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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
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
22
50
0
14 May 2023
Towards Compute-Optimal Transfer Learning
Towards Compute-Optimal Transfer Learning
Massimo Caccia
Alexandre Galashov
Arthur Douillard
Amal Rannen-Triki
Dushyant Rao
Michela Paganini
Laurent Charlin
MarcÁurelio Ranzato
Razvan Pascanu
13
3
0
25 Apr 2023
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
Carlos Rodriguez-Pardo
Melania Prieto-Martin
Dan Casas
Elena Garces
28
12
0
13 Apr 2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Mohit Sharma
Claudio Fantacci
Yuxiang Zhou
Skanda Koppula
N. Heess
Jonathan Scholz
Y. Aytar
VLM
44
29
0
13 Apr 2023
I2I: Initializing Adapters with Improvised Knowledge
I2I: Initializing Adapters with Improvised Knowledge
Tejas Srinivasan
Furong Jia
Mohammad Rostami
Jesse Thomason
CLL
26
6
0
04 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
66
12
0
29 Mar 2023
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init
  Attention
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Renrui Zhang
Jiaming Han
Chris Liu
Peng Gao
Aojun Zhou
Xiangfei Hu
Shilin Yan
Pan Lu
Hongsheng Li
Yu Qiao
MLLM
35
741
0
28 Mar 2023
$Δ$-Patching: A Framework for Rapid Adaptation of Pre-trained
  Convolutional Networks without Base Performance Loss
ΔΔΔ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss
Chaitanya Devaguptapu
Samarth Sinha
K. J. Joseph
V. Balasubramanian
Animesh Garg
65
1
0
26 Mar 2023
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging
  Heterogeneous Memory Architectures
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures
Zirui Fu
Aleksandre Avaliani
M. Donato
39
1
0
25 Mar 2023
Diversity-Aware Meta Visual Prompting
Diversity-Aware Meta Visual Prompting
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Weiming Zhang
Feifei Wang
Gang Hua
Neng H. Yu
VLM
VPVLM
41
52
0
14 Mar 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
22
32
0
16 Feb 2023
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained
  Language Models
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
Alexandra Chronopoulou
Matthew E. Peters
Alexander M. Fraser
Jesse Dodge
MoMe
21
65
0
14 Feb 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning
Adaptive Parameterization of Deep Learning Models for Federated Learning
Morten From Elvebakken
Alexandros Iosifidis
Lukas Esterle
FedML
18
4
0
06 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
28
1
0
06 Feb 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain
  Adaptation
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Zihao Xu
Guang-Yuan Hao
Hao He
Hao Wang
35
18
0
06 Feb 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
32
16
0
06 Jan 2023
Parameter-Efficient Fine-Tuning Design Spaces
Parameter-Efficient Fine-Tuning Design Spaces
Jiaao Chen
Aston Zhang
Xingjian Shi
Mu Li
Alexander J. Smola
Diyi Yang
31
59
0
04 Jan 2023
Principled and Efficient Transfer Learning of Deep Models via Neural
  Collapse
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
Xiao Li
Sheng Liu
Jin-li Zhou
Xin Lu
C. Fernandez‐Granda
Zhihui Zhu
Q. Qu
AAML
28
18
0
23 Dec 2022
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment
Chen Zhang
L. F. D’Haro
Qiquan Zhang
Thomas Friedrichs
Haizhou Li
23
7
0
18 Dec 2022
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual
  Machine Translation
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation
Maha Elbayad
Anna Y. Sun
Shruti Bhosale
MoE
46
8
0
15 Dec 2022
Federated Learning for Inference at Anytime and Anywhere
Federated Learning for Inference at Anytime and Anywhere
Zicheng Liu
Da Li
Javier Fernandez-Marques
Stefanos Laskaridis
Yan Gao
L. Dudziak
Stan Z. Li
S. Hu
Timothy M. Hospedales
FedML
21
5
0
08 Dec 2022
CHAPTER: Exploiting Convolutional Neural Network Adapters for
  Self-supervised Speech Models
CHAPTER: Exploiting Convolutional Neural Network Adapters for Self-supervised Speech Models
