Min Lin

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National University of Singapore

Continual Learning from the Perspective of Compression

Connectionist models such as neural networks suffer from catastrophic fo...
06/26/2020 ∙ by Xu He, et al. ∙ 0 ∙ share

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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

Learning from non-stationary data remains a great challenge for machine ...
03/12/2020 ∙ by Massimo Caccia, et al. ∙ 26 ∙ share

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On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone

This paper investigates the physical-layer security for a random indoor ...
10/13/2019 ∙ by Jin-Yuan Wang, et al. ∙ 0 ∙ share

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On the Secrecy Rate of Spatial Modulation Based Indoor Visible Light Communications

In this paper, we investigate the physical-layer security for a spatial ...
06/22/2019 ∙ by Jin-Yuan Wang, et al. ∙ 0 ∙ share

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Conditional Computation for Continual Learning

Catastrophic forgetting of connectionist neural networks is caused by th...
06/16/2019 ∙ by Min Lin, et al. ∙ 2 ∙ share

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Online continual learning with no task boundaries

Continual learning is the ability of an agent to learn online with a non...
03/20/2019 ∙ by Rahaf Aljundi, et al. ∙ 10 ∙ share

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Bandit Inspired Beam Searching Scheme for mmWave High-Speed Train Communications

High-speed trains (HSTs) are being widely deployed around the world. To ...
10/15/2018 ∙ by Jun-Bo Wang, et al. ∙ 0 ∙ share

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Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications

Channel estimation is essential for precoding/combining in millimeter wa...
08/29/2018 ∙ by Xiaohuan Wu, et al. ∙ 0 ∙ share

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Adaptive Spatial Modulation for Visible Light Communications with an Arbitrary Number of Transmitters

As a power and bandwidth efficient modulation scheme, the optical spatia...
07/26/2018 ∙ by Jin-Yuan Wang, et al. ∙ 0 ∙ share

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Physical-layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis

This paper investigates the physical-layer security for an indoor visibl...
07/26/2018 ∙ by Jin-Yuan Wang, et al. ∙ 0 ∙ share

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On the Spectral Bias of Deep Neural Networks

It is well known that over-parametrized deep neural networks (DNNs) are ...
06/22/2018 ∙ by Nasim Rahaman, et al. ∙ 0 ∙ share

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A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing

Conventionally, the resource allocation is formulated as an optimization...
12/16/2017 ∙ by Jun-Bo Wang, et al. ∙ 0 ∙ share

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Softmax GAN

Softmax GAN is a novel variant of Generative Adversarial Network (GAN). ...
04/20/2017 ∙ by Min Lin, et al. ∙ 0 ∙ share

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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

MXNet is a multi-language machine learning (ML) library to ease the deve...
12/03/2015 ∙ by Tianqi Chen, et al. ∙ 0 ∙ share

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Correntropy Induced L2 Graph for Robust Subspace Clustering

In this paper, we study the robust subspace clustering problem, which ai...
01/18/2015 ∙ by Canyi Lu, et al. ∙ 0 ∙ share

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Purine: A bi-graph based deep learning framework

In this paper, we introduce a novel deep learning framework, termed Puri...
12/19/2014 ∙ by Min Lin, et al. ∙ 0 ∙ share

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Network In Network

We propose a novel deep network structure called "Network In Network" (N...
12/16/2013 ∙ by Min Lin, et al. ∙ 0 ∙ share

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Min Lin

Featured Co-authors

Yoshua Bengio

Liang Lin

Mohamed-Slim Alouini

Shuicheng Yan

Aaron Courville

Zheng Zhang

Zhouchen Lin

Yongpeng Wu

Jie Fu

Mu Li

Jinhui Tang

Continual Learning from the Perspective of Compression

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone

On the Secrecy Rate of Spatial Modulation Based Indoor Visible Light Communications

Conditional Computation for Continual Learning

Online continual learning with no task boundaries

Bandit Inspired Beam Searching Scheme for mmWave High-Speed Train Communications

Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications

Adaptive Spatial Modulation for Visible Light Communications with an Arbitrary Number of Transmitters

Physical-layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis

On the Spectral Bias of Deep Neural Networks

A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing

Softmax GAN

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Correntropy Induced L2 Graph for Robust Subspace Clustering

Purine: A bi-graph based deep learning framework

Network In Network