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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 / 182 papers shown
Title
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Songlin Dong
Chenhao Ding
Jiangyang Li
Jizhou Han
Qiang Wang
Yuhang He
Yihong Gong
CLL
VLM
35
0
0
12 May 2025
Token Coordinated Prompt Attention is Needed for Visual Prompting
Token Coordinated Prompt Attention is Needed for Visual Prompting
Zichen Liu
Xu Zou
Gang Hua
Jiahuan Zhou
36
0
0
05 May 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang
Liwen Cao
Yanru Wu
Zijie Zhao
Guan Wang
Yang Li
49
0
0
09 Apr 2025
Towards Symmetric Low-Rank Adapters
Towards Symmetric Low-Rank Adapters
Tales Panoutsos
Rodrygo L. T. Santos
Flavio Figueiredo
28
0
0
29 Mar 2025
Efficient Jailbreaking of Large Models by Freeze Training: Lower Layers Exhibit Greater Sensitivity to Harmful Content
Efficient Jailbreaking of Large Models by Freeze Training: Lower Layers Exhibit Greater Sensitivity to Harmful Content
Hongyuan Shen
Min Zheng
Jincheng Wang
Yang Zhao
42
0
0
28 Feb 2025
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data
Minh Tran
Yutong Pang
Debjyoti Paul
Laxmi Pandey
Kevin Jiang
Jinxi Guo
Ke Li
Shun Zhang
X. Zhang
Xin Lei
AI4CE
36
0
0
21 Jan 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Xiaopeng Li
Jingtong Gao
Pengyue Jia
Xiangyu Zhao
Yichao Wang
...
Y. Wang
Yuhao Wang
Xiangyu Zhao
Huifeng Guo
Ruiming Tang
57
1
0
17 Jan 2025
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
GaLore+++: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
Xutao Liao
Shaohui Li
Yuhui Xu
Zhi Li
Y. Liu
You He
VLM
59
2
0
31 Dec 2024
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Weiyun Wang
Zhe Chen
Wenhai Wang
Yue Cao
Yangzhou Liu
...
Jinguo Zhu
X. Zhu
Lewei Lu
Yu Qiao
Jifeng Dai
LRM
62
46
1
15 Nov 2024
Self-Masking Networks for Unsupervised Adaptation
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam
Mathilde Caron
Yuki M. Asano
43
1
0
11 Sep 2024
Multi-Modal Adapter for Vision-Language Models
Multi-Modal Adapter for Vision-Language Models
Dominykas Seputis
Serghei Mihailov
Soham Chatterjee
Zehao Xiao
VLM
28
1
0
03 Sep 2024
CROME: Cross-Modal Adapters for Efficient Multimodal LLM
CROME: Cross-Modal Adapters for Efficient Multimodal LLM
Sayna Ebrahimi
Sercan Ö. Arik
Tejas Nama
Tomas Pfister
44
1
0
13 Aug 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
Yuqi Jiang
Xudong Lu
Qian Jin
Qi Sun
Hanming Wu
Cheng Zhuo
36
5
0
15 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
47
4
0
07 Jul 2024
Hypernetworks for Personalizing ASR to Atypical Speech
Hypernetworks for Personalizing ASR to Atypical Speech
Max Müller-Eberstein
Dianna Yee
Karren D. Yang
G. Mantena
Colin S. Lea
33
0
0
06 Jun 2024
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for
  Retrieval-Augmented Large Language Models
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
Yutao Zhu
Zhaoheng Huang
Zhicheng Dou
Ji-Rong Wen
RALM
56
5
0
30 May 2024
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
Mingrui Ma
Yu Yang
LM&MA
34
2
0
29 May 2024
No Train but Gain: Language Arithmetic for training-free Language
  Adapters enhancement
No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
Mateusz Klimaszewski
Piotr Andruszkiewicz
Alexandra Birch
MoMe
42
4
0
24 Apr 2024
ColA: Collaborative Adaptation with Gradient Learning
ColA: Collaborative Adaptation with Gradient Learning
Enmao Diao
Qi Le
Suya Wu
Xinran Wang
Ali Anwar
Jie Ding
Vahid Tarokh
24
1
0
22 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
80
12
0
15 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into
  Data Generation, Volume, and Utilization
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
30
4
0
28 Mar 2024
A Modular Approach for Multimodal Summarization of TV Shows
A Modular Approach for Multimodal Summarization of TV Shows
Louis Mahon
Mirella Lapata
23
9
0
06 Mar 2024
Exploration of Adapter for Noise Robust Automatic Speech Recognition
Exploration of Adapter for Noise Robust Automatic Speech Recognition
Hao Shi
Tatsuya Kawahara
35
5
0
28 Feb 2024
ISCUTE: Instance Segmentation of Cables Using Text Embedding
ISCUTE: Instance Segmentation of Cables Using Text Embedding
Shir Kozlovsky
O. Joglekar
Dotan Di Castro
32
2
0
19 Feb 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
21
0
0
29 Jan 2024
Chain of History: Learning and Forecasting with LLMs for Temporal
  Knowledge Graph Completion
