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. 1706.04983
  4. Cited By
FreezeOut: Accelerate Training by Progressively Freezing Layers

FreezeOut: Accelerate Training by Progressively Freezing Layers

15 June 2017
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
ArXivPDFHTML

Papers citing "FreezeOut: Accelerate Training by Progressively Freezing Layers"

13 / 13 papers shown
Title
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
Wenhao Hu
Paul Henderson
José Cano
30
0
0
12 May 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
Timur Carstensen
Neeratyoy Mallik
Frank Hutter
Martin Rapp
AI4CE
24
0
0
14 Apr 2025
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
31
1
0
19 Oct 2024
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Riccardo Miccini
Alaa Zniber
Clément Laroche
Tobias Piechowiak
Martin Schoeberl
Luca Pezzarossa
Ouassim Karrakchou
J. Sparsø
Mounir Ghogho
25
1
0
31 Aug 2023
No Train No Gain: Revisiting Efficient Training Algorithms For
  Transformer-based Language Models
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Jean Kaddour
Oscar Key
Piotr Nawrot
Pasquale Minervini
Matt J. Kusner
17
41
0
12 Jul 2023
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular
  Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
Syed Samiul Alam
Samiul Based Shuvo
Shams Nafisa Ali
F. Ahmed
Arbil Chakma
Yeonggul Jang
10
5
0
18 May 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
28
40
0
07 Apr 2023
Text recognition on images using pre-trained CNN
Text recognition on images using pre-trained CNN
Afgani Fajar Rizky
N. Yudistira
Edy Santoso
VLM
18
4
0
10 Feb 2023
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth
  Efficient Federated Learning
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
Shiqi He
Qifan Yan
Feijie Wu
Lanjun Wang
Mathias Lécuyer
Ivan Beschastnikh
FedML
34
7
0
03 Dec 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Bart Cox
L. Chen
Jérémie Decouchant
FedML
27
11
0
12 Oct 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning
Towards Adversarial Evaluations for Inexact Machine Unlearning
Shashwat Goel
Ameya Prabhu
Amartya Sanyal
Ser-Nam Lim
Philip H. S. Torr
Ponnurangam Kumaraguru
AAML
ELM
MU
26
45
0
17 Jan 2022
Reservoir Transformers
Reservoir Transformers
Sheng Shen
Alexei Baevski
Ari S. Morcos
Kurt Keutzer
Michael Auli
Douwe Kiela
27
17
0
30 Dec 2020
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
7,634
0
03 Jul 2012
1