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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
Federated Learning with Partial Model Personalization
Federated Learning with Partial Model Personalization
Krishna Pillutla
Kshitiz Malik
Abdel-rahman Mohamed
Michael G. Rabbat
Maziar Sanjabi
Lin Xiao
FedML
41
154
0
08 Apr 2022
Class-Incremental Learning with Strong Pre-trained Models
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying Wu
Gurumurthy Swaminathan
Zhizhong Li
Avinash Ravichandran
Nuno Vasconcelos
Rahul Bhotika
Stefano Soatto
CLL
32
67
0
07 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
28
27
0
06 Apr 2022
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual
  Retrieval
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
Robert Litschko
Ivan Vulić
Goran Glavavs
LRM
37
14
0
05 Apr 2022
MetaAudio: A Few-Shot Audio Classification Benchmark
MetaAudio: A Few-Shot Audio Classification Benchmark
Calum Heggan
S. Budgett
Timothy M. Hospedales
Mehrdad Yaghoobi
VLM
41
32
0
05 Apr 2022
Proper Reuse of Image Classification Features Improves Object Detection
Proper Reuse of Image Classification Features Improves Object Detection
C. N. Vasconcelos
Vighnesh Birodkar
Vincent Dumoulin
VLM
17
32
0
01 Apr 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
SSL
ViT
43
7
0
16 Mar 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding
Yujia Qin
Guang Yang
Fu Wei
Zonghan Yang
...
Jianfei Chen
Yang Liu
Jie Tang
Juan Li
Maosong Sun
32
196
0
14 Mar 2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Shengnan An
Yifei Li
Zeqi Lin
Qian Liu
Bei Chen
Qiang Fu
Weizhu Chen
Nanning Zheng
Jian-Guang Lou
VLM
AAML
42
40
0
07 Mar 2022
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
28
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
43
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
30
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
33
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
Joey Tianyi Zhou
VLM
VPVLM
37
343
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
32
197
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
197
651
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
114
36
0
16 Oct 2021
Control Prefixes for Parameter-Efficient Text Generation
Control Prefixes for Parameter-Efficient Text Generation
Jordan Clive
Kris Cao
Marek Rei
44
32
0
15 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
22
1
0
06 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
71
43
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
59
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
37
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
38
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
40
218
0
09 Aug 2021
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised
  Speech Representation Learning
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning
Samuel Kessler
Bethan Thomas
S. Karout
SSL
24
29
0
26 Jul 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
31
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
74
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
30
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
32
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
37
22
0
09 Jun 2021
A Survey of Transformers
A Survey of Transformers
Tianyang Lin
Yuxin Wang
Xiangyang Liu
Xipeng Qiu
ViT
53
1,088
0
08 Jun 2021
Learning a Universal Template for Few-shot Dataset Generalization
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou
Hugo Larochelle
R. Zemel
Vincent Dumoulin
32
92
0
14 May 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
29
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
Explainability Guided Multi-Site COVID-19 CT Classification
Explainability Guided Multi-Site COVID-19 CT Classification
Ameen Ali
Tal Shaharabany
Lior Wolf
27
4
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
43
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
41
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
118
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
24
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
13
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
4,088
0
01 Jan 2021
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