1.2k citations · 7.6k across the 154 of their papers we have counts for
5 papers · 1 filter
Dual Supervised Learning
Yingce Xia, Tao Qin, Wei Chen +3
Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image cl…
Question Answering and Question Generation as Dual Tasks
Duyu Tang, Nan Duan, Tao Qin +2
We study the problem of joint question answering (QA) and question generation (QG) in this paper. Our intuition is that QA and QG have intrinsic connections and these two tasks cou…
Reinforcement Learning for Learning Rate Control
Chang Xu, Tao Qin, Gang Wang +1
Stochastic gradient descent (SGD), which updates the model parameters by adding a local gradient times a learning rate at each step, is widely used in model training of machine lea…
Adversarial Neural Machine Translation
Lijun Wu, Yingce Xia, Li Zhao +4
In this paper, we study a new learning paradigm for Neural Machine Translation (NMT). Instead of maximizing the likelihood of the human translation as in previous works, we minimiz…
Learning What Data to Learn
Yang Fan, Fei Tian, Tao Qin +2
Machine learning is essentially the sciences of playing with data. An adaptive data selection strategy, enabling to dynamically choose different data at various training stages, ca…