AAAI

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs

Ayaan Haque

Comments AAAI 2021; 7 pages, 7 figures, 2 tables

Graph Neural Ordinary Differential Equations

Michael Poli, Stefano Massaroli, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park

Comments Accepted [Spotlight] at the AAAI workshop DLGMA20. For the extended version, see "Continuous-Depth Neural Models for Dynamic Graph Prediction"

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training

Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang

Comments Accepted by AAAI 2021

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis

Comments Accepted to AAAI 2021

Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation

Raj Dabre, Atsushi Fujita

Comments 22 pages. Under review. Work in progress. Extended version of https://ojs.aaai.org//index.php/AAAI/article/view/4590 which is an extension of arXiv:1807.05353 . The focus is on analyzing the limitations of recurrently stacked layers and methods to overcome said limitations

Envisioning Communities: A Participatory Approach Towards AI for Social Good

Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian

Comments Bondi and Xu Equal contribution. 12 pages, 5 figures. Accepted at the Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-21)

Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path

Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi

Comments In proceedings of the 35th AAAI Conference on Artificial Intelligence

A Two-stage Multi-modal Affect Analysis Framework for Children with Autism Spectrum Disorder

Jicheng Li, Anjana Bhat, Roghayeh Barmaki

Comments 8 pages including reference; 8 figures

Journal ref The AAAI-21 Workshop On Affective Content Analysis; 2021

Dynamically Grown Generative Adversarial Networks

Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

Comments Accepted to AAAI 2021

Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks

Byunggill Joe, Akshay Mehra, Insik Shin, Jihun Hamm

Journal ref AAAI 2021 Workshop on Trustworthy AI for Healthcare

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading

Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro

Comments AAAI 2021, final version. 7 pages content + 2 pages references

Graph Neural Networks with Heterophily

Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

Comments Proceedings version of AAAI 2021 with appendix and additional typo fixes; 12 pages, 4 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 35, 12 (May 2021), 11168-11176

An LP-Based Approach for Goal Recognition as Planning

Luísa R. de A. Santos, Felipe Meneguzzi, Ramon Fraga Pereira, André Grahl Pereira

Comments 8 pages, 4 tables, 3 figures. Published in AAAI 2021. Updated final authorship and text

Journal ref AAAI 2021: 11939-11946

A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs

Sébastien Lallé, Cristina Conati

Comments The AAAI 2019 Workshop on Plan, Activity, and Intent Recognition

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

Ailin Deng, Bryan Hooi

Comments Accepted at AAAI Conference on Artificial Intelligence (AAAI), 2021

GAN Ensemble for Anomaly Detection

Xu Han, Xiaohui Chen, Li-Ping Liu

Comments 8 pages, 6 figures. To appear in Proceedings 35th AAAI Conference on Artificial Intelligence (AAAI 21)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 35(5), 4090-4097 (2021). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/16530

On Continuous Local BDD-Based Search for Hybrid SAT Solving

Anastasios Kyrillidis, Moshe Y. Vardi, Zhiwei Zhang

Comments AAAI 21

A Controllable Model of Grounded Response Generation

Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan

Comments AAAI 2021

Learning from Crowds by Modeling Common Confusions

Zhendong Chu, Jing Ma, Hongning Wang

Comments Accepted by AAAI 2021

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh Iyer

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 35. 9(2021): 8110-8118

How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation

Swaroop Mishra, Anjana Arunkumar

Comments AAAI 2021

CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction

Matías Mendieta, Hamed Tabkhi

Comments AAAI-21 Camera Ready

Corpus-Level End-to-End Exploration for Interactive Systems

Zhiwen Tang, Grace Hui Yang

Comments Accepted into AAAI 2020

DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval

Zhiwen Tang, Grace Hui Yang

Journal ref Proceedings of the AAAI 2019 Conference on Artificial Intelligence, 33(01), 289-296

An Early Look at the Parler Online Social Network

Max Aliapoulios, Emmi Bevensee, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou

Journal ref Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 943--951 (2021)

Adversarial Training and Provable Robustness: A Tale of Two Objectives

Jiameng Fan, Wenchao Li

Comments Accepted at AAAI 2021

Journal ref Vol. 35 No. 8: AAAI-2021 Technical Tracks 8

Learning Dynamics Models with Stable Invariant Sets

Naoya Takeishi, Yoshinobu Kawahara

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 35(11), 9782-9790, 2021

Identifying Misinformation from Website Screenshots

Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis

Journal ref The International AAAI Conference on Web and Social Media (ICWSM) 2021

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

Umang Gupta, Aaron M Ferber, Bistra Dilkina, Greg Ver Steeg

Comments This version fixes an error in Theorem 2 of the original manuscript that appeared at the Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21). Code is available at https://github.com/umgupta/fairness-via-contrastive-estimation

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio

Comments AAAI 2021 camera-ready version with supplementary materials, improved readability of figures in main article. Code, data and trained models are available at https://github.com/ds4dm/branch-search-trees

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2021, 35(5), 3931-3939