AAAI

Adaptive Graph Convolutional Neural Networks

Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang

Comments The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 8 pages

Path-Based Attention Neural Model for Fine-Grained Entity Typing

Denghui Zhang, Pengshan Cai, Yantao Jia, Manling Li, Yuanzhuo Wang, Xueqi Cheng

Comments AAAI 2018

Gated-Attention Architectures for Task-Oriented Language Grounding

Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov

Comments To appear in AAAI-18

Knowledge-based Word Sense Disambiguation using Topic Models

Devendra Singh Chaplot, Ruslan Salakhutdinov

Comments To appear in AAAI-18

Cross-domain Human Parsing via Adversarial Feature and Label Adaptation

Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han

Comments Accepted by AAAI 2018

Learning Feature Representations for Keyphrase Extraction

Corina Florescu, Wei Jin

Comments To appear in AAAI 2018 Student Abstract and Poster Program

Nonparametric Stochastic Contextual Bandits

Melody Y. Guan, Heinrich Jiang

Comments AAAI 2018

A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data

Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan

Comments 8 Pages, accepted at AAAI 2018

Accelerated Training for Massive Classification via Dynamic Class Selection

Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin

Comments 8 pages, 6 figures, AAAI 2018

PixelLink: Detecting Scene Text via Instance Segmentation

Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai

Comments AAAI-2018

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

Haoshu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu

Comments Accepted by AAAI 2018

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models

Aditya Grover, Manik Dhar, Stefano Ermon

Comments AAAI 2018

Who Said What: Modeling Individual Labelers Improves Classification

Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton

Comments AAAI 2018

Learning Multimodal Word Representation via Dynamic Fusion Methods

Shaonan Wang, Jiajun Zhang, Chengqing Zong

Comments To be appear in AAAI-18

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization

Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

Comments AAAI 2018

Robust Loss Functions under Label Noise for Deep Neural Networks

Aritra Ghosh, Himanshu Kumar, P. S. Sastry

Comments Appeared in AAAI 2017

Event Organization 101: Understanding Latent Factors of Event Popularity

Shuo Zhang, Qin Lv

Comments International AAAI Conference on Web and Social Media (ICWSM) 2017 ICWSM/ICWSM17/paper/view/15571" target="_blank" rel="noopener">https://www.aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15571

Journal ref International AAAI Conference on Web and Social Media (ICWSM) 2017

A model for interpreting social interactions in local image regions

Guy Ben-Yosef, Alon Yachin, Shimon Ullman

Comments In AAAI spring symposium on Science of Intelligence: Computational Principles of Natural and Artificial Intelligence, Palo Alto, 2017

Actionable Email Intent Modeling with Reparametrized RNNs

Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel

Comments AAAI 2018

SAGA: A Submodular Greedy Algorithm For Group Recommendation

Shameem A Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla

Comments AAAI 2018

Learning Interpretable Spatial Operations in a Rich 3D Blocks World

Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu

Comments AAAI 2018

Deep learning from crowds

Filipe Rodrigues, Francisco Pereira

Comments 10 pages, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018

SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction

Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

Comments Accepted at AAAI 2018

Fair Forests: Regularized Tree Induction to Minimize Model Bias

Edward Raff, Jared Sylvester, Steven Mills

Comments To appear in the first AAAI / ACM conference on Artificial Intelligence, Ethics, and Society (AIES) 2018

Slim Embedding Layers for Recurrent Neural Language Models

Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu

Comments To appear at AAAI 2018

Action Schema Networks: Generalised Policies with Deep Learning

Sam Toyer, Felipe Trevizan, Sylvie Thiébaux, Lexing Xie

Comments Accepted to AAAI 2018

Boosted Generative Models

Aditya Grover, Stefano Ermon

Comments AAAI 2018

Region-based Quality Estimation Network for Large-scale Person Re-identification

Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai

Comments Accepted by AAAI 2018

Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks

Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

Comments Accepted at AAAI 2018

Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition

Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin

Comments Accepted at AAAI 2018