AAAI

Rule-Guided Compositional Representation Learning on Knowledge Graphs

Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

Comments The full version of a paper accepted to AAAI 2020

MULE: Multimodal Universal Language Embedding

Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer

Comments Accepted as an oral at AAAI 2020

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

Comments To be published at AAAI 2020 conference

Visual Agreement Regularized Training for Multi-Modal Machine Translation

Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun

Comments Accepted by AAAI 2020

Explicit Sentence Compression for Neural Machine Translation

Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao

Comments Working in progress, part of this work is accepted in AAAI-2020

HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation

Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua

Comments Accept by AAAI-2020, codes are available at https://github.com/chenchao666/HoMM-Master

DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier

Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu

Comments Accepted at AAAI-2020

Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume

Qingshan Xu, Wenbing Tao

Comments Accepted by AAAI-2020

Planar Prior Assisted PatchMatch Multi-View Stereo

Qingshan Xu, Wenbing Tao

Comments Accepted by AAAI-2020

Memory Augmented Graph Neural Networks for Sequential Recommendation

Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates

Comments Accepted by the 34th AAAI Conference on Artificial Intelligence (AAAI 2020)

Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization

Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma

Comments Accepted in AAAI Conference on Artificial Intelligence, 2018. Retrieved from https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16977

Effective Data Augmentation with Multi-Domain Learning GANs

Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda

Comments AAAI-2020

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal

Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao

Comments The paper was accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'2020)

Variational Autoencoder with Implicit Optimal Priors

Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi

Comments 9 pages, 9 figures, accepted at AAAI 2019. Code is available at https://github.com/takahashihiroshi/vae_iop

From Welcome New Gabbers to the Pittsburgh Synagogue Shooting: The Evolution of Gab

Reid McIlroy-Young, Ashton Anderson

Journal ref Proceedings of the International AAAI Conference on Web and Social Media, 13(01), 651-654 2019

Cascading Convolutional Color Constancy

Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia

Comments 9 pages, 5 figures, 4 tables, accepted by AAAI-20

Discrete and Continuous Action Representation for Practical RL in Video Games

Olivier Delalleau, Maxim Peter, Eloi Alonso, Adrien Logut

Comments Presented at the AAAI-20 Workshop on Reinforcement Learning in Games

Differentiable Reasoning on Large Knowledge Bases and Natural Language

Pasquale Minervini, Matko Bošnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette

Comments Accepted at the 34th AAAI Conference on Artificial Intelligence (AAAI-20)

Monte-Carlo Tree Search for Policy Optimization

Xiaobai Ma, Katherine Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer

Comments IJCAI 2019

Journal ref In Proceedings of the 28th International Joint Conference on Artificial Intelligence, pp. 3116-3122. AAAI Press, 2019

Adversarial Cross-Domain Action Recognition with Co-Attention

Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles

Comments AAAI 2020

Decoupled Attention Network for Text Recognition

Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Canjie Luo, Xiaoxue Chen, Yaqiang Wu, Qianying Wang, Mingxiang Cai

Comments 9 pages, 8 figures, 6 tables, accepted by AAAI-2020

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen

Comments AAAI 2020

Assessing Data Quality of Annotations with Krippendorff Alpha For Applications in Computer Vision

Joseph Nassar, Viveca Pavon-Harr, Marc Bosch, Ian McCulloh

Comments Accepted to AAAI Symposium 2019

Can Attention Masks Improve Adversarial Robustness?

Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati

Comments Version presented at AAAI-20 workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS)

Hidden Trigger Backdoor Attacks

Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash

Comments AAAI 2020 - Main Technical Track (Oral)

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon

Comments AAAI 2020

Embedding Uncertain Knowledge Graphs

Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. 2019

EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer

Zhijie Wu, Chunjin Song, Yang Zhou, Minglun Gong, Hui Huang

Comments Accepted by AAAI 2020

Dependable Neural Networks for Safety Critical Tasks

Molly O'Brien, William Goble, Greg Hager, Julia Bukowski

Comments 8 pages, 4 figures. Accepted to AAAI EDSMLS Workshop 2020

Practical Solutions for Machine Learning Safety in Autonomous Vehicles

Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang

Comments Accepted at Safe AI workshop at AAAI 2020