Zih-Ching Chen
Yu-Shun Sung
Hung-yi Lee
23
16
0
01 Dec 2022
UV R-CNN: Stable and Efficient Dense Human Pose Estimation
UV R-CNN: Stable and Efficient Dense Human Pose Estimation
Wenhe Jia
Yilin Zhou
Xuhan Zhu
Mengjie Hu
Chun Liu
Qing-Huang Song
3DH
26
3
0
04 Nov 2022
VTC: Improving Video-Text Retrieval with User Comments
VTC: Improving Video-Text Retrieval with User Comments
Laura Hanu
James Thewlis
Yuki M. Asano
Christian Rupprecht
VGen
21
7
0
19 Oct 2022
Hierarchical3D Adapters for Long Video-to-text Summarization
Hierarchical3D Adapters for Long Video-to-text Summarization
Pinelopi Papalampidi
Mirella Lapata
VGen
27
12
0
10 Oct 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Jon Almazán
ByungSoo Ko
Geonmo Gu
Diane Larlus
Yannis Kalantidis
ObjD
VLM
33
7
0
05 Oct 2022
Mixup for Test-Time Training
Mixup for Test-Time Training
Bochao Zhang
Rui Shao
Jingda Du
Pc Yuen
TTA
14
1
0
04 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning
Visual Prompt Tuning for Generative Transfer Learning
Kihyuk Sohn
Yuan Hao
José Lezama
Luisa F. Polanía
Huiwen Chang
Han Zhang
Irfan Essa
Lu Jiang
VPVLM
VLM
53
81
0
03 Oct 2022
Towards Parameter-Efficient Integration of Pre-Trained Language Models
  In Temporal Video Grounding
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
Erica K. Shimomoto
Edison Marrese-Taylor
Hiroya Takamura
Ichiro Kobayashi
Hideki Nakayama
Yusuke Miyao
27
7
0
26 Sep 2022
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
34
182
0
22 Sep 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
Multi-domain Learning for Updating Face Anti-spoofing Models
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo
Yaojie Liu
Anil Jain
Xiaoming Liu
CLL
CVBM
18
30
0
23 Aug 2022
Contrastive Adapters for Foundation Model Group Robustness
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang
Christopher Ré
VLM
10
61
0
14 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
20
2
0
14 Jul 2022
Probing via Prompting
Probing via Prompting
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
29
13
0
04 Jul 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and
  Federated Image Classification
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya
J. Bronskill
Massimiliano Patacchiola
Sebastian Nowozin
Richard E. Turner
3DH
FedML
38
27
0
17 Jun 2022
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer
  Learning
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung
Jaemin Cho
Mohit Bansal
VLM
21
234
0
13 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Yang Shu
Zhangjie Cao
Ziyang Zhang
Jianmin Wang
Mingsheng Long
17
4
0
08 Jun 2022
Contextual Adapters for Personalized Speech Recognition in Neural
  Transducers
Contextual Adapters for Personalized Speech Recognition in Neural Transducers
Kanthashree Mysore Sathyendra
Thejaswi Muniyappa
Feng-Ju Chang
Jing Liu
Jinru Su
Grant P. Strimel
Athanasios Mouchtaris
Siegfried Kunzmann
19
75
0
26 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
343
0
13 May 2022
Lifting the Curse of Multilinguality by Pre-training Modular
  Transformers
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
Jonas Pfeiffer
Naman Goyal
Xi Victoria Lin
Xian Li
James Cross
Sebastian Riedel
Mikel Artetxe
LRM
40
139
0
12 May 2022
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for
  Action Recognition
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition
Kazuki Omi
Jun Kimata
Toru Tamaki
21
7
0
15 Apr 2022
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
39
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
24
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
29
13
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
33
32
0
05 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
37
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
17
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
34
39
0
07 Mar 2022
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