AAAI

Residual Continual Learning

Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim

Comments AAAI 2020

Facial Attribute Capsules for Noise Face Super Resolution

Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li

Comments To appear in AAAI 2020

Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations

Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro

Journal ref Published as a conference paper at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

One Homonym per Translation

Bradley Hauer, Grzegorz Kondrak

Comments 8 pages, including references

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. 2020

Video Face Super-Resolution with Motion-Adaptive Feedback Cell

Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li

Comments To appear in AAAI 2020

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks

Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan

Comments AAAI 2020 (Oral)

Differentiable Grammars for Videos

AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo

Journal ref AAAI-2020

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li

Comments AAAI 2020

The Efficiency of Human Cognition Reflects Planned Information Processing

Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths

Comments 13 pg (incl. supplemental materials); included in Proceedings of the 34th AAAI Conference on Artificial Intelligence

Online Similarity Learning with Feedback for Invoice Line Item Matching

Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomas Horvath

Journal ref published as workshop paper in AAAI workshop on intelligent processing automation, 2020

RLCard: A Toolkit for Reinforcement Learning in Card Games

Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu

Comments AAAI-20 Workshop on Reinforcement Learning in Games

Learning Occupational Task-Shares Dynamics for the Future of Work

Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming

Comments 9 pages, 5 figures, 6 tables, Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020

Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation

Kyle Tilbury, Jesse Hoey

Comments Accepted paper at COMARL AAAI 2020

A Bayesian Approach to Conversational Recommendation Systems

Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, Lorenzo Cimasoni

Comments Accepted for oral presentation at the \emph{AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems} (WICRS)

Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models

Wangchunshu Zhou, Ke Xu

Comments AAAI 2020

Bi-Directional Generation for Unsupervised Domain Adaptation

Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding

Comments 9 pages, 4 figures

Journal ref Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

Learning to Incorporate Structure Knowledge for Image Inpainting

Jie Yang, Zhiquan Qi, Yong Shi

Comments Accepted by AAAI 2020

Global Greedy Dependency Parsing

Zuchao Li, Hai Zhao, Kevin Parnow

Comments Accepted by AAAI-20

Using Chinese Glyphs for Named Entity Recognition

Arijit Sehanobish, Chan Hee Song

Comments Extended abstract accepted to AAAI-2020, student track

Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning

Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang

Comments Accepted to AAAI-2020, Oral presentation

Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents

Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou

Comments Accepted to AAAI 2020

Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation

Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang

Comments Accepted at AAAI 2020

Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning

Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves

Comments AAAI 2020

Training Decision Trees as Replacement for Convolution Layers

Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci

Comments Will be published in the proceedings oft he AAAI 2020 conference

Improving the Evaluation of Generative Models with Fuzzy Logic

Julian Niedermeier, Gonçalo Mordido, Christoph Meinel

Comments AAAI 2020 Meta-Eval

Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis

Dhairya Dalal, Byron V. Galbraith

Comments AAAI IPA workshop submission

Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis

Ahmed Magooda, Diane Litman

Comments To be published in FLAIRS33 (https://www.flairs-33.info/) and appear in he proceedings of AAAI

A New Framework for Online Testing of Heterogeneous Treatment Effect

Miao Yu, Wenbin Lu, Rui Song

Comments 8 pages, no figures. To be published on AAAI 2020 proceedings

Diversity and Inclusion Metrics in Subset Selection

Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern

Journal ref AIES 2020: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

Comments Accepted by AAAI2020 with oral presentation (Accepted-Paper-List.pdf" target="_blank" rel="noopener">https://aaai.org/Conferences/AAAI-20/wp-content/uploads/2020/01/AAAI-20-Accepted-Paper-List.pdf). Since AAAI2020 has started, I have the right to distribute this paper on arXiv