AAAI

Structural Deep Embedding for Hyper-Networks

Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu

Comments Accepted by AAAI 18

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy

Comments To appear in AAAI 2018 as a spotlight paper. More details at the project page: http://mmlab.ie.cuhk.edu.hk/projects/M%26M/

Approximate Vanishing Ideal via Data Knotting

Hiroshi Kera, Yoshihiko Hasegawa

Comments 11 pages; AAAI'18

Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing

Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, Venkatesh Babu Radhakrishnan

Comments To be presented at AAAI-2018. Code, pre-trained models and dataset at github.com/val-iisc/sketchguess

Building Deep Networks on Grassmann Manifolds

Zhiwu Huang, Jiqing Wu, Luc Van Gool

Comments AAAI'18 paper

Approximate Inference via Weighted Rademacher Complexity

Jonathan Kuck, Ashish Sabharwal, Stefano Ermon

Comments In AAAI 2018 proceedings

A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

Shamil Chollampatt, Hwee Tou Ng

Comments 8 pages, 3 figures, In Proceedings of AAAI 2018

MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation

Anoop Aroor, Susan L. Epstein, Raj Korpan

Comments In AAAI 2017 Fall symposium on AI for HRI

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process

Haosheng Zou, Hang Su, Shihong Song, Jun Zhu

Comments accepted to AAAI-18

Probabilistic Planning by Probabilistic Programming

Vaishak Belle

Comments Article at AAAI-18 Workshop on Planning and Inference

A Question-Focused Multi-Factor Attention Network for Question Answering

Souvik Kundu, Hwee Tou Ng

Comments 8 pages, AAAI 2018

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Sijie Yan, Yuanjun Xiong, Dahua Lin

Comments Accepted by AAAI 2018

Training Set Debugging Using Trusted Items

Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright

Comments AAAI 2018

Improving Review Representations with User Attention and Product Attention for Sentiment Classification

Zhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen

Comments Accepted by AAAI-18

Decentralized High-Dimensional Bayesian Optimization with Factor Graphs

Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low

Comments 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), Extended version with proofs, 13 pages

The Geometric Block Model

Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha

Comments A shorter version of this paper has appeared in 32nd AAAI Conference on Artificial Intelligence. The AAAI proceedings version as well as the previous version in arxiv contained some errors that have been corrected in this version

Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling

Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto

Comments To appear in the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 9 pages

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Qimai Li, Zhichao Han, Xiao-Ming Wu

Comments AAAI-2018 Oral Presentation

Assertion-based QA with Question-Aware Open Information Extraction

Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li

Comments To be published at AAAI 2018

Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection

Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking

Comments Submitted to 2018 AAAI 1st conference on AI, Ethics, and Society. Awaiting review

Journal ref AAAI/ACM First conference on Artificial Intelligence, Ethics, and Society, New Orleans, USA, February 2018

Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs

Xinhang Song, Luis Herranz, Shuqiang Jiang

Comments AAAI Conference on Artificial Intelligence 2017

Journal ref AAAI Conference on Artificial Intelligence 2017, 4271-4277

Sequence-to-point learning with neural networks for nonintrusive load monitoring

Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel Goddard, Charles Sutton

Comments 8 pages, 3 figures

Journal ref The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018

Topic Modeling on Health Journals with Regularized Variational Inference

Robert Giaquinto, Arindam Banerjee

Comments Published in Thirty-Second AAAI Conference on Artificial Intelligence, February 2018, New Orleans, Louisiana, USA

Adversarial Learning for Chinese NER from Crowd Annotations

YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang

Comments 8 pages, AAAI-2018

Variational Recurrent Neural Machine Translation

Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang

Comments accepted by AAAI 18

tau-FPL: Tolerance-Constrained Learning in Linear Time

Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha

Comments 32 pages, 3 figures. This is an extended version of our paper published in AAAI-18

SEE: Syntax-aware Entity Embedding for Neural Relation Extraction

Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang

Comments 8 pages, AAAI-2018

DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices

Dawei Li, Xiaolong Wang, Deguang Kong

Comments AAAI 2018

Planning with Pixels in (Almost) Real Time

Wilmer Bandres, Blai Bonet, Hector Geffner

Comments Published at AAAI-18

Translating Pro-Drop Languages with Reconstruction Models

Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu

Comments Accepted by AAAI-18