597 citations · 2.3k across the 106 of their papers we have counts for
4 papers · 1 filter
Dual Learning for Machine Translation
Yingce Xia, Di He, Tao Qin +4
While neural machine translation (NMT) is making good progress in the past two years, tens of millions of bilingual sentence pairs are needed for its training. However, human label…
SOL: A Library for Scalable Online Learning Algorithms
Yue Wu, Steven C. H. Hoi, Chenghao Liu +3
SOL is an open-source library for scalable online learning algorithms, and is particularly suitable for learning with high-dimensional data. The library provides a family of regula…
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng, Qi Meng, Taifeng Wang +4
With the fast development of deep learning, it has become common to learn big neural networks using massive training data. Asynchronous Stochastic Gradient Descent (ASGD) is widely…
Graph Construction with Label Information for Semi-Supervised Learning
Liansheng Zhuang, Zihan Zhou, Jingwen Yin +4
In the literature, most existing graph-based semi-supervised learning (SSL) methods only use the label information of observed samples in the label propagation stage, while ignorin…