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Efficient Multi-domain Text Recognition Deep Neural Network
  Parameterization with Residual Adapters

Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters

1 January 2024
Jiayou Chao
Wei Zhu
ArXiv (abs)PDFHTML

Papers citing "Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters"

15 / 15 papers shown
Title
Vision Transformer Adapters for Generalizable Multitask Learning
Vision Transformer Adapters for Generalizable Multitask Learning
Deblina Bhattacharjee
Sabine Süsstrunk
Mathieu Salzmann
ViT
74
8
0
23 Aug 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of
  Large Language Models
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Zhiqiang Hu
Lei Wang
Yihuai Lan
Wanyu Xu
Ee-Peng Lim
Lidong Bing
Xing Xu
Soujanya Poria
Roy Ka-wei Lee
ALM
117
272
0
04 Apr 2023
Auto-Lambda: Disentangling Dynamic Task Relationships
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
110
75
0
07 Feb 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model
  Tuning
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Yuning Mao
Lambert Mathias
Rui Hou
Amjad Almahairi
Hao Ma
Jiawei Han
Wen-tau Yih
Madian Khabsa
68
193
0
14 Oct 2021
Cross-lingual Text Classification with Heterogeneous Graph Neural
  Network
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
ZiYun Wang
Xuan Liu
Pei-Yin Yang
Shixing Liu
Zhisheng Wang
61
32
0
24 May 2021
Memory Efficient Class-Incremental Learning for Image Classification
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLLVLM
71
74
0
04 Aug 2020
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
161
2,833
0
15 Jun 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
185
940
0
22 May 2017
Adversarial Multi-task Learning for Text Classification
Adversarial Multi-task Learning for Text Classification
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
140
612
0
19 Apr 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,587
0
02 Dec 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
83
2,465
0
15 Jun 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,204
0
16 Mar 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
392
9,527
0
28 May 2015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
161
1,455
0
21 Dec 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
286
12,467
0
24 Jun 2012
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