AAAI

Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents

Michael Cerny Green, Benjamin Sergent, Pushyami Shandilya, Vibhor Kumar

Comments 9 pages, 7 figures, accepted to the Reinforcement Learning in Games workshop at AAAI 2019

Title-Guided Encoding for Keyphrase Generation

Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu

Comments AAAI 19

Towards Composable Bias Rating of AI Services

Biplav Srivastava, Francesca Rossi

Comments 6 pages, appeared in 2018 ACM/AAAI Conference on AI Ethics and Society (AIES 2018)

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma

Comments To be presented at AAAI 2019; 9 pages, 4 figures

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng

Comments AAAI 2019

ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation

J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme

Comments To be presented at AAAI 2019. 8 pages

Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors

Tong He, Stefano Soatto

Comments Proc. of the AAAI, September 2018

Interpretable Graph-Based Semi-Supervised Learning via Flows

Raif M. Rustamov, James T. Klosowski

Journal ref AAAI 2018

That's Mine! Learning Ownership Relations and Norms for Robots

Zhi-Xuan Tan, Jake Brawer, Brian Scassellati

Comments 9 pg., 2 fig., accepted for AAAI-2019. Video demo: https://bit.ly/2z8obET GitHub: https://github.com/OwnageBot/ownage_bot

How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning

Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe

Comments Accepted to AAAI 2019 Workshop on Network Interpretability for Deep Learning

Comparing Sample-wise Learnability Across Deep Neural Network Models

Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe

Comments Accepted to AAAI 2019 Student Abstract

Building Sequential Inference Models for End-to-End Response Selection

Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu

Comments Accepted by AAAI 2019, Workshop on DSTC7

Hyperprior Induced Unsupervised Disentanglement of Latent Representations

Abdul Fatir Ansari, Harold Soh

Comments AAAI-2019

Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing

Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh

Comments Accepted by AAAI 2019

Towards Automated Network Mitigation Analysis (extended)

Patrick Speicher, Marcel Steinmetz, Jörg Hoffmann, Michael Backes, Robert Künnemann

Comments Cleaned up presentation to focus on mitigation analysis in simulated pentesting. Stackelberg planning in a more general scope and the algorithm proposed in v1 are extended and discussed in more detail in Speicher et.al.: Stackelberg Planning: Towards Effective Leader-Follower State Space Search, AAAI'18

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best

Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John Woodward, Vanessa Volz, Diego Perez-Liebana

Comments 8 pages, to appear in 2019 AAAI workshop on Games and Simulations for Artificial Intelligence ( https://www.gamesim.ai/ )

Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets

Zhiwu Huang, Jiqing Wu, Luc Van Gool

Comments Accepted by AAAI 2019

Ethically Aligned Opportunistic Scheduling for Productive Laziness

Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung

Journal ref Proceedings of the 2nd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-19), 2019

On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games

Ilias Diakonikolas, Chrystalla Pavlou

Comments To appear in AAAI 2019

Weakly-Supervised Hierarchical Text Classification

Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han

Comments AAAI 2019

Toward the Engineering of Virtuous Machines

Naveen Sundar Govindarajulu, Selmer Bringsjord, Rikhiya Ghosh

Comments To appear in the proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES) 2019 (accepted-papers/" target="_blank" rel="noopener">http://www.aies-conference.com/accepted-papers/). This subsumes and completes the earlier partial formalization described in arXiv:1805.07797

Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction

Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren

Comments AAAI 2019

Learning Dynamic Generator Model by Alternating Back-Propagation Through Time

Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Comments 10 pages

Journal ref The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) 2019

TET-GAN: Text Effects Transfer via Stylization and Destylization

Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo

Comments Accepted by AAAI 2019. Code and dataset will be available at http://www.icst.pku.edu.cn/struct/Projects/TETGAN.html

Sequence to Sequence Learning for Query Expansion

Salah Zaiem, Fatiha Sadat

Comments 8 pages, 2 figures, AAAI-19 Student Abstract and Poster Program

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling

Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua

Comments Accepted in AAAI 2019 conference

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input

Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu

Comments AAAI 2019

GIRNet: Interleaved Multi-Task Recurrent State Sequence Models

Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti

Comments Accepted at AAAI 2019

Multilevel Language and Vision Integration for Text-to-Clip Retrieval

Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko

Comments AAAI 2019

A Novel Framework for Robustness Analysis of Visual QA Models

Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem

Comments Accepted by the Thirty-Third AAAI Conference on Artificial Intelligence, (AAAI-19), as an oral paper