AAAI

Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability

Litu Rout

Comments 35th AAAI Conference on Artificial Intelligence

DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations

Ruben Tolosana, Paula Delgado-Santos, Andres Perez-Uribe, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales

Journal ref Proc. 35th AAAI Conference on Artificial Intelligence, 2021

Longitudinal Deep Kernel Gaussian Process Regression

Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant Honavar

Comments Paper accepted by 35th AAAI Conference on Artificial Intelligence

Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions

Siyu Ren, Kenny Q. Zhu

Comments To appear at AAAI 2021

On the Importance of Word Order Information in Cross-lingual Sequence Labeling

Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Zhaojiang Lin, Pascale Fung

Comments Accepted in AAAI-2021

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Xue Yang, Junchi Yan, Ziming Feng, Tao He

Comments 13 pages, 12 figures, 9 tables

Journal ref Thirty-Five AAAI Conference on Artificial Intelligence (AAAI2021)

Improving Fairness and Privacy in Selection Problems

Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi

Comments This paper has been accepted for publication in the 35th AAAI Conference on Artificial Intelligence

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui

Comments To appear in AAAI 2021. Codes are available at https://github.com/yanx27/JS3C-Net

Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games

Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

Comments Presented at the AAAI-21 Workshop on Reinforcement Learning in Games

Learning Graph Neural Networks with Approximate Gradient Descent

Qunwei Li, Shaofeng Zou, Wenliang Zhong

Comments 23 pages, accepted at AAAI 2021

CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation

Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi

Comments Accepted to AAAI 2021

Source Separation and Depthwise Separable Convolutions for Computer Audition

Gabriel Mersy, Jin Hong Kuan

Comments 2 pages, to appear in the AAAI-21 student abstract and poster program

Majority Opinion Diffusion in Social Networks: An Adversarial Approach

Ahad N. Zehmakan

Comments To appear in AAAI 2021

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

Tengfei Ma, Jie Chen

Comments AAAI 2021. Code is available at https://github.com/matenure/OTCoarsening

Probabilistic Model Checking of Robots Deployed in Extreme Environments

Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster

Comments Version accepted at the 33rd AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, 2019

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu

Comments Accepted by the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021

A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation

Jason R. Wilson, Leilani Gilpin, Irina Rabkina

Comments Accepted for presentation at the AAAI 2020 Fall Symposium Series, in the symposium for Artificial Intelligence for Human-Robot Interaction: Trust & Explainability in Artificial Intelligence for Human-Robot Interaction

Modeling Voters in Multi-Winner Approval Voting

Jaelle Scheuerman, Jason Harman, Nicholas Mattei, K. Brent Venable

Comments 9 pages, 4 figures. To be published in the Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021

ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare

Ali Burak Ünal, Mete Akgün, Nico Pfeifer

Comments AAAI 2021, Preprint version of the full paper with supplementary material

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation

Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park

Comments Accepted by AAAI 2021

Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments

Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

Comments Presented at the AAAI-21 Workshop on Reinforcement Learning in Games

Variational Fair Clustering

Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed

Comments Accepted to be published in AAAI 2021. The Code is available at: https://github.com/imtiazziko/Variational-Fair-Clustering

Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning

Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel

Comments Accepted to AAAI 2021

Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus

Marius Leordeanu, Mihai Pirvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar

Comments Accepted at the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

FracBits: Mixed Precision Quantization via Fractional Bit-Widths

Linjie Yang, Qing Jin

Comments Accepted by AAAI 2021

Object-Centric Image Generation from Layouts

Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm, Shikhar Sharma

Comments AAAI 2021

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification

Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He

Comments aaai 2021

Hypernym Detection Using Strict Partial Order Networks

Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia

Comments 8 pages

Journal ref AAAI 2020

Data Augmentation for Graph Neural Networks

Tong Zhao, Yozen Liu, Leonardo Neves, Oliver Woodford, Meng Jiang, Neil Shah

Comments AAAI 2021. This complete version contains the Appendix

An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images

Duy M. H. Nguyen, Duy M. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag

Comments In AAAI 2021 Workshop: Trustworthy AI for Healthcare