ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1503.03893
  4. Cited By
Compact Nonlinear Maps and Circulant Extensions

Compact Nonlinear Maps and Circulant Extensions

12 March 2015
Felix X. Yu
Sanjiv Kumar
H. Rowley
Shih-Fu Chang
ArXivPDFHTML

Papers citing "Compact Nonlinear Maps and Circulant Extensions"

5 / 5 papers shown
Title
Contextual Embeddings: When Are They Worth It?
Contextual Embeddings: When Are They Worth It?
Simran Arora
Avner May
Jian Zhang
Christopher Ré
8
58
0
18 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
44
172
0
23 Apr 2020
Orthogonal Random Features
Orthogonal Random Features
Felix X. Yu
A. Suresh
K. Choromanski
D. Holtmann-Rice
Sanjiv Kumar
27
217
0
28 Oct 2016
TripleSpin - a generic compact paradigm for fast machine learning
  computations
TripleSpin - a generic compact paradigm for fast machine learning computations
K. Choromanski
Francois Fagan
Cédric Gouy-Pailler
Anne Morvan
Vikas Sindhwani
Jamal Atif
29
7
0
29 May 2016
Tensor machines for learning target-specific polynomial features
Tensor machines for learning target-specific polynomial features
Jiyan Yang
Alex Gittens
34
8
0
07 Apr 2015
1