Papers
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
Zhizhong Han, Mingyang Shang, Xiyang Wang et al.
Cooperative Multimodal Approach to Depression Detection in Twitter
Tao Gui, Liang Zhu, Qi Zhang et al.
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content
Xiaolong Gong, Linpeng Huang, Fuwei Wang
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
Wenjing Fu, Zhaohui Peng, Senzhang Wang et al.
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement
Zi-Yi Dou, Zhaopeng Tu, Xing Wang et al.
Triple Classification Using Regions and Fine-Grained Entity Typing
Tiansi Dong, Zhigang Wang, Juanzi Li et al.
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han et al.
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang et al.
Dynamic Explainable Recommendation Based on Neural Attentive Models
Xu Chen, Yongfeng Zhang, Zheng Qin
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks
Long Chen, Ziyu Guan, Wei Zhao et al.
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer
Jin Chen, Defu Lian, Kai Zheng
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks et al.
Comparative Document Summarisation via Classification
Umanga Bista, Alexander Mathews, Minjeong Shin et al.
Outlier Aware Network Embedding for Attributed Networks
Sambaran Bandyopadhyay, N. Lokesh, M. N. Murty
Incorporating Behavioral Constraints in Online AI Systems
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei et al.
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations
M. Asif Rana, Anqi Li, Harish Ravichandar et al.
Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang et al.
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight
Valts Blukis, Yannick Terme, Eyvind Niklasson et al.
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
Weiming Zhi, Lionel Ott, Fabio Ramos
Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors
Yazhan Zhang, Weihao Yuan, Zicheng Kan et al.
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
Ching-An Cheng, Xinyan Yan, Byron Boots
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Christopher Xie, Yu Xiang, Arsalan Mousavian et al.
PyRoboLearn: A Python Framework for Robot Learning Practitioners
Brian Delhaisse, Leonel Rozo, Darwin G. Caldwell
Asynchronous Methods for Model-Based Reinforcement Learning
Yunzhi Zhang, Ignasi Clavera, Boren Tsai et al.