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. 1512.04829
  4. Cited By
Feature-Level Domain Adaptation

Feature-Level Domain Adaptation

15 December 2015
Wouter M. Kouw
Jesse H. Krijthe
Marco Loog
Laurens van der Maaten
    OOD
ArXivPDFHTML

Papers citing "Feature-Level Domain Adaptation"

6 / 6 papers shown
Title
Dropout Training for Support Vector Machines
Dropout Training for Support Vector Machines
Ning Chen
Jun Zhu
Jianfei Chen
Bo Zhang
55
37
0
16 Apr 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
170
4,946
0
06 Oct 2013
Dropout Training as Adaptive Regularization
Dropout Training as Adaptive Regularization
Stefan Wager
Sida I. Wang
Percy Liang
109
597
0
04 Jul 2013
Efficient Learning of Domain-invariant Image Representations
Efficient Learning of Domain-invariant Image Representations
Judy Hoffman
E. Rodner
Jeff Donahue
Trevor Darrell
Kate Saenko
OOD
70
295
0
15 Jan 2013
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
398
7,650
0
03 Jul 2012
Sample Selection Bias Correction Theory
Sample Selection Bias Correction Theory
Corinna Cortes
M. Mohri
Michael Riley
Afshin Rostamizadeh
95
346
0
19 May 2008
1