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. 2102.06725
  4. Cited By
Neural Network Libraries: A Deep Learning Framework Designed from
  Engineers' Perspectives

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives

12 February 2021
T. Narihira
Javier Alonsogarcia
Fabien Cardinaux
Akio Hayakawa
Masato Ishii
Kazunori Iwaki
Thomas Kemp
Yoshiyuki Kobayashi
Lukas Mauch
Akira Nakamura
Yukio Obuchi
Andrew Shin
Kenji Suzuki
Stephen Tiedmann
Stefan Uhlich
T. Yashima
K. Yoshiyama
ArXivPDFHTML

Papers citing "Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives"

6 / 6 papers shown
Title
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Naoki Matsunaga
Masato Ishii
Akio Hayakawa
Kenji Suzuki
T. Narihira
DiffM
57
13
0
05 Dec 2022
Thinking the Fusion Strategy of Multi-reference Face Reenactment
Thinking the Fusion Strategy of Multi-reference Face Reenactment
T. Yashima
T. Narihira
Tamaki Kojima
DiffM
CVBM
38
1
0
22 Feb 2022
Latte: Cross-framework Python Package for Evaluation of Latent-Based
  Generative Models
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
Alon Jacovi
Junyoung Lee
Alexander Lerch
DRL
23
1
0
20 Dec 2021
Data Cleansing for Deep Neural Networks with Storage-efficient
  Approximation of Influence Functions
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
Kenji Suzuki
Yoshiyuki Kobayashi
T. Narihira
TDI
31
5
0
22 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
345
10,391
0
12 Dec 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
348
10,237
0
16 Nov 2016
1