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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
Differentially Private Adapters for Parameter Efficient Acoustic
  Modeling
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
Chun-Wei Ho
Chao-Han Huck Yang
Sabato Marco Siniscalchi
26
1
0
19 May 2023
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
35
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
21
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
31
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
50
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
32
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
13
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
74
745
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
44
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
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
Mingxu Tao
Yansong Feng
Dongyan Zhao
CLL
KELM
32
10
0
02 Mar 2023
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE
  Benchmark for Speech Understanding
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding
Yingting Li
Ambuj Mehrish
Shuaijiang Zhao
Rishabh Bhardwaj
Amir Zadeh
Navonil Majumder
Rada Mihalcea
Soujanya Poria
AAML
29
16
0
02 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
32
73
0
22 Feb 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
26
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 Fraser
Jesse Dodge
MoMe
32
66
0
14 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with
  Generalization Guarantees
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
Chulin Xie
De-An Huang
Wen-Hsuan Chu
Daguang Xu
Chaowei Xiao
Bo-wen Li
Anima Anandkumar
FedML
26
10
0
13 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
26
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
38
19
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
35
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
42
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
19
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
26
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
54
9
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
32
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
29
16
0
01 Dec 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
47
20
0
17 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
39
17
0
15 Nov 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
31
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
41
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
31
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
41
7
0
05 Oct 2022
Mixup for Test-Time Training
Mixup for Test-Time Training
Bochao Zhang
Rui Shao
Jingda Du
Pc Yuen
TTA
27
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
56
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
36
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
33
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
33
30
0
23 Aug 2022
Contrastive Adapters for Foundation Model Group Robustness
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang
Christopher Ré
VLM
18
62
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
23
2
0
14 Jul 2022
Probing via Prompting
Probing via Prompting
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
37
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 Turner
3DH
FedML
46
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
Joey Tianyi Zhou
VLM
21
237
0
13 Jun 2022
The Missing Link: Finding label relations across datasets
The Missing Link: Finding label relations across datasets
J. Uijlings
Thomas Mensink
V. Ferrari
VLM
29
10
0
09 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
344
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 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
23
7
0
15 Apr 2022
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