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. 2112.13023
  4. Cited By
DARTS without a Validation Set: Optimizing the Marginal Likelihood

DARTS without a Validation Set: Optimizing the Marginal Likelihood

24 December 2021
M. Fil
Binxin Ru
Clare Lyle
Y. Gal
ArXivPDFHTML

Papers citing "DARTS without a Validation Set: Optimizing the Marginal Likelihood"

5 / 5 papers shown
Title
How Does Supernet Help in Neural Architecture Search?
How Does Supernet Help in Neural Architecture Search?
Yuge Zhang
Quanlu Zhang
Yaming Yang
13
10
0
16 Oct 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
88
147
0
28 Jan 2020
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
66
366
0
20 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
127
406
0
06 Mar 2017
1