AAAI

Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter

Savvas Zannettou, Tristan Caulfield, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn

Comments To appear at the 14th International AAAI Conference on Web and Social Media (ICWSM 2020). Please cite accordingly

Journal ref Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 774-785 (2020)

A Quantitative Approach to Understanding Online Antisemitism

Savvas Zannettou, Joel Finkelstein, Barry Bradlyn, Jeremy Blackburn

Comments To appear at the 14th International AAAI Conference on Web and Social Media (ICWSM 2020). Please cite accordingly

Journal ref Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 786-797 (2020)

From Black-box to White-box: Examining Confidence Calibration under different Conditions

Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff

Comments Accepted on SafeAI 2021 workshop on AAAI 2021 conference

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks

Marissa Dotter, Sherry Xie, Keith Manville, Josh Harguess, Colin Busho, Mikel Rodriguez

Comments Accepted to RSEML Workshop at AAAI 2021

The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks

Arno Blaas, Stephen J. Roberts

Comments 4 pages, 2 tables, AAAI 2021 Workshop Towards Robust, Secure and Efficient Machine Learning

Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective

Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles Hughes, Yanjie Fu

Comments AAAI 2021

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation

Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu

Comments Accepted to AAAI 2021

Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking

Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui

Comments Accepted at AAAI 2021

OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space

Sungkwon An, Jeonghoon Kim, Myungjoo Kang, Shahbaz Razaei, Xin Liu

Comments Accepted to AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning

SG-Net: Syntax Guided Transformer for Language Representation

Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang

Comments The early version accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Journal extension of arXiv:1908.05147 (AAAI 2020)

How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising

Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng

Comments Accepted as a full paper at ICWSM 2021

Journal ref Proc. AAAI Intl. Conference on Web and Social Media (ICWSM) 2021

Predicting Forest Fire Using Remote Sensing Data And Machine Learning

Suwei Yang, Massimo Lupascu, Kuldeep S. Meel

Comments 8 pages, 3 figures, to be published in the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)

AutoDropout: Learning Dropout Patterns to Regularize Deep Networks

Hieu Pham, Quoc V. Le

Comments Accepted to AAAI 2021

Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding

Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi

Comments Task overview for Acronym Identification and Acronym Disambiguation at Scientific Document Understanding workshop at AAAI 2021

Primer AI's Systems for Acronym Identification and Disambiguation

Nicholas Egan, John Bohannon

Comments In the Scientific Document Understanding workshop at AAAI 2021

Towards Robust Deep Learning with Ensemble Networks and Noisy Layers

Yuting Liang, Reza Samavi

Comments Accepted into AAAI RSEML 2021 workshop

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu

Comments Accepted by AAAI 2021

Efficient Poverty Mapping using Deep Reinforcement Learning

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

Comments Accepted at AAAI 2021

How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

Comments 9 pages, 3 figures, Accepted by Association for the Advancement of Artificial Intelligence 2021 (AAAI 2021)

On Baselines for Local Feature Attributions

Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci

Comments Accepted at the AAAI-21 Workshop on Explainable Agency in AI

Strategic Features for General Games

Cameron Browne, Dennis J. N. J. Soemers, Eric Piette

Comments Paper exactly as it appeared at KEG Workshop held at AAAI 2019

Journal ref Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence (AAAI 2019)

Beyond Low-frequency Information in Graph Convolutional Networks

Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

Comments Accepted by AAAI 2021

End-to-end Semantic Role Labeling with Neural Transition-based Model

Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji

Comments Accepted at AAAI 2021

A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation

Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao

Comments Accepted to AAAI-2021

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices

Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren

Comments To appear in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21)

The Value-Improvement Path: Towards Better Representations for Reinforcement Learning

Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver

Comments AAAI-21

Variational Inference for Learning Representations of Natural Language Edits

Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo

Comments Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks

Youngmin Ro, Jin Young Choi

Comments Accepted to AAAI 2021

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

Comments Accepted to AAAI 2021

Protecting the Protected Group: Circumventing Harmful Fairness

Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz

Comments Published in AAAI 2021