AAAI

Learning Graph-Level Representations with Recurrent Neural Networks

Yu Jin, Joseph F. JaJa

Comments Submit to AAAI 2019

Learning Scripts as Hidden Markov Models

J. Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Fern, Thomas G. Dietterich

Comments 7 pages, AAAI 2014

A Correlation Maximization Approach for Cross Domain Co-Embeddings

Dan Shiebler

Comments Submitted to AAAI 2019

Assessing and Addressing Algorithmic Bias - But Before We Get There

Jean Garcia-Gathright, Aaron Springer, Henriette Cramer

Comments The version submitted here for FATREC 2018 is a condensed version of our publication which originally appeared in the 2018 AAAI Spring Symposium Series under the "Design of the User Experience for Artificial Intelligence" track. The original publication can be found here: https://www.aaai.org/ocs/index.php/SSS/SSS18/paper/view/17542/15470

A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents

Yueh-Hua Wu, Shou-De Lin

Comments AAAI 2018 Oral Presentation

Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data

Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George Mohler

Comments Submitted and pending notification from AAAI

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization

Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

Comments AAAI 2018

Multi-Adversarial Domain Adaptation

Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang

Comments AAAI 2018 Oral. arXiv admin note: substantial text overlap with arXiv:1705.10667, arXiv:1707.07901

A Memory-Network Based Solution for Multivariate Time-Series Forecasting

Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin

Comments 8 pages, 4 figures, submitted to AAAI 2019. arXiv admin note: text overlap with arXiv:1703.07015 by other authors

Weighted Abstract Dialectical Frameworks: Extended and Revised Report

Gerhard Brewka, Jörg Pührer, Hannes Strass, Johannes P. Wallner, Stefan Woltran

Comments This is an extended and corrected version of the paper Weighted Abstract Dialectical Frameworks published in the Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018)

Improbotics: Exploring the Imitation Game using Machine Intelligence in Improvised Theatre

Kory W. Mathewson, Piotr Mirowski

Comments 8 pages, 6 figures, AAAI Publications, 2018 Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE)

Towards Distributed Coevolutionary GANs

Abdullah Al-Dujaili, Tom Schmiedlechner, and Erik Hemberg, Una-May O'Reilly

Comments Accepted at AAAI 2018 Fall Symposium Series

Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion

Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo

Comments In AAAI 2018

Automatic Generation of Text Descriptive Comments for Code Blocks

Yuding Liang, Kenny Q. Zhu

Comments aaai 2018

Capturing Ambiguity in Crowdsourcing Frame Disambiguation

Anca Dumitrache, Lora Aroyo, Chris Welty

Comments in publication at the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2018

Probabilistic Ensemble of Collaborative Filters

Zhiyu Min, Dahua Lin

Comments 8 pages. In Proceedings of AAAI-2018

A Batch Learning Framework for Scalable Personalized Ranking

Kuan Liu, Prem Natarajan

Comments AAAI 2018, Feb 2-7, New Orleans, USA

Journal ref AAAI Conference on Artificial Intelligence 2018; Thirty-Second AAAI Conference on Artificial Intelligence

Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series

Lu Liu, Zhiguang Wang

Comments AAAI 2018 workshop

VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling

Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang

Comments Published by The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

Acyclic Games and Iterative Voting

Reshef Meir, Maria Polukarov, Jeffrey S. Rosenschein, Nicholas R. Jennings

Comments some of the results appeared in preliminary versions of this paper: Convergence to Equilibrium of Plurality Voting, Meir et al., AAAI 2010; Strong and Weak Acyclicity in Iterative Voting, Meir, COMSOC 2016

Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis

Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen

Comments AAAI 2017

Top-Down Feedback for Crowd Counting Convolutional Neural Network

Deepak Babu Sam, R. Venkatesh Babu

Comments AAAI 2018

Hierarchical Classification using Binary Data

Denali Molitor, Deanna Needell

Comments AAAI Magazine special Issue on Deep Models, Machine Learning and Artificial Intelligence Applications in National and International Security, June, 2018

Attend and Diagnose: Clinical Time Series Analysis using Attention Models

Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias

Comments AAAI 2018

Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates

Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran

Journal ref Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018

Detecting Socio-Economic Impact of Cultural Investment Through Geo-Social Network Analysis

Xiao Zhou, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo

Comments 5 pages, 4 figures. The 11th International AAAI Conference on Web and Social Media (ICWSM-17)

WhatsApp, Doc? A First Look at WhatsApp Public Group Data

Kiran Garimella, Gareth Tyson

Comments Accepted as a dataset paper at the 12th International AAAI Conference on Web and Social Media (ICWSM 2018). Please cite the ICWSM version

Deep Multiple Instance Feature Learning via Variational Autoencoder

Shabnam Ghaffarzadegan

Comments AAAI 2018

Sequential Copying Networks

Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou

Comments In AAAI 2018

Detecting the Hate Code on Social Media

Rijul Magu, Kshitij Joshi, Jiebo Luo

Journal ref Eleventh International AAAI Conference on Weblogs and Social Media., 2017, 608-612