AAAI

Supplementary material for Uncorrected least-squares temporal difference with lambda-return

Takayuki Osogami

Comments 9 pages, supplementary material for an AAAI-20 paper

Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting

Haoyu Zhao, Wei Chen

Comments Accepted to AAAI-20

Progressive Feature Polishing Network for Salient Object Detection

Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai

Comments Accepted by AAAI 2020

SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification

Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao

Comments To appear in AAAI 2020

Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach

Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang

Comments Accepted to AAAI 2020 (Oral). 8 pages, 4 figures. Camera-ready version

Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks

Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe

Comments Accepted to AAAI 2020 (Poster)

Artificial Intelligence Strategies for National Security and Safety Standards

Erik Blasch, James Sung, Tao Nguyen, Chandra P. Daniel, Alisa P. Mason

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations

A. Deliege, A. Cioppa, M. Van Droogenbroeck

Comments In AAAI-19 Workshop on Network Interpretability for Deep Learning. Published version of arXiv:1806.06519

Understanding the Importance of Single Directions via Representative Substitution

Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li

Comments In AAAI-19 Workshop on Network Interpretability for Deep Learning. Published version of arXiv:1811.11053

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks

Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee

Comments 8 pages, 7 figures, Accepted paper in AAAI Conference on Artificial Intelligence (AAAI), 2020

Classifying Relevant Social Media Posts During Disasters Using Ensemble of Domain-agnostic and Domain-specific Word Embeddings

Ganesh Nalluru, Rahul Pandey, Hemant Purohit

Comments Presented at AAAI FSS-19: Artificial Intelligence for Social Good, Arlington, Virginia, USA

Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making

David Paulus, Gerdien de Vries, Bartel Van de Walle

Comments 3 pager, 1 figure, AAAI Fall Symposium - AI for Social Good, November 7-9, 2019, Arlington, USA

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data

Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, Minlie Huang

Comments Long paper accepted at AAAI 2020

PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network

Dacheng Yin, Chong Luo, Zhiwei Xiong, Wenjun Zeng

Comments Accepted by AAAI'20

Blameworthiness in Security Games

Pavel Naumov, Jia Tao

Comments 34th AAAI Conference on Artificial Intelligence (AAAI-20), February 7-12, 2020, New York, New York, USA

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

Journal ref AAAI 2020

Attending to Entities for Better Text Understanding

Pengxiang Cheng, Katrin Erk

Comments Accepted at AAAI 2020

Gradient Boosts the Approximate Vanishing Ideal

Hiroshi Kera, Yoshihiko Hasegawa

Comments 9+10 pages, 1+4 figures, AAAI'20

Fast Learning of Temporal Action Proposal via Dense Boundary Generator

Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji

Comments Accepted by AAAI 2020. Ranked No. 1 on ActivityNet Challenge 2019 on Temporal Action Proposals (http://activity-net.org/challenges/2019/evaluation.html)

Integrating overlapping datasets using bivariate causal discovery

Anish Dhir, Ciarán M. Lee

Comments Accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). 8+2 pages, 3+3 figures. Comments welcome

Cost-Effective Incentive Allocation via Structured Counterfactual Inference

Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song

Journal ref Association for the Advancement of Artificial Intelligence (AAAI) 2020

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling

Comments To appear in AAAI 2019

Ruminating Word Representations with Random Noised Masker

Hwiyeol Jo, Byoung-Tak Zhang

Comments AAAI ver

Neural Networks for Predicting Human Interactions in Repeated Games

Yoav Kolumbus, Gali Noti

Journal ref Published in: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), AAAI Press, 2019, Pages 392-399

Priority Quality Attributes for Engineering AI-enabled Systems

Lena Pons, Ipek Ozkaya

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Scenarios and Recommendations for Ethical Interpretive AI

John Licato, Zaid Marji, Sophia Abraham

Comments To appear in the Proceedings of the Human-Centered AI: Trustworthiness of AI Models & Data (HAI) track at AAAI Fall Symposium, DC, November 7-9, 2019

Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions

Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu

Comments 8 pages. Accepted as a conference paper at AAAI-19 Technical Track

Journal ref AAAI 2019 6276-6283

Engineering Reliable Deep Learning Systems

P. Santhanam, Eitan Farchi, Victor Pankratius

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Assessing Regulatory Risk in Personal Financial Advice Documents: a Pilot Study

Wanita Sherchan, Simon Harris, Sue Ann Chen, Nebula Alam, Khoi-Nguyen Tran, Adam J. Makarucha, Christopher J. Butler

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Reinforcement Learning under Threats

Victor Gallego, Roi Naveiro, David Rios Insua

Comments Extends the verson published at the Proceedings of the AAAI Conference on Artificial Intelligence 33, https://www.aaai.org/ojs/index.php/AAAI/article/view/5106