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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 / 191 papers shown
Title
Efficient Adapter Transfer of Self-Supervised Speech Models for
  Automatic Speech Recognition
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition
Bethan Thomas
Samuel Kessler
S. Karout
16
70
0
07 Feb 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Real-Time Style Modelling of Human Locomotion via Feature-Wise
  Transformations and Local Motion Phases
Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases
I. Mason
Sebastian Starke
Taku Komura
3DH
40
47
0
12 Jan 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer
  Learning
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Utku Evci
Vincent Dumoulin
Hugo Larochelle
Michael C. Mozer
23
83
0
10 Jan 2022
Efficient Hierarchical Domain Adaptation for Pretrained Language Models
Efficient Hierarchical Domain Adaptation for Pretrained Language Models
Alexandra Chronopoulou
Matthew E. Peters
Jesse Dodge
23
42
0
16 Dec 2021
VL-Adapter: Parameter-Efficient Transfer Learning for
  Vision-and-Language Tasks
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung
Jaemin Cho
Mohit Bansal
VLM
VPVLM
29
342
0
13 Dec 2021
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond
Elena Garces
Carlos Rodriguez-Pardo
Dan Casas
Jorge López-Moreno
24
43
0
07 Dec 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov
Anurag Arnab
K. Choromanski
Mario Lucic
Yi Tay
Adrian Weller
Mostafa Dehghani
ViT
35
73
0
25 Nov 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
30
295
0
22 Nov 2021
Training Neural Networks with Fixed Sparse Masks
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung
Varun Nair
Colin Raffel
FedML
18
196
0
18 Nov 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
171
647
0
27 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
25
32
0
23 Oct 2021
The Power of Prompt Tuning for Low-Resource Semantic Parsing
The Power of Prompt Tuning for Low-Resource Semantic Parsing
Nathan Schucher
Siva Reddy
H. D. Vries
VLM
101
36
0
16 Oct 2021
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting
  the Tree
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree
Saurav Kadavath
Samuel Paradis
Brian Yao
VLM
CLIP
OffRL
OnRL
12
1
0
06 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
71
42
0
01 Oct 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Maciej Wołczyk
Magdalena Proszewska
Lukasz Maziarka
Maciej Ziȩba
Patryk Wielopolski
Rafał Kurczab
Marek Śmieja
DRL
27
5
0
18 Sep 2021
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and
  Accented Speech
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech
Katrin Tomanek
Vicky Zayats
Dirk Padfield
K. Vaillancourt
Fadi Biadsy
53
57
0
14 Sep 2021
xGQA: Cross-Lingual Visual Question Answering
xGQA: Cross-Lingual Visual Question Answering
Jonas Pfeiffer
Gregor Geigle
Aishwarya Kamath
Jan-Martin O. Steitz
Stefan Roth
Ivan Vulić
Iryna Gurevych
28
56
0
13 Sep 2021
Efficient Test Time Adapter Ensembling for Low-resource Language
  Varieties
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
Xinyi Wang
Yulia Tsvetkov
Sebastian Ruder
Graham Neubig
30
34
0
10 Sep 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
23
218
0
09 Aug 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning
Rethinking Hard-Parameter Sharing in Multi-Domain Learning
Lijun Zhang
Qizheng Yang
Xiao Liu
Hui Guan
OOD
23
14
0
23 Jul 2021
A Primer on Pretrained Multilingual Language Models
A Primer on Pretrained Multilingual Language Models
Sumanth Doddapaneni
Gowtham Ramesh
Mitesh M. Khapra
Anoop Kunchukuttan
Pratyush Kumar
LRM
43
73
0
01 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
25
113
0
01 Jul 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map
  Inference
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan
Youngji Kim
J. Grizzle
Jeffrey M. Walls
Ayoung Kim
Ryan Eustice
Maani Ghaffari
26
15
0
28 Jun 2021
Multi-Domain Active Learning: Literature Review and Comparative Study
Multi-Domain Active Learning: Literature Review and Comparative Study
Ruidan He
Shengcai Liu
Shan He
Ke Tang
OOD
19
14
0
25 Jun 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
27
22
0
09 Jun 2021
A Survey of Transformers
A Survey of Transformers
Tianyang Lin
Yuxin Wang
Xiangyang Liu
Xipeng Qiu
ViT
32
1,087
0
08 Jun 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
24
26
0
06 Apr 2021
Universal Representation Learning from Multiple Domains for Few-shot
  Classification
Universal Representation Learning from Multiple Domains for Few-shot Classification
Weihong Li
Xialei Liu
Hakan Bilen
SSL
OOD
VLM
30
84
0
25 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
37
80
0
24 Mar 2021
Structural Adapters in Pretrained Language Models for AMR-to-text
  Generation
Structural Adapters in Pretrained Language Models for AMR-to-text Generation
Leonardo F. R. Ribeiro
Yue Zhang
Iryna Gurevych
38
69
0
16 Mar 2021
Pretrained Transformers as Universal Computation Engines
Pretrained Transformers as Universal Computation Engines
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
28
217
0
09 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
A linearized framework and a new benchmark for model selection for
  fine-tuning
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
L. Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
112
46
0
29 Jan 2021
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Liang Lin
Yiming Gao
Ke Gong
Meng Wang
Xiaodan Liang
21
13
0
26 Jan 2021
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from
  Black-box Models?
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?
Jacson Rodrigues Correia-Silva
Rodrigo Berriel
C. Badue
Alberto F. de Souza
Thiago Oliveira-Santos
MLAU
11
14
0
21 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
20
4,075
0
01 Jan 2021
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
22
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
17
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
21
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
31
27
0
11 Dec 2020
Generalized Variational Continual Learning
Generalized Variational Continual Learning
Noel Loo
S. Swaroop
Richard E. 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
E. Ponti
Ivan Vulić
Anna Korhonen
23
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
22
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
11
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
23
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
24
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
31
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
11
143
0
11 Sep 2020
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