528 citations · 783 across the 27 of their papers we have counts for
10 papers · 1 filter
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang, Kun Kuang, Jiezhong Qiu +5
Graph is a flexible and effective tool to represent complex structures in practice and graph neural networks (GNNs) have been shown to be effective on various graph tasks with rand…
Graph-Free Knowledge Distillation for Graph Neural Networks
Xiang Deng, Zhongfei Zhang
Knowledge distillation (KD) transfers knowledge from a teacher network to a student by enforcing the student to mimic the outputs of the pretrained teacher on training data. Howeve…
Learning with Retrospection
Xiang Deng, Zhongfei Zhang
Deep neural networks have been successfully deployed in various domains of artificial intelligence, including computer vision and natural language processing. We observe that the c…
Locally Linear Region Knowledge Distillation
Xiang Deng, Zhongfei, Zhang
Knowledge distillation (KD) is an effective technique to transfer knowledge from one neural network (teacher) to another (student), thus improving the performance of the student. T…
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks
Xiang Deng, Zhongfei, Zhang
It is well observed that in deep learning and computer vision literature, visual data are always represented in a manually designed coding scheme (eg., RGB images are represented a…
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
Xiang Deng, Zhongfei Zhang
Substantial efforts have been made on improving the generalization abilities of deep neural networks (DNNs) in order to obtain better performances without introducing more paramete…
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
Tao Jin, Siyu Huang, Yingming Li +1
This paper addresses the challenging task of video captioning which aims to generate descriptions for video data. Recently, the attention-based encoder-decoder structures have been…
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…
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…
A Survey of Multi-View Representation Learning
Yingming Li, Ming Yang, Zhongfei Zhang
Recently, multi-view representation learning has become a rapidly growing direction in machine learning and data mining areas. This paper introduces two categories for multi-view r…