85 citations · 198 across the 6 of their papers we have counts for
6 papers
Towards Instance-adaptive Inference for Federated Learning
Chun-Mei Feng, Kai Yu, Nian Liu +3
Federated learning (FL) is a distributed learning paradigm that enables multiple clients to learn a powerful global model by aggregating local training. However, the performance of…
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Xingyu Miao, Yang Bai, Haoran Duan +5
Self-supervised monocular depth estimation methods typically rely on the reprojection error to capture geometric relationships between successive frames in static environments. How…
Laplacian-Steered Neural Style Transfer
Shaohua Li, Xinxing Xu, Liqiang Nie +1
Neural Style Transfer based on Convolutional Neural Networks (CNN) aims to synthesize a new image that retains the high-level structure of a content image, rendered in the low-leve…
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan, Xinxing Xu, Yong Liu
Recurrent neural networks (RNNs) were recently proposed for the session-based recommendation task. The models showed promising improvements over traditional recommendation approach…
Transfer Hashing with Privileged Information
Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan +3
Most existing learning to hash methods assume that there are sufficient data, either labeled or unlabeled, on the domain of interest (i.e., the target domain) for training. However…
Simple and Efficient Learning using Privileged Information
Xinxing Xu, Joey Tianyi Zhou, IvorW. Tsang +3
The Support Vector Machine using Privileged Information (SVM+) has been proposed to train a classifier to utilize the additional privileged information that is only available in th…