249 citations · 625 across the 53 of their papers we have counts for
6 papers · 1 filter
Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings
Nana Li, Shuangfei Zhai, Zhongfei Zhang +1
Structural correspondence learning (SCL) is an effective method for cross-lingual sentiment classification. This approach uses unlabeled documents along with a word translation ora…
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3
Multi-task learning aims to improve generalization performance of multiple prediction tasks by appropriately sharing relevant information across them. In the context of deep neural…
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai, Hui Wu, Abhishek Kumar +4
Feature pooling layers (e.g., max pooling) in convolutional neural networks (CNNs) serve the dual purpose of providing increasingly abstract representations as well as yielding com…
Generative Adversarial Networks as Variational Training of Energy Based Models
Shuangfei Zhai, Yu Cheng, Rogerio Feris +1
In this paper, we study deep generative models for effective unsupervised learning. We propose VGAN, which works by minimizing a variational lower bound of the negative log likelih…
Doubly Convolutional Neural Networks
Shuangfei Zhai, Yu Cheng, Weining Lu +1
Building large models with parameter sharing accounts for most of the success of deep convolutional neural networks (CNNs). In this paper, we propose doubly convolutional neural ne…
Deep Structured Energy Based Models for Anomaly Detection
Shuangfei Zhai, Yu Cheng, Weining Lu +1
In this paper, we attack the anomaly detection problem by directly modeling the data distribution with deep architectures. We propose deep structured energy based models (DSEBMs),…