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Properties of the After Kernel

Properties of the After Kernel

21 May 2021
Philip M. Long
ArXivPDFHTML

Papers citing "Properties of the After Kernel"

8 / 8 papers shown
Title
On the Stepwise Nature of Self-Supervised Learning
On the Stepwise Nature of Self-Supervised Learning
James B. Simon
Maksis Knutins
Liu Ziyin
Daniel Geisz
Abraham J. Fetterman
Joshua Albrecht
SSL
32
29
0
27 Mar 2023
Evolution of Neural Tangent Kernels under Benign and Adversarial
  Training
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Noel Loo
Ramin Hasani
Alexander Amini
Daniela Rus
AAML
34
13
0
21 Oct 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Nikolaos Tsilivis
Julia Kempe
AAML
39
17
0
11 Oct 2022
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis
  Function Decomposition
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
Jianhao Ma
Li-Zhen Guo
S. Fattahi
38
4
0
01 Oct 2022
On Kernel Regression with Data-Dependent Kernels
On Kernel Regression with Data-Dependent Kernels
James B. Simon
BDL
23
3
0
04 Sep 2022
Random Feature Amplification: Feature Learning and Generalization in
  Neural Networks
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
Spencer Frei
Niladri S. Chatterji
Peter L. Bartlett
MLT
30
29
0
15 Feb 2022
Classification and Adversarial examples in an Overparameterized Linear
  Model: A Signal Processing Perspective
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
Adhyyan Narang
Vidya Muthukumar
A. Sahai
SILM
AAML
36
1
0
27 Sep 2021
The large learning rate phase of deep learning: the catapult mechanism
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
159
234
0
04 Mar 2020
1