TripleSpin - a generic compact paradigm for fast machine learning
computations

TripleSpin - a generic compact paradigm for fast machine learning computations

29 May 2016

Francois Fagan

Cédric Gouy-Pailler

Anne Morvan

Vikas Sindhwani

Jamal Atif

Papers citing "TripleSpin - a generic compact paradigm for fast machine learning computations"

9 / 9 papers shown

Title
On the Expressive Power of Self-Attention Matrices Valerii Likhosherstov K. Choromanski Adrian Weller 37 34 0 07 Jun 2021
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo Yueming Lyu Yuan. Yuan Ivor W. Tsang 13 4 0 29 Oct 2020
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
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 27 40 0 04 Oct 2018
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings K. Choromanski Mark Rowland Adrian Weller 16 85 0 02 Mar 2017
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 29 217 0 28 Oct 2016
Deep Structured Features for Semantic Segmentation Michael Tschannen Lukas Cavigelli Fabian Mentzer Thomas Wiatowski Luca Benini SSeg 25 14 0 26 Sep 2016
Sketching for Large-Scale Learning of Mixture Models Nicolas Keriven Anthony Bourrier Rémi Gribonval Patrick Pérez 37 75 0 09 Jun 2016
SUIS: An Online Graphical Signature-Based User Identification System Séamus Lankford 18 7 0 29 May 2016