AAAI

Generative learning for deep networks

Boris Flach, Alexander Shekhovtsov, Ondrej Fikar

Comments submitted to AAAI

Adversarial Dropout for Supervised and Semi-supervised Learning

Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon

Comments submitted to AAAI-18

Shared Learning : Enhancing Reinforcement in $Q$-Ensembles

Rakesh R Menon, Balaraman Ravindran

Comments Submitted to AAAI 2018

Fine-Grained Car Detection for Visual Census Estimation

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei

Comments AAAI 2016

Learning the Enigma with Recurrent Neural Networks

Sam Greydanus

Comments 7 pages, 11 figures, intended submission for AAAI 2017

Quality Enhancement by Weighted Rank Aggregation of Crowd Opinion

Sujoy Chatterjee, Anirban Mukhopadhyay, Malay Bhattacharyya

Comments Works-in-Progress, Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Quebec City, Canada

Identifying Unsafe Videos on Online Public Media using Real-time Crowdsourcing

Sankar Kumar Mridha, Braznev Sarkar, Sujoy Chatterjee, Malay Bhattacharyya

Comments Works-in-Progress, Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Quebec City, Canada

Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection

JT Turner, Adam Page, Tinoosh Mohsenin, Tim Oates

Comments Old draft of AAAI paper, AAAI Spring Symposium Series. 2014

Deep Style Match for Complementary Recommendation

Kui Zhao, Xia Hu, Jiajun Bu, Can Wang

Comments Workshops at the Thirty-First AAAI Conference on Artificial Intelligence

Design Activism for Minimum Wage Crowd Work

Akash Mankar, Riddhi J. Shah, Matthew Lease

Comments This is an extended online version of the paper accepted to the 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017)

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

Comments The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017)

UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS

Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati

Comments Appeared (under the same title) in AAAI/IAAI 2017

The Multivariate Generalised von Mises distribution: Inference and applications

Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner

Comments 16 pages, 8 figures. Final version available at AAAI Press website: AAAI/AAAI17/paper/view/15020" target="_blank" rel="noopener">https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/15020. This version includes supplementary material submitted to, but not published, in the AAAI proceedings

Self-Correcting Models for Model-Based Reinforcement Learning

Erik Talvitie

Comments Original paper appeared in Proceedings of the 31st AAAI Conference on Artificial Intelligence, 2017. This version incorporates the appendix into document (rather than as supplementary material), corrects a minor error in Lemma 1, and fixes some type-os

Journal ref Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2597-2603 (2017)

Computational Aspects of Nearly Single-Peaked Electorates

Gábor Erdélyi, Martin Lackner, Andreas Pfandler

Comments Published in the Journal of Artificial Intelligence Research (JAIR). A short version of this paper appeared in the proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2013). An even earlier version appeared in the proceedings of the Fourth International Workshop on Computational Social Choice 2012 (COMSOC 2012)

Journal ref Journal of Artificial Intelligence Research (JAIR), 58: 297-337 (2017)

Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design

Snehalkumar "Neil" S. Gaikwad, Nalin Chhibber, Vibhor Sehgal, Alipta Ballav, Catherine Mullings, Ahmed Nasser, Angela Richmond-Fuller, Aaron Gilbee, Dilrukshi Gamage, Mark Whiting, Sharon Zhou, Sekandar Matin, Senadhipathige Niranga, Shirish Goyal, Dinesh Majeti, Preethi Srinivas, Adam Ginzberg, Kamila Mananova, Karolina Ziulkoski, Jeff Regino, Tejas Sarma, Akshansh Sinha, Abhratanu Paul, Christopher Diemert, Mahesh Murag, William Dai, Manoj Pandey, Rajan Vaish, Michael Bernstein

Comments 2 pages (with 2 pages references, 2 pages Appx), HCOMP 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org)

EmojiNet: An Open Service and API for Emoji Sense Discovery

Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran

Comments This paper was published at ICWSM 2017 as a full paper, Proc. of the 11th International AAAI Conference on Web and Social Media (ICWSM 2017). Montreal, Canada. 2017

Accelerated Variance Reduced Stochastic ADMM

Yuanyuan Liu, Fanhua Shang, James Cheng

Comments 16 pages, 5 figures, Appears in Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, pp. 2287--2293, 2017

POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing

Carlos Sarraute, Olivier Buffet, Joerg Hoffmann

Comments Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), Toronto, Canada

Journal ref Proceedings of AAAI Conference on Artificial Intelligence, pp 1816-1824, Toronto, Ontario, Canada (2012)

Learning Deep Latent Spaces for Multi-Label Classification

Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang

Comments published in AAAI-2017

Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation

Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan

Comments AAAI Workshops 2017

SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions

Han Xiao, Minlie Huang, Xiaoyan Zhu

Comments Submitted to AAAI.2017

Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation

Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

Comments AAAI 2017

Dynamics of Content Quality in Collaborative Knowledge Production

Emilio Ferrara, Nazanin Alipourfard, Keith Burghardt, Chiranth Gopal, Kristina Lerman

Journal ref Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017), pp. 520-523, 2017

Types of Cognition and its Implications for future High-Level Cognitive Machines

Camilo Miguel Signorelli

Comments 2017 AAAI Spring Symposium Series, Science of Intelligence: Computational Principles of Natural and Artificial Intelligence

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Shuai Xiao, Junchi Yan, Stephen M. Chu, Xiaokang Yang, Hongyuan Zha

Comments Accepted at Thirty-First AAAI Conference on Artificial Intelligence (AAAI17)

Analysing Timelines of National Histories across Wikipedia Editions: A Comparative Computational Approach

Anna Samoilenko, Florian Lemmerich, Katrin Weller, Maria Zens, Markus Strohmaier

Journal ref Proceedings of the Eleventh International AAAI Conference on Web an Social Media (ICWSM 2017 in Montreal, Canada)

Understanding Musical Diversity via Online Social Media

Minsu Park, Ingmar Weber, Mor Naaman, Sarah Vieweg

Comments 10 pages, 1 figure, 2 tables, Accepted to the 10th International AAAI Conference on Web and Social Media, ICWSM'16

Journal ref 9th International AAAI Conference on Web and Social Media (ICWSM 2015)

A Data-driven Study of View Duration on YouTube

Minsu Park, Mor Naaman, Jonah Berger

Comments 4 pages, 2 tables, Accepted to the 10th International AAAI Conference on Web and Social Media, ICWSM'16

Journal ref 10th International AAAI Conference on Web and Social Media (ICWSM 2016)

Word Embedding based Correlation Model for Question/Answer Matching

Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong

Comments 8 pages, 2 figures

Journal ref AAAI (2017) 3511--3517