Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Min Lin

Min Lin

Continual Learning from the Perspective of Compression


Jun 26, 2020
Xu He, Min Lin

Figure 1 for Continual Learning from the Perspective of Compression
Figure 2 for Continual Learning from the Perspective of Compression
Figure 3 for Continual Learning from the Perspective of Compression
Figure 4 for Continual Learning from the Perspective of Compression
* 4th Lifelong Learning Workshop at ICML 2020 
  Access Paper or Ask Questions

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


Mar 12, 2020
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam Laradji, Irina Rish, Alexande Lacoste, David Vazquez, Laurent Charlin

Figure 1 for Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Figure 2 for Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Figure 3 for Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Figure 4 for Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

  Access Paper or Ask Questions

Online Continual Learning with Maximally Interfered Retrieval


Aug 23, 2019
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars

Figure 1 for Online Continual Learning with Maximally Interfered Retrieval
Figure 2 for Online Continual Learning with Maximally Interfered Retrieval
Figure 3 for Online Continual Learning with Maximally Interfered Retrieval
Figure 4 for Online Continual Learning with Maximally Interfered Retrieval

  Access Paper or Ask Questions

Conditional Computation for Continual Learning


Jun 16, 2019
Min Lin, Jie Fu, Yoshua Bengio

Figure 1 for Conditional Computation for Continual Learning
Figure 2 for Conditional Computation for Continual Learning
Figure 3 for Conditional Computation for Continual Learning
Figure 4 for Conditional Computation for Continual Learning
* NeurIPS 2018 Continual Learning Workshop 
  Access Paper or Ask Questions

Online continual learning with no task boundaries


Mar 22, 2019
Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio

Figure 1 for Online continual learning with no task boundaries
Figure 2 for Online continual learning with no task boundaries
Figure 3 for Online continual learning with no task boundaries
Figure 4 for Online continual learning with no task boundaries

  Access Paper or Ask Questions

On the Spectral Bias of Neural Networks


Oct 17, 2018
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron Courville

Figure 1 for On the Spectral Bias of Neural Networks
Figure 2 for On the Spectral Bias of Neural Networks
Figure 3 for On the Spectral Bias of Neural Networks
Figure 4 for On the Spectral Bias of Neural Networks

  Access Paper or Ask Questions

A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing


Dec 16, 2017
Jun-Bo Wang, Junyuan Wang, Yongpeng Wu, Jin-Yuan Wang, Huiling Zhu, Min Lin, Jiangzhou Wang

Figure 1 for A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing
Figure 2 for A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing
Figure 3 for A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing
Figure 4 for A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing
* 19 pages with 6 figures, accepted by IEEE Network Magazine 
  Access Paper or Ask Questions

Softmax GAN


Apr 20, 2017
Min Lin

Figure 1 for Softmax GAN
Figure 2 for Softmax GAN
Figure 3 for Softmax GAN
Figure 4 for Softmax GAN
* NIPS 2017 submission 
  Access Paper or Ask Questions

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


Dec 03, 2015
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang

Figure 1 for MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Figure 2 for MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Figure 3 for MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Figure 4 for MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
* In Neural Information Processing Systems, Workshop on Machine Learning Systems, 2016 
  Access Paper or Ask Questions

Purine: A bi-graph based deep learning framework


Apr 16, 2015
Min Lin, Shuo Li, Xuan Luo, Shuicheng Yan

Figure 1 for Purine: A bi-graph based deep learning framework
Figure 2 for Purine: A bi-graph based deep learning framework
Figure 3 for Purine: A bi-graph based deep learning framework
Figure 4 for Purine: A bi-graph based deep learning framework
* Submitted to ICLR 2015 workshop 
  Access Paper or Ask Questions

Correntropy Induced L2 Graph for Robust Subspace Clustering


Jan 18, 2015
Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin

Figure 1 for Correntropy Induced L2 Graph for Robust Subspace Clustering
Figure 2 for Correntropy Induced L2 Graph for Robust Subspace Clustering
Figure 3 for Correntropy Induced L2 Graph for Robust Subspace Clustering
Figure 4 for Correntropy Induced L2 Graph for Robust Subspace Clustering
* International Conference on Computer Vision (ICCV), 2013 
  Access Paper or Ask Questions

Network In Network


Mar 04, 2014
Min Lin, Qiang Chen, Shuicheng Yan

Figure 1 for Network In Network
Figure 2 for Network In Network
Figure 3 for Network In Network
Figure 4 for Network In Network
* 10 pages, 4 figures, for iclr2014 
  Access Paper or Ask Questions