ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.05344
  4. Cited By
SMASH: One-Shot Model Architecture Search through HyperNetworks

SMASH: One-Shot Model Architecture Search through HyperNetworks

17 August 2017
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
ArXivPDFHTML

Papers citing "SMASH: One-Shot Model Architecture Search through HyperNetworks"

14 / 164 papers shown
Title
Auto-Meta: Automated Gradient Based Meta Learner Search
Auto-Meta: Automated Gradient Based Meta Learner Search
Jaehong Kim
Sangyeul Lee
Sungwan Kim
Moonsu Cha
Jung Kwon Lee
Youngduck Choi
Yongseok Choi
Dong-Yeon Cho
Jiwon Kim
AI4CE
33
39
0
11 Jun 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network
  Structure Searching from Scratch
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch
Jian Ren
Zhe Li
Jianchao Yang
N. Xu
Tianbao Yang
D. Foran
35
17
0
05 Jun 2018
Parallel Architecture and Hyperparameter Search via Successive Halving
  and Classification
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Manoj Kumar
George E. Dahl
Vijay Vasudevan
Mohammad Norouzi
28
25
0
25 May 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
63
1,758
0
24 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
499
0
24 Apr 2018
Exploiting the Potential of Standard Convolutional Autoencoders for
  Image Restoration by Evolutionary Search
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
Masanori Suganuma
Mete Ozay
Takayuki Okatani
25
87
0
01 Mar 2018
Stochastic Hyperparameter Optimization through Hypernetworks
Stochastic Hyperparameter Optimization through Hypernetworks
Jonathan Lorraine
David Duvenaud
47
139
0
26 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
704
0
26 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
35
1,343
0
10 Feb 2018
Simple And Efficient Architecture Search for Convolutional Neural
  Networks
Simple And Efficient Architecture Search for Convolutional Neural Networks
T. Elsken
J. H. Metzen
Frank Hutter
36
230
0
13 Nov 2017
Implicit Weight Uncertainty in Neural Networks
Implicit Weight Uncertainty in Neural Networks
Nick Pawlowski
Andrew Brock
Matthew C. H. Lee
Martin Rajchl
Ben Glocker
BDL
UQCV
30
95
0
03 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
102
26,062
0
05 Sep 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
Previous
1234