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Learning multiple visual domains with residual adapters

Learning multiple visual domains with residual adapters

22 May 2017
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
    OOD
ArXivPDFHTML

Papers citing "Learning multiple visual domains with residual adapters"

50 / 215 papers shown
Title
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
Jonas Pfeiffer
Ivan Vulić
Iryna Gurevych
Sebastian Ruder
24
126
0
31 Dec 2020
Efficient Continual Learning with Modular Networks and Task-Driven
  Priors
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
30
97
0
23 Dec 2020
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial
  Datasets
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
R. Gong
Dengxin Dai
Yuhua Chen
Wen Li
Luc Van Gool
24
22
0
15 Dec 2020
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual
  Transfer
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer
M. Vidoni
Ivan Vulić
Goran Glavas
33
27
0
11 Dec 2020
Generalized Variational Continual Learning
Generalized Variational Continual Learning
Noel Loo
S. Swaroop
Richard Turner
BDL
CLL
33
58
0
24 Nov 2020
Emergent Communication Pretraining for Few-Shot Machine Translation
Emergent Communication Pretraining for Few-Shot Machine Translation
Yaoyiran Li
Edoardo Ponti
Ivan Vulić
Anna Korhonen
25
19
0
02 Nov 2020
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
35
99
0
22 Oct 2020
The Traveling Observer Model: Multi-task Learning Through Spatial
  Variable Embeddings
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson
Risto Miikkulainen
21
12
0
05 Oct 2020
Deep Anomaly Detection by Residual Adaptation
Deep Anomaly Detection by Residual Adaptation
Lucas Deecke
Lukas Ruff
Robert A. Vandermeulen
Hakan Bilen
UQCV
28
4
0
05 Oct 2020
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on
  a Massive Scale
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
Andreas Rucklé
Jonas Pfeiffer
Iryna Gurevych
27
37
0
02 Oct 2020
Scalable Transfer Learning with Expert Models
Scalable Transfer Learning with Expert Models
J. Puigcerver
C. Riquelme
Basil Mustafa
Cédric Renggli
André Susano Pinto
Sylvain Gelly
Daniel Keysers
N. Houlsby
34
62
0
28 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT
  Classification
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
Zhao Wang
Quande Liu
Qi Dou
OOD
19
162
0
15 Sep 2020
Heterogeneous Domain Generalization via Domain Mixup
Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang
Haoliang Li
Alex C. Kot
OOD
19
143
0
11 Sep 2020
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
Samuel Albanie
Yang Liu
Arsha Nagrani
Antoine Miech
Ernesto Coto
...
Kaixu Cui
Hui Liu
Chen Wang
Yudong Jiang
Xiaoshuai Hao
34
9
0
03 Aug 2020
Challenge-Aware RGBT Tracking
Challenge-Aware RGBT Tracking
Chenglong Li
Lei Liu
Andong Lu
Q. Ji
Jin Tang
111
129
0
26 Jul 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
30
72
0
24 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 2020
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in
  Aerial and Satellite Imagery
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite Imagery
Javed Iqbal
Mohsen Ali
12
49
0
05 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
42
463
0
30 Jun 2020
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for
  Biomedical Imaging
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging
Bora Baydar
Savas Ozkan
A. Emre Kavur
N. Gezer
M. Alper Selver
G. Akar
OOD
16
0
0
08 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luyang Luo
Lequan Yu
Hao Chen
Quande Liu
Xi Wang
Jiaqi Xu
Pheng-Ann Heng
OOD
27
75
0
06 Jun 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLL
MoMe
26
817
0
01 May 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
29
72
0
28 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
82
1,935
0
11 Apr 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient
  Transfer Learning
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Zhaojiang Lin
Andrea Madotto
Pascale Fung
34
155
0
08 Apr 2020
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D
