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Big Transfer (BiT): General Visual Representation Learning

Big Transfer (BiT): General Visual Representation Learning

24 December 2019
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
    MQ
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Papers citing "Big Transfer (BiT): General Visual Representation Learning"

50 / 724 papers shown
Title
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for
  COVID-19 Screening With Chest Radiography
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography
Kai Ma
Pengcheng Xi
K. Habashy
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
ViT
MedIm
11
1
0
19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
51
71
0
19 Jul 2022
Discovering novel systemic biomarkers in photos of the external eye
Discovering novel systemic biomarkers in photos of the external eye
Boris Babenko
I. Traynis
Christina W. Chen
Preeti Singh
Akib A Uddin
...
Christopher Semturs
Jonathan Krause
A. Varadarajan
N. Hammel
Yun-hui Liu
22
1
0
19 Jul 2022
Progress and limitations of deep networks to recognize objects in
  unusual poses
Progress and limitations of deep networks to recognize objects in unusual poses
Amro Abbas
Stéphane Deny
OOD
AAML
13
17
0
16 Jul 2022
Is a Caption Worth a Thousand Images? A Controlled Study for
  Representation Learning
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning
Shibani Santurkar
Yann Dubois
Rohan Taori
Percy Liang
Tatsunori Hashimoto
CLIP
VLM
19
41
0
15 Jul 2022
Augmenting Softmax Information for Selective Classification with
  Out-of-Distribution Data
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data
Guoxuan Xia
C. Bouganis
OODD
11
27
0
15 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran
J. Liu
Michael W. Dusenberry
Du Phan
Mark Collier
...
D. Sculley
Y. Gal
Zoubin Ghahramani
Jasper Snoek
Balaji Lakshminarayanan
VLM
31
124
0
15 Jul 2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
22
75
0
14 Jul 2022
Benchmarking Omni-Vision Representation through the Lens of Visual
  Realms
Benchmarking Omni-Vision Representation through the Lens of Visual Realms
Yuanhan Zhang
Zhen-fei Yin
Jing Shao
Ziwei Liu
VLM
33
26
0
14 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Convolutional Bypasses Are Better Vision Transformer Adapters
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
10
131
0
14 Jul 2022
Language Modelling with Pixels
Language Modelling with Pixels
Phillip Rust
Jonas F. Lotz
Emanuele Bugliarello
Elizabeth Salesky
Miryam de Lhoneux
Desmond Elliott
VLM
30
46
0
14 Jul 2022
A Data-Based Perspective on Transfer Learning
A Data-Based Perspective on Transfer Learning
Saachi Jain
Hadi Salman
Alaa Khaddaj
Eric Wong
Sung Min Park
A. Madry
31
37
0
12 Jul 2022
Generalization to translation shifts: a study in architectures and
  augmentations
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
11
1
0
05 Jul 2022
Can we learn from developer mistakes? Learning to localize and repair
  real bugs from real bug fixes
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes
Cedric Richter
Heike Wehrheim
19
8
0
01 Jul 2022
On-Device Training Under 256KB Memory
On-Device Training Under 256KB Memory
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Chuang Gan
Song Han
MQ
25
194
0
30 Jun 2022
Automatic Generation of Product-Image Sequence in E-commerce
Automatic Generation of Product-Image Sequence in E-commerce
Xiaochuan Fan
Chi Zhang
Yong-Jie Yang
Yue Shang
Xueying Zhang
Zhen He
Yun Xiao
Bo Long
Lingfei Wu
20
4
0
26 Jun 2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Khoa D. Doan
Yingjie Lao
