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20122024
most citedGeneralizing from a Few Examples: A Survey on Few-Shot Learning

791 citations · 1.5k across the 57 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.LG2018★ 2 cited

FasTer: Fast Tensor Completion with Nonconvex Regularization

Quanming Yao, James T Kwok, Bo Han

Low-rank tensor completion problem aims to recover a tensor from limited observations, which has many real-world applications. Due to the easy optimization, the convex overlapping…

cs.LG2018

Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data

Shuai Zheng, James T. Kwok

Variance reduction has been commonly used in stochastic optimization. It relies crucially on the assumption that the data set is finite. However, when the data are imputed with ran…

cs.LG2018★ 2 cited

Power Law in Sparsified Deep Neural Networks

Lu Hou, James T. Kwok

The power law has been observed in the degree distributions of many biological neural networks. Sparse deep neural networks, which learn an economical representation from the data,…

cs.CV2018★ 2 cited

Online Convolutional Sparse Coding with Sample-Dependent Dictionary

Yaqing Wang, Quanming Yao, James T. Kwok +1

Convolutional sparse coding (CSC) has been popularly used for the learning of shift-invariant dictionaries in image and signal processing. However, existing methods have limited sc…

cs.LG2018★ 91 cited

Loss-aware Weight Quantization of Deep Networks

Lu Hou, James T. Kwok

The huge size of deep networks hinders their use in small computing devices. In this paper, we consider compressing the network by weight quantization. We extend a recently propose…

cs.IR2018★ 6 cited

Side Information Fusion for Recommender Systems over Heterogeneous Information Network

Huan Zhao, Quanming Yao, Yangqiu Song +2

Collaborative filtering (CF) has been one of the most important and popular recommendation methods, which aims at predicting users' preferences (ratings) based on their past behavi…