Papers
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
Zelei Liu, Han Yu, Leye Wang et al.
Jointly Multiple Hash Learning
Xingbo Liu, Xiushan Nie, Yingxin Wang et al.
Deep Reinforcement Learning via Past-Success Directed Exploration
Xiaoming Liu, Zhixiong Xu, Lei Cao et al.
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
Shengchao Liu, Yingyu Liang, Anthony Gitter
Location-Based End-to-End Speech Recognition with Multiple Language Models
Zhijie Lin, Kaiyang Lin, Shiling Chen et al.
Teaching Machines to Extract Main Content for Machine Reading Comprehension
Zhaohui Li, Yue Feng, Jun Xu et al.
Meta-Path Augmented Response Generation
Yanran Li, Wenjie Li
A Fuzzy Set Based Approach for Rating Bias
Mingming Li, Jiao Dai, Fuqing Zhu et al.
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
Lingge Li, Nitish Nayak, Jianming Bian et al.
Cross-Domain Recommendation via Coupled Factorization Machines
Lile Li, Quan Do, Wei Liu
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM
Haoran Li, Hua Xu
Comparing Sample-Wise Learnability across Deep Neural Network Models
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung et al.
SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart
In-Seok Lee, Jun-Geol Baek
Learning Options with Interest Functions
Khimya Khetarpal, Doina Precup
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles
Kherroubi Zine el Abidine, Aknine Samir, Bacha Rebiha
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
Raghav Kapoor, Yaman Kumar, Kshitij Rajput et al.
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System
Younkook Kang, Sungwon Lyu, Jeeyung Kim et al.
AVS-Net: Automatic Visual Surveillance Using Relation Network
Sein Jang, Young-Ho Park, Aziz Nasridinov
Higher-Order Multi-Layer Community Detection
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks
Zijian Hu, Fuli Luo, Yutong Tan et al.
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Mononito Goswami, Shiven Mian, Jack Mostow
Reinforcement Learning under Threats
Victor Gallego, Roi Naveiro, David Rios Insua
A Meta-Learning Approach for Custom Model Training
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen et al.
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset
Wenyu Du, Baocheng Li, Min Yang et al.