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Side-Tuning: A Baseline for Network Adaptation via Additive Side
  Networks

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

31 December 2019
Jeffrey O. Zhang
Alexander Sax
Amir Zamir
Leonidas J. Guibas
Jitendra Malik
ArXivPDFHTML

Papers citing "Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks"

11 / 11 papers shown
Title
Breaking Neural Network Scaling Laws with Modularity
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy
Sunshine Jiang
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
OOD
52
2
0
09 Sep 2024
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
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
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
K. Mangalam
Rohin Garg
GAN
34
13
0
29 Dec 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma
Kevin J Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
38
76
0
25 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
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
35
36
0
17 Jan 2021
Technical Report: Auxiliary Tuning and its Application to Conditional
  Text Generation
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
Yoel Zeldes
Dan Padnos
Or Sharir
Barak Peleg
25
19
0
30 Jun 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELM
CLL
21
212
0
27 Apr 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
186
640
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
377
11,700
0
09 Mar 2017
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