AAAI

Reliable Multi-label Classification: Prediction with Partial Abstention

Vu-Linh Nguyen, Eyke Hüllermeier

Comments 19 pages, 12 figures

Journal ref Proceedings AAAI-20, Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, 2020

A Nonconvex Projection Method for Robust PCA

Aritra Dutta, Filip Hanzely, Peter Richtárik

Comments In the proceedings of Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

Journal ref In the proceedings of Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 33(01), pp. 1468-1476, 2019

Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu

Comments in AAAI 2020

Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model

Qing Wan, Yoonsuck Choe

Comments AAAI-2020 Student Abstract and Poster Program (Accept)

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs

Darryl Hannan, Akshay Jain, Mohit Bansal

Comments AAAI 2020 (10 pages)

Block-wise Scrambled Image Recognition Using Adaptation Network

Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa

Comments 6 pages Artificial Intelligence of Things(AAAI-2020 WS)

Quantization-Based Regularization for Autoencoders

Hanwei Wu, Markus Flierl

Comments AAAI 2020

Near-lossless Binarization of Word Embeddings

Julien Tissier, Christophe Gravier, Amaury Habrard

Comments Accepted as a long paper at AAAI 2019

Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching

Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

Comments AAAI 2020, 8 pages

True Nonlinear Dynamics from Incomplete Networks

Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail

Comments AAAI 2020, 9 pages, 5 figures

Activism by the AI Community: Analysing Recent Achievements and Future Prospects

Haydn Belfield

Comments Forthcoming in Proceedings of the 2020 AAAI/ACM Conference on Artificial Intelligence, Ethics and Society. 7 pages

Temporal Interlacing Network

Hao Shao, Shengju Qian, Yu Liu

Comments Accepted to AAAI 2020. Winning entry of ICCV Multi-Moments in Time Challenge 2019. Code is available at https://github.com/deepcs233/TIN

Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification

Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen

Comments Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

Weak Supervision for Fake News Detection via Reinforcement Learning

Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao

Comments AAAI 2020

LATTE: Latent Type Modeling for Biomedical Entity Linking

Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy

Comments AAAI 2020 Conference

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai

Comments To be presented at AAAI 2020

Reinforcement Learning When All Actions are Not Always Available

Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas

Comments Thirty-fourth Conference on Artificial Intelligence (AAAI 2020)

Dynamic Transfer Learning for Named Entity Recognition

Parminder Bhatia, Kristjan Arumae, Busra Celikkaya

Comments AAAI 2019 Workshop on Health Intelligence

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang

Comments 8 pages, 4 figures, AAAI 2020

Modality-Balanced Models for Visual Dialogue

Hyounghun Kim, Hao Tan, Mohit Bansal

Comments AAAI 2020 (11 pages)

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Henrique Siqueira, Sven Magg, Stefan Wermter

Comments Accepted at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 1-1, New York, USA

DNNs as Layers of Cooperating Classifiers

Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard

Comments Accepted at AAAI-2020. The preprint contains additional figures and an appendix not included in the conference version. Main text remains unchanged

A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis

Johan Pauwels, György Fazekas, Mark B. Sandler

Comments Accepted for presentation at the Ninth International Workshop on Statistical Relational AI (StarAI 2020) at the 34th AAAI Conference on Artificial Intelligence (AAAI) in New York, on February 7th 2020

Knowledge Distillation from Internal Representations

Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Yao, Xing Fan, Chenlei Guo

Comments To appear in AAAI-2020

DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension

Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou

Comments Accepted by AAAI 2020

AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses

Tong Niu, Mohit Bansal

Comments AAAI 2020 (8 pages)

AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings

Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger

Comments Proceedings for AAAI 2019 Fall Symposium Series - Human-centered AI: Trustworthiness of AI Models & Data

SMT + ILP

Vaishak Belle

Comments In AAAI Workshop: Statistical Relational Artificial Intelligence (StarAI), 2020

A Formal Approach to Explainability

Lior Wolf, Tomer Galanti, Tamir Hazan

Journal ref Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, January 2019, Pages 255-261

Automated Anonymisation of Visual and Audio Data in Classroom Studies

Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci

Comments The Workshops of the Thirty-Fourth AAAI Conference on Artificial Intelligence