Concepedia

Sparse Reparameterization

Sparse Reparameterization is a model reparameterization technique that belongs to the class of structural sparsification methods, distinguished by its explicit transformation of model parameters into a sparse format during training to enhance computational efficiency without sacrificing representational capacity.

20

Publications

2.5K

Citations

55

Authors

35

Institutions

Publications per year

2017–2026

15

Parents

Publications

20

A Simple, Fast, and Effective Reparameterization of IBM Model 2

Chris Dyer, Victor Chahuneau, Noah A. Smith · Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) · 2018 · 839 citations

, , +13

<i>SparseNet</i>: Coordinate Descent With Nonconvex Penalties

Rahul Mazumder, Jerome H. Friedman, Trevor Hastie · Journal of the American Statistical Association · 2011 · 478 citations

, , +17

Covariance Estimation: The GLM and Regularization Perspectives

Statistical Science · 2011 · 180 citations · Full text

, , +16

Covariance Estimation: The GLM and Regularization Perspectives

2011 · 153 citations

, , +16

Holistically-Attracted Wireframe Parsing

Nan Xue, Tianfu Wu, Song Bai et al. · 2020 · 136 citations

, , +12

1–5 of 20

Authors

55

  1. RS
    Raghav Somani

    University of Washington, United States

    2 publications · 105 citations

    2

    h-index

  2. MW
    Mitchell Wortsman

    University of Washington, United States

    2 publications · 105 citations

    2

    h-index

  3. XW
    Xin Wang

    Berkeley College, United States

    2 publications · 179 citations

    2

    h-index

  4. SM
    Sham M. Kakade

    Microsoft (United States), United States

    2 publications · 105 citations

    2

    h-index

  5. VR
    Vivek Ramanujan

    University of Washington, United States

    2 publications · 105 citations

    2

    h-index

1–5 of 55

Institutions

35

  1. University of Washington

    Seattle, United States

    2 h-index

    11 publications

    607 citations

  2. Allen Institute for Artificial Intelligence

    Seattle, United States

    2 h-index

    2 publications

    105 citations

  3. Allen Institute

    Seattle, United States

    2 h-index

    2 publications

    105 citations

  4. Ithaca College

    Ithaca, United States

    1 h-index

    1 publications

    23 citations

  5. University of California San Diego

    San Diego, United States

    1 h-index

    1 publications

    123 citations

  6. Wuhan University

    Wuhan, China

    1 h-index

    4 publications

    544 citations

  7. Coventry University

    Coventry, United Kingdom

    1 h-index

    1 publications

    23 citations

  8. National Space Science Center

    Beijing, China

    1 h-index

    1 publications

    61 citations

1–8 of 35

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 282 citations

    4

    h-index

  2. Quantum Science and Technology

    QST · 1 publications · 55 citations

    1

    h-index

  3. Chemical Engineering Science

    1 publications · 29 citations

    1

    h-index

  4. International Conference on Machine Learning

    Conference · 1 publications · 23 citations

    1

    h-index

  5. Journal of Statistical Software

    JSS · 1 publications · 32 citations

    1

    h-index

1–5