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Incremental Unsupervised Domain-Adversarial Training of Neural Networks

Incremental Unsupervised Domain-Adversarial Training of Neural Networks

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
13 January 2020
Antonio Javier Gallego
Jorge Calvo-Zaragoza
Robert B. Fisher
    CLLOOD
ArXiv (abs)PDFHTML

Papers citing "Incremental Unsupervised Domain-Adversarial Training of Neural Networks"

9 / 9 papers shown
Unsupervised Attention Regularization Based Domain Adaptation for Oracle
  Character Recognition
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition
Mei Wang
Weihong Deng
Jiani Hu
Sen Su
294
1
0
24 Sep 2024
Few-shot learning for COVID-19 Chest X-Ray Classification with
  Imbalanced Data: An Inter vs. Intra Domain Study
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
Alejandro Galán-Cuenca
Antonio Javier Gallego
Marcelo Saval-Calvo
A. Pertusa
220
12
0
18 Jan 2024
Deep Neural Networks in Video Human Action Recognition: A Review
Deep Neural Networks in Video Human Action Recognition: A Review
Zihan Wang
Yang Yang
Zhi Liu
Y. Zheng
322
9
0
25 May 2023
Improving Automated Program Repair with Domain Adaptation
Improving Automated Program Repair with Domain AdaptationACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Armin Zirak
Hadi Hemmati
220
16
0
21 Dec 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks
On the Robustness of Bayesian Neural Networks to Adversarial AttacksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Luca Bortolussi
Ginevra Carbone
Luca Laurenti
A. Patané
G. Sanguinetti
Matthew Wicker
AAML
351
19
0
13 Jul 2022
Fast Adversarial Training with Noise Augmentation: A Unified Perspective
  on RandStart and GradAlign
Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign
Axi Niu
Kang Zhang
Chaoning Zhang
Chenshuang Zhang
In So Kweon
Chang D. Yoo
Yanning Zhang
AAML
246
6
0
11 Feb 2022
Self-Supervised Learning to Prove Equivalence Between Straight-Line
  Programs via Rewrite Rules
Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules
Steve Kommrusch
Monperrus Martin
L. Pouchet
477
11
0
22 Sep 2021
Unsupervised Neural Domain Adaptation for Document Image Binarization
Unsupervised Neural Domain Adaptation for Document Image BinarizationPattern Recognition (Pattern Recognit.), 2020
Francisco J. Castellanos
Antonio Javier Gallego
Jorge Calvo-Zaragoza
OOD
199
22
0
02 Dec 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.5K
5,156
0
17 Feb 2017
1
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