  Object Pose Estimation in Color Images
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images
Juil Sock
Guillermo Garcia-Hernando
Anil Armagan
Tae-Kyun Kim
24
5
0
27 Mar 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
225
146
0
16 Mar 2020
Towards Universal Representation Learning for Deep Face Recognition
Towards Universal Representation Learning for Deep Face Recognition
Yichun Shi
Xiang Yu
Kihyuk Sohn
Manmohan Chandraker
Anil K. Jain
CVBM
OOD
17
148
0
26 Feb 2020
Residual Continual Learning
Residual Continual Learning
Janghyeon Lee
Donggyu Joo
H. Hong
Junmo Kim
CLL
14
23
0
17 Feb 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with
  Heterogeneous MRI Data
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Quande Liu
Qi Dou
Lequan Yu
Pheng Ann Heng
OOD
74
274
0
09 Feb 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
ScaIL: Classifier Weights Scaling for Class Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
22
78
0
16 Jan 2020
On the Cross-lingual Transferability of Monolingual Representations
On the Cross-lingual Transferability of Monolingual Representations
Mikel Artetxe
Sebastian Ruder
Dani Yogatama
28
774
0
25 Oct 2019
Object landmark discovery through unsupervised adaptation
Object landmark discovery through unsupervised adaptation
Enrique Sanchez
Georgios Tzimiropoulos
21
22
0
21 Oct 2019
A Constructive Prediction of the Generalization Error Across Scales
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld
Amir Rosenfeld
Yonatan Belinkov
Nir Shavit
36
205
0
27 Sep 2019
Simple, Scalable Adaptation for Neural Machine Translation
Simple, Scalable Adaptation for Neural Machine Translation
Ankur Bapna
N. Arivazhagan
Orhan Firat
AI4CE
44
407
0
18 Sep 2019
3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image
  Segmentation
3D U2^22-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
Chao Huang
Hu Han
Qingsong Yao
Shankuan Zhu
S. Kevin Zhou
OOD
SSeg
29
71
0
04 Sep 2019
Consistent Classification with Generalized Metrics
Consistent Classification with Generalized Metrics
Xiaoyang Wang
Ran Li
Bowei Yan
Oluwasanmi Koyejo
24
8
0
24 Aug 2019
Feature Partitioning for Efficient Multi-Task Architectures
Feature Partitioning for Efficient Multi-Task Architectures
Alejandro Newell
Lu Jiang
Chong-Jun Wang
Li-Jia Li
Jia Deng
30
17
0
12 Aug 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Efficient Multi-Domain Network Learning by Covariance Normalization
Yunsheng Li
Nuno Vasconcelos
OOD
22
32
0
24 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
24
241
0
18 Jun 2019
Budget-Aware Adapters for Multi-Domain Learning
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
N. Sebe
Elisa Ricci
OOD
22
41
0
15 May 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
77
245
0
18 Apr 2019
Towards Universal Object Detection by Domain Attention
Towards Universal Object Detection by Domain Attention
Xudong Wang
Zhaowei Cai
Dashan Gao
Nuno Vasconcelos
OOD
25
193
0
09 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
M. Worring
MoE
24
96
0
28 Mar 2019
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer
  Learning
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
P. Whatmough
Chuteng Zhou
Patrick Hansen
S. Venkataramanaiah
Jae-sun Seo
Matthew Mattina
15
57
0
27 Feb 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian
  Process Approach
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Minyoung Kim
Pritish Sahu
Behnam Gholami
Vladimir Pavlovic
OOD
11
45
0
23 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
26
145
0
03 Feb 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Kimin Lee
Mantas Mazeika
NoLa
34
719
0
28 Jan 2019
Disjoint Label Space Transfer Learning with Common Factorised Space
Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang
Yongxin Yang
Tao Xiang
Timothy M. Hospedales
DRL
24
55
0
06 Dec 2018
Regularizing by the Variance of the Activations' Sample-Variances
Regularizing by the Variance of the Activations' Sample-Variances
Etai Littwin
Lior Wolf
VLM
23
12
0
21 Nov 2018
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