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Experimental Design for Overparameterized Learning with Application to
  Single Shot Deep Active Learning

Experimental Design for Overparameterized Learning with Application to Single Shot Deep Active Learning

27 September 2020
N. Shoham
H. Avron
    BDL
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Papers citing "Experimental Design for Overparameterized Learning with Application to Single Shot Deep Active Learning"

4 / 4 papers shown
Title
Active Few-Shot Fine-Tuning
Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
Yarden As
Andreas Krause
48
1
0
13 Feb 2024
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert
  Spaces
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmír Mutný
Andreas Krause
35
11
0
26 May 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression
A Framework and Benchmark for Deep Batch Active Learning for Regression
David Holzmüller
Viktor Zaverkin
Johannes Kastner
Ingo Steinwart
UQCV
BDL
GP
31
34
0
17 Mar 2022
Random Features for the Neural Tangent Kernel
Random Features for the Neural Tangent Kernel
Insu Han
H. Avron
N. Shoham
Chaewon Kim
Jinwoo Shin
27
9
0
03 Apr 2021
1