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SpotTune: Transfer Learning through Adaptive Fine-tuning

SpotTune: Transfer Learning through Adaptive Fine-tuning

21 November 2018
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
ArXivPDFHTML

Papers citing "SpotTune: Transfer Learning through Adaptive Fine-tuning"

33 / 183 papers shown
Title
Custom Object Detection via Multi-Camera Self-Supervised Learning
Custom Object Detection via Multi-Camera Self-Supervised Learning
Yan Lu
Yuanchao Shu
11
3
0
05 Feb 2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object
  Detection
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Keren Ye
Adriana Kovashka
Mark Sandler
Menglong Zhu
Andrew G. Howard
Marco Fornoni
AAML
MQ
16
7
0
04 Jan 2021
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
31
0
0
16 Dec 2020
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
9
382
0
14 Dec 2020
$DA^3$:Dynamic Additive Attention Adaption for Memory-EfficientOn-Device
  Multi-Domain Learning
DA3DA^3DA3:Dynamic Additive Attention Adaption for Memory-EfficientOn-Device Multi-Domain Learning
Li Yang
Adnan Siraj Rakin
Deliang Fan
11
9
0
02 Dec 2020
Towards Accurate Knowledge Transfer via Target-awareness Representation
  Disentanglement
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
Xingjian Li
Di Hu
Xuhong Li
Haoyi Xiong
Zhiquan Ye
Zhipeng Wang
Chengzhong Xu
Dejing Dou
AAML
12
0
0
16 Oct 2020
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2
  Network
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network
Jialu Huang
Jing Liao
Sam Kwong
11
65
0
12 Oct 2020
Deep Anomaly Detection by Residual Adaptation
Deep Anomaly Detection by Residual Adaptation
Lucas Deecke
Lukas Ruff
Robert A. Vandermeulen
Hakan Bilen
UQCV
23
4
0
05 Oct 2020
Deep Transformers with Latent Depth
Deep Transformers with Latent Depth
Xian Li
Asa Cooper Stickland
Yuqing Tang
X. Kong
19
22
0
28 Sep 2020
Accelerating Multi-Model Inference by Merging DNNs of Different Weights
Accelerating Multi-Model Inference by Merging DNNs of Different Weights
Joo Seong Jeong
Soojeong Kim
Gyeong-In Yu
Yunseong Lee
Byung-Gon Chun
FedML
MoMe
AI4CE
6
7
0
28 Sep 2020
Routing Networks with Co-training for Continual Learning
Routing Networks with Co-training for Continual Learning
Mark Collier
Efi Kokiopoulou
Andrea Gesmundo
Jesse Berent
CLL
14
14
0
09 Sep 2020
Shape Adaptor: A Learnable Resizing Module
Shape Adaptor: A Learnable Resizing Module
Shikun Liu
Zhe-nan Lin
Yilin Wang
Jianming Zhang
Federico Perazzi
Edward Johns
17
8
0
03 Aug 2020
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge
  Report
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Jing Shi
Zhiheng Li
Haitian Zheng
Yihang Xu
Tianyou Xiao
...
R. Magnotti
A. Sexton
Jeet Thaker
Oscar Su
Chenliang Xu
10
1
0
01 Aug 2020
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
Yue Meng
Chung-Ching Lin
Rameswar Panda
P. Sattigeri
Leonid Karlinsky
A. Oliva
Kate Saenko
Rogerio Feris
15
141
0
31 Jul 2020
$n$-Reference Transfer Learning for Saliency Prediction
nnn-Reference Transfer Learning for Saliency Prediction
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
14
5
0
09 Jul 2020
Meta Transfer Learning for Emotion Recognition
Meta Transfer Learning for Emotion Recognition
Dung Nguyen
S. Sridharan
Duc Thanh Nguyen
Simon Denman
David Dean
Clinton Fookes
23
14
0
23 Jun 2020
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer
  Vision Systems
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
Leo F. Isikdogan
Bhavin V. Nayak
Chyuan-Tyng Wu
Joao Peralta Moreira
R. Sushma
G. Michael
8
7
0
12 Jun 2020
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in
  Fine-tuning of Deep Networks
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
Youngmin Ro
J. Choi
8
5
0
14 Feb 2020
Adaptation of a deep learning malignancy model from full-field digital
  mammography to digital breast tomosynthesis
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis
Sadanand Singh
Thomas P. Matthews
Meet Shah
Brent Mombourquette
Trevor Tsue
Aaron Long
Ranya Almohsen
S. Pedemonte
Jason Su
8
19
0
23 Jan 2020
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling
  and Recommendation
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Fajie Yuan
Xiangnan He
Alexandros Karatzoglou
Liguang Zhang
16
0
0
13 Jan 2020
Agriculture-Vision: A Large Aerial Image Database for Agricultural
  Pattern Analysis
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
M. Chiu
Xingqian Xu
Yunchao Wei
Zilong Huang
A. Schwing
...
David Wilson
Adrian Tudor
N. Hovakimyan
Thomas S. Huang
Humphrey Shi
35
152
0
05 Jan 2020
A Broader Study of Cross-Domain Few-Shot Learning
A Broader Study of Cross-Domain Few-Shot Learning
Yunhui Guo
Noel Codella
Leonid Karlinsky
James V. Codella
John R. Smith
Kate Saenko
Tajana Simunic
Rogerio Feris
28
45
0
16 Dec 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun
Rameswar Panda
Rogerio Feris
Kate Saenko
18
259
0
27 Nov 2019
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Yunhui Guo
Yandong Li
Liqiang Wang
Tajana Simunic
21
41
0
21 Nov 2019
Flexible Multi-task Networks by Learning Parameter Allocation
Flexible Multi-task Networks by Learning Parameter Allocation
Krzysztof Maziarz
Efi Kokiopoulou
Andrea Gesmundo
L. Sbaiz
Gábor Bartók
Jesse Berent
19
13
0
10 Oct 2019
Learning to Generalize One Sample at a Time with Self-Supervision
Learning to Generalize One Sample at a Time with Self-Supervision
A. DÍnnocente
S. Bucci
Barbara Caputo
Tatiana Tommasi
SSL
OOD
14
4
0
09 Oct 2019
Learning to Transfer Learn: Reinforcement Learning-Based Selection for
  Adaptive Transfer Learning
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning
Linchao Zhu
Sercan Ö. Arik
Yezhou Yang
Tomas Pfister
9
5
0
29 Aug 2019
Unsupervised Deep Feature Transfer for Low Resolution Image
  Classification
Unsupervised Deep Feature Transfer for Low Resolution Image Classification
Yuanwei Wu
Ziming Zhang
Guanghui Wang
9
22
0
27 Aug 2019
Budget-Aware Adapters for Multi-Domain Learning
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
N. Sebe
Elisa Ricci
OOD
14
41
0
15 May 2019
Online Adaptation through Meta-Learning for Stereo Depth Estimation
Online Adaptation through Meta-Learning for Stereo Depth Estimation
Zhenyu Zhang
Stéphane Lathuilière
Andrea Pilzer
N. Sebe
Elisa Ricci
Jian Yang
17
20
0
17 Apr 2019
Incremental multi-domain learning with network latent tensor
  factorization
Incremental multi-domain learning with network latent tensor factorization
Adrian Bulat
Jean Kossaifi
Georgios Tzimiropoulos
M. Pantic
CLL
11
34
0
12 Apr 2019
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
86
233
0
28 Feb 2017
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
177
524
0
27 Jun 2012
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