AAAI

Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning

Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau

Comments Accepted and presented at AAAI'19

Non-Autoregressive Machine Translation with Auxiliary Regularization

Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

Comments AAAI 2019

Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis

Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta

Comments Accepted for presentation at the First AAAI Spring Symposium: Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI, 2019 Stanford, CA

SepNE: Bringing Separability to Network Embedding

Ziyao Li, Liang Zhang, Guojie Song

Comments 8 pages, 4 figures, accepted in the Proceedings of the 33rd AAAI's Conference on Artificial Intelligence

Modularity as a Means for Complexity Management in Neural Networks Learning

David Castillo-Bolado, Cayetano Guerra-Artal, Mario Hernandez-Tejera

Comments Full-paper submited to the AAAI-MAKE 2019

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu

Comments 8 pages, AAAI 19

Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine

Joe Booth, Jackson Booth

Comments AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence

Journal ref AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence

Lattice CNNs for Matching Based Chinese Question Answering

Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao

Comments AAAI 2019, code: https://github.com/Erutan-pku/LCN-for-Chinese-QA

Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses

Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan

Comments Accepted as a long paper in the proceedings of AAAI-2019

Hypergraph Neural Networks

Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

Comments Accepted in AAAI'2019

Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems

Juho Lauri, Sourav Dutta

Comments AAAI 2019

A Comparative Analysis of Expected and Distributional Reinforcement Learning

Clare Lyle, Pablo Samuel Castro, Marc G. Bellemare

Comments To appear in the Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence

Generating Multiple Diverse Responses for Short-Text Conversation

Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi

Comments Accepted for publication at AAAI 2019

Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints

Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger

Comments 12 pages, 5 figures, Conference version at the the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), code of algorithms and experiments available at http://github.com/RalfRothenberger/Greedy-Maximization-of-Functions-with-Bounded-Curvature-under-Partition-Matroid-Constraints

Argumentation for Explainable Scheduling (Full Paper with Proofs)

Kristijonas Čyras, Dimitrios Letsios, Ruth Misener, Francesca Toni

Comments Full version (including proofs) of the paper published at AAAI-19

Plan-And-Write: Towards Better Automatic Storytelling

Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan

Comments Accepted by AAAI 2019

Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies

Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio

Comments In Proceedings of AAAI 2019

Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning

Woojun Kim, Myungsik Cho, Youngchul Sung

Comments The 33rd AAAI Conference on Artificial Intelligence (AAAI) 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization

Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

Comments AAAI-2019, 22 pages

How to Combine Tree-Search Methods in Reinforcement Learning

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Comments AAAI 2019

Task Transfer by Preference-Based Cost Learning

Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu

Comments Accepted to AAAI 2019. Mingxuan Jing and Xiaojian Ma contributed equally to this work

Regularized Evolution for Image Classifier Architecture Search

Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V Le

Comments Accepted for publication at AAAI 2019, the Thirty-Third AAAI Conference on Artificial Intelligence

CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness

Jiaqi Wu, Ryan Compton, Geetanjali Rakshit, Marilyn Walker, Pranav Anand, Steve Whittaker

Comments Workshop on Affective Content Analysis (AffCon) 2019, Workshop of Association for the Advancement of Artificial Intelligence (AAAI) 2019, Hawaii, USA January 2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement

Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang

Comments AAAI 2019

Context-Aware Self-Attention Networks

Baosong Yang, Jian Li, Derek Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu

Comments AAAI 2019

Transfer Learning for Sequence Labeling Using Source Model and Target Data

Lingzhen Chen, Alessandro Moschitti

Comments 9 pages, 4 figures, 3 tables, accepted paper in the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

A Domain Generalization Perspective on Listwise Context Modeling

Lin Zhu, Yihong Chen, Bowen He

Comments Accepted to AAAI 2019

Evaluating Older Users' Experiences with Commercial Dialogue Systems: Implications for Future Design and Development

Libby Ferland, Thomas Huffstutler, Jacob Rice, Joan Zheng, Shi Ni, Maria Gini

Comments In DEEP-DIAL19 workshop at AAAI-19, Honolulu, HI, USA

How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?

Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya

Comments In Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Diverse Exploration via Conjugate Policies for Policy Gradient Methods

Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong

Comments AAAI 2019