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
Ruilin Luo
Tianle Gu
Haoling Li
Junzhe Li
Zicheng Lin
Jiayi Li
Yujiu Yang
AI4CE
26
7
0
11 Jan 2024
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on
  Software Engineering Tasks
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
Wentao Zou
Qi Li
Jidong Ge
Chuanyi Li
Xiaoyu Shen
LiGuo Huang
Bin Luo
24
5
0
25 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot
  classification
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Victor G. Turrisi da Costa
Nicola Dall’Asen
Yiming Wang
N. Sebe
Elisa Ricci
38
3
0
05 Dec 2023
Language and Task Arithmetic with Parameter-Efficient Layers for
  Zero-Shot Summarization
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization
Alexandra Chronopoulou
Jonas Pfeiffer
Joshua Maynez
Xinyi Wang
Sebastian Ruder
Priyanka Agrawal
MoMe
24
14
0
15 Nov 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine
  Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation
  Models with Mobile Edge Computing
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing
Terence Jie Chua
Wen-li Yu
Junfeng Zhao
Kwok-Yan Lam
FedML
24
5
0
26 Oct 2023
Cascaded Multi-task Adaptive Learning Based on Neural Architecture
  Search
Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search
Yingying Gao
Shilei Zhang
Zihao Cui
Chao Deng
Junlan Feng
15
0
0
23 Oct 2023
Towards a General Framework for Continual Learning with Pre-training
Towards a General Framework for Continual Learning with Pre-training
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
29
3
0
21 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Jindong Wang
Qiang Yang
Zhi-Hong Mao
Ye Ye
22
4
0
12 Oct 2023
AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation
AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation
Liyang Chen
Weihong Bao
Shunwei Lei
Boshi Tang
Zhiyong Wu
Shiyin Kang
Haozhi Huang
Helen M. Meng
35
1
0
11 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for
  medical image analysis
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
Ece Ozkan
Xavier Boix
OOD
28
0
0
10 Oct 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis
NOLA: Compressing LoRA using Linear Combination of Random Basis
Soroush Abbasi Koohpayegani
K. Navaneet
Parsa Nooralinejad
Soheil Kolouri
Hamed Pirsiavash
40
12
0
04 Oct 2023
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
42
6
0
21 Sep 2023
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Boshko Koloski
Blaž Škrlj
Marko Robnik-Šikonja
Senja Pollak
CLL
19
2
0
12 Sep 2023
IncreLoRA: Incremental Parameter Allocation Method for
  Parameter-Efficient Fine-tuning
IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
Feiyu F. Zhang
Liangzhi Li
Jun-Cheng Chen
Zhouqian Jiang
Bowen Wang
Yiming Qian
43
32
0
23 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
21
9
0
18 Aug 2023
KIT's Multilingual Speech Translation System for IWSLT 2023
KIT's Multilingual Speech Translation System for IWSLT 2023
Danni Liu
Thai-Binh Nguyen
Sai Koneru
Enes Yavuz Ugan
Ngoc-Quan Pham
Tuan-Nam Nguyen
Tu Anh Dinh
Carlos Mullov
A. Waibel
J. Niehues
18
6
0
08 Jun 2023
Adaptive Fake Audio Detection with Low-Rank Model Squeezing
Adaptive Fake Audio Detection with Low-Rank Model Squeezing
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenlong Wang
Le Xu
Ruibo Fu
26
6
0
08 Jun 2023
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity
  Matching using Adapter-tuning
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning
John Bosco Mugeni
S. Lynden
Toshiyuki Amagasa
Akiyoshi Matono
18
2
0
30 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge
Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
...
Gozde Sahin
Shuo Ni
Kiran Lekkala
S. Sontakke
Laurent Itti
CLL
19
10
0
24 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
32
2
0
23 May 2023
VLAB: Enhancing Video Language Pre-training by Feature Adapting and
  Blending
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending
Xingjian He
Sihan Chen
Fan Ma
Zhicheng Huang
Xiaojie Jin
Zikang Liu
Dongmei Fu
Yi Yang
J. Liu
Jiashi Feng
VLM
CLIP
18
17
0
22 May 2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
Chia-Chien Hung
Lukas Lange
Jannik Strötgen
20
9
0
22 May 2023
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
18
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
22
50
0
14 May 2023
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