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Spectral Inference Networks: Unifying Deep and Spectral Learning

Spectral Inference Networks: Unifying Deep and Spectral Learning

6 June 2018
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
ArXivPDFHTML

Papers citing "Spectral Inference Networks: Unifying Deep and Spectral Learning"

5 / 5 papers shown
Title
Unsupervised Learning on a DIET: Datum IndEx as Target Free of
  Self-Supervision, Reconstruction, Projector Head
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
22
3
0
20 Feb 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
Pierre Harvey Richemond
Allison C. Tam
Yunhao Tang
Florian Strub
Bilal Piot
Felix Hill
SSL
18
9
0
09 Feb 2023
Deep Laplacian-based Options for Temporally-Extended Exploration
Deep Laplacian-based Options for Temporally-Extended Exploration
Martin Klissarov
Marlos C. Machado
OffRL
8
17
0
26 Jan 2023
A Novel Stochastic Gradient Descent Algorithm for Learning Principal
  Subspaces
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
Charline Le Lan
Joshua Greaves
Jesse Farebrother
Mark Rowland
Fabian Pedregosa
Rishabh Agarwal
Marc G. Bellemare
27
8
0
08 Dec 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Zhijie Deng
Jiaxin Shi
Jun Zhu
8
18
0
30 Apr 2022
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