Insurance Recommendation

Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou

Traffic Flow Prediction with Vehicle Trajectories

Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang

Two-Stream Convolution Augmented Transformer for Human Activity Recognition

Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen

Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws

Kookjin Lee, Kevin T. Carlberg

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery

Jihyeon Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search

Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-jui Hsieh

Deep Contextual Clinical Prediction with Reverse Distillation

Rohan Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit

Estimating Calibrated Individualized Survival Curves with Deep Learning

Fahad Kamran, Jenna Wiens

Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce

Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang

Complex Coordinate-Based Meta-Analysis with Probabilistic Programming

Valentin Iovene, Gaston E Zanitti, Demian Wassermann

Deep Portfolio Optimization via Distributional Prediction of Residual Factors

Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa

The Causal Learning of Retail Delinquency

Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng

SDGNN: Learning Node Representation for Signed Directed Networks

Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng

Modeling the Compatibility of Stem Tracks to Generate Music Mashups

Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang

Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee

Automated Lay Language Summarization of Biomedical Scientific Reviews

Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen

Hierarchical Graph Convolution Network for Traffic Forecasting

Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao

Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery

Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall

ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning

Tomer Golany, Daniel Freedman, Kira Radinsky

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction

Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao

Universal Trading for Order Execution with Oracle Policy Distillation

Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang

Gene Regulatory Network Inference using 3D Convolutional Neural Network

Yue Fan, Xiuli Ma

When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing

Chinmoy Dutta

KAN: Knowledge-aware Attention Network for Fake News Detection

Yaqian Dun, Kefei Tu, Chen Chen, Chunyan Hou, Xiaojie Yuan

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam

Differentially Private Link Prediction with Protected Connections

Abir De, Soumen Chakrabarti

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

Rui Cheng, Qing Li

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring

Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han

A Bottom-Up DAG Structure Extraction Model for Math Word Problems

Yixuan Cao, Feng Hong, Hongwei Li, Ping Luo

TreeCaps: Tree-Based Capsule Networks for Source Code Processing

Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang

Optimal Kidney Exchange with Immunosuppressants

Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh

Efficient Poverty Mapping from High Resolution Remote Sensing Images

Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David Lobell

The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media

Barrett R. Anderson, Adam M. Smith