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Towards NNGP-guided Neural Architecture Search

Towards NNGP-guided Neural Architecture Search

11 November 2020
Daniel S. Park
Jaehoon Lee
Daiyi Peng
Yuan Cao
Jascha Narain Sohl-Dickstein
    BDL
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Papers citing "Towards NNGP-guided Neural Architecture Search"

7 / 7 papers shown
Title
How Feature Learning Can Improve Neural Scaling Laws
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon
Alexander B. Atanasov
C. Pehlevan
54
12
0
26 Sep 2024
Rethink DARTS Search Space and Renovate a New Benchmark
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang
Zhiming Ding
33
1
0
12 Jun 2023
NASI: Label- and Data-agnostic Neural Architecture Search at
  Initialization
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Yao Shu
Shaofeng Cai
Zhongxiang Dai
Beng Chin Ooi
K. H. Low
16
43
0
02 Sep 2021
Dataset Distillation with Infinitely Wide Convolutional Networks
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen
Roman Novak
Lechao Xiao
Jaehoon Lee
DD
30
229
0
27 Jul 2021
Generalization Guarantees for Neural Architecture Search with
  Train-Validation Split
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
Samet Oymak
Mingchen Li
Mahdi Soltanolkotabi
AI4CE
OOD
31
13
0
29 Apr 2021
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
348
0
14 Jun 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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