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ADAPT : Awesome Domain Adaptation Python Toolbox
v1v2 (latest)

ADAPT : Awesome Domain Adaptation Python Toolbox

7 July 2021
Antoine de Mathelin
Mounir Atiq
Guillaume Richard
Alejandro de la Concha
Mouad Yachouti
Franccois Deheeger
Mathilde Mougeot
Nicolas Vayatis
    TTA
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Papers citing "ADAPT : Awesome Domain Adaptation Python Toolbox"

16 / 16 papers shown
Title
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery
Alexander Olza
David Soto
Roberto Santana
75
0
0
28 Jan 2025
Vertical Validation: Evaluating Implicit Generative Models for Graphs on
  Thin Support Regions
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions
Mai Elkady
Thu Bui
Bruno Ribeiro
David I. Inouye
110
0
0
20 Nov 2024
Sample Selection Bias in Machine Learning for Healthcare
Sample Selection Bias in Machine Learning for Healthcare
V. Chauhan
Lei A. Clifton
Achille Salaün
Huiqi Yvonne Lu
Kim Branson
Patrick Schwab
Gaurav Nigam
David Clifton
84
1
0
13 May 2024
DualTake: Predicting Takeovers across Mobilities for Future Personalized
  Mobility Services
DualTake: Predicting Takeovers across Mobilities for Future Personalized Mobility Services
Z. Zheng
Kumar Akash
Teruhisa Misu
55
0
0
18 Jan 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation
Nearest Neighbor Sampling for Covariate Shift Adaptation
Franccois Portier
Lionel Truquet
Ikko Yamane
OffRL
39
1
0
15 Dec 2023
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
R. Roscher
M. Rußwurm
Caroline Gevaert
Michael C. Kampffmeyer
J. A. dos Santos
...
Ronny Hansch
Stine Hansen
Keiller Nogueira
Jonathan Prexl
D. Tuia
132
13
0
08 Dec 2023
Some notes concerning a generalized KMM-type optimization method for
  density ratio estimation
Some notes concerning a generalized KMM-type optimization method for density ratio estimation
C. Alecsa
20
0
0
14 Sep 2023
biquality-learn: a Python library for Biquality Learning
biquality-learn: a Python library for Biquality Learning
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
46
0
0
18 Aug 2023
Revisiting the Robustness of the Minimum Error Entropy Criterion: A
  Transfer Learning Case Study
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study
Luis P. Silvestrin
Shujian Yu
Mark Hoogendoorn
OOD
114
1
0
17 Jul 2023
Unsupervised domain adaptation by learning using privileged information
Unsupervised domain adaptation by learning using privileged information
Adam Breitholtz
Anton Matsson
Fredrik D. Johansson
OOD
59
2
0
16 Mar 2023
PyTorch Adapt
PyTorch Adapt
Kevin Musgrave
Serge Belongie
Ser-Nam Lim
AI4CETTA
42
1
0
28 Nov 2022
Detecting train driveshaft damages using accelerometer signals and
  Differential Convolutional Neural Networks
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Antía López Galdo
Alejandro Guerrero-López
Pablo Martínez Olmos
María Jesús Gómez García
36
5
0
15 Nov 2022
Fast and Accurate Importance Weighting for Correcting Sample Bias
Fast and Accurate Importance Weighting for Correcting Sample Bias
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
90
7
0
09 Sep 2022
Discrepancy-Based Active Learning for Domain Adaptation
Discrepancy-Based Active Learning for Domain Adaptation
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
107
24
0
05 Mar 2021
Adversarial Weighting for Domain Adaptation in Regression
Adversarial Weighting for Domain Adaptation in Regression
Antoine de Mathelin
Guillaume Richard
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
106
45
0
15 Jun 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
309
4,688
0
17 Feb 2017
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