14 citations · 25 across the 8 of their papers we have counts for
5 papers · 1 filter
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine
Dongdong Chen, Jiancheng Lv, Mike E. Davies
We investigate the potential of a restricted Boltzmann Machine (RBM) for discriminative representation learning. By imposing the class information preservation constraints on the h…
Automatically designing CNN architectures using genetic algorithm for image classification
Yanan Sun, Bing Xue, Mengjie Zhang +1
Convolutional Neural Networks (CNNs) have gained a remarkable success on many image classification tasks in recent years. However, the performance of CNNs highly relies upon their…
Ancient-Modern Chinese Translation with a Large Training Dataset
Dayiheng Liu, Jiancheng Lv, Kexin Yang +1
Ancient Chinese brings the wisdom and spirit culture of the Chinese nation. Automatic translation from ancient Chinese to modern Chinese helps to inherit and carry forward the quin…
A Multi-Modal Chinese Poetry Generation Model
Dayiheng Liu, Quan Guo, Wubo Li +1
Recent studies in sequence-to-sequence learning demonstrate that RNN encoder-decoder structure can successfully generate Chinese poetry. However, existing methods can only generate…
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation
Dayiheng Liu, Jie Fu, Qian Qu +1
Incorporating prior knowledge like lexical constraints into the model's output to generate meaningful and coherent sentences has many applications in dialogue system, machine trans…