AAAI

Meta Multi-Task Learning for Sequence Modeling

Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang

Comments published in The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018

DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization

Tianxiang Gao, Chris Chu

Comments Accepted by AAAI 2018

Training L1-Regularized Models with Orthant-Wise Passive Descent Algorithms

Jianqiao Wangni

Comments Accepted to The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). Feb 2018, New Orleans

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework

Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin

Comments 6 figures, AAAI Conference on Artificial Intelligence, 2018

Dropout Model Evaluation in MOOCs

Josh Gardner, Christopher Brooks

Journal ref Eighth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), 2018

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence

Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin

Comments 8 pages

Journal ref AAAI-2018

Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier

Mengtian Li, Laszlo Jeni, Deva Ramanan

Comments In AAAI 2018, code can be find at https://github.com/mtli/BFFL

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

Kaiyang Zhou, Yu Qiao, Tao Xiang

Comments AAAI 2018

Weakly supervised collective feature learning from curated media

Yusuke Mukuta, Akisato Kimura, David B Adrian, Zoubin Ghahramani

Comments Published in the Proceedings of AAAI Conferenrence on Artificial Intelligence (AAAI2018)

A Unified Implicit Dialog Framework for Conversational Search

Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos

Comments Appeared as a demo in AAAI-2018

A Personalized Method for Calorie Consumption Assessment

Yunshi Liu, Pujana Paliyawan, Takahiro Kusano, Tomohiro Harada, Ruck Thawonmas

Comments The AAAI 2018 Spring Symposium on Beyond Machine Intelligence: Understanding Cognitive Bias and Humanity for Well-Being, March 26-28, 2018, Stanford University, Palo Alto, California USA

Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation

Sandeep Konam, Ian Quah, Stephanie Rosenthal, Manuela Veloso

Comments AAAI/ACM Conference on AI, Ethics, and Society

Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification

Zilong Zhong, Jonathan Li

Comments Accepted by AAAI-18

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

Comments To be published at AAAI 2018

Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning

Di Wang, Jinhui Xu

Comments Appear in AAAI-18

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

Yun Chen, Yang Liu, Victor O. K. Li

Comments Published at AAAI-18

Efficient Large-Scale Multi-Modal Classification

D. Kiela, E. Grave, A. Joulin, T. Mikolov

Comments Published at AAAI-18, 7 pages

Generating Triples with Adversarial Networks for Scene Graph Construction

Matthew Klawonn, Eric Heim

Comments Accepted to AAAI 2018

Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network

Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla Gomes

Comments AAAI 2018

Visualizations for an Explainable Planning Agent

Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy

Comments PREVIOUSLY Mr. Jones -- Towards a Proactive Smart Room Orchestrator (appeared in AAAI 2017 Fall Symposium on Human-Agent Groups)

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher

Comments Presented at AAAI 2018

Task-Aware Compressed Sensing with Generative Adversarial Networks

Maya Kabkab, Pouya Samangouei, Rama Chellappa

Comments Accepted for publication at the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

DeepType: Multilingual Entity Linking by Neural Type System Evolution

Jonathan Raiman, Olivier Raiman

Comments Presented at AAAI 2018

Memory Fusion Network for Multi-view Sequential Learning

Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency

Comments AAAI 2018 Oral Presentation

Multi-attention Recurrent Network for Human Communication Comprehension

Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency

Comments AAAI 2018 Oral Presentation

Asynchronous Bidirectional Decoding for Neural Machine Translation

Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang

Comments accepted by AAAI 18

Scene-centric Joint Parsing of Cross-view Videos

Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu

Comments Accepted by AAAI 2018

Extreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning

Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang

Comments AAAI 2018

No Modes left behind: Capturing the data distribution effectively using GANs

Shashank Sharma, Vinay P. Namboodiri

Comments accepted to AAAI 2018 conference

A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video

Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim

Comments In AAAI 2018, 9 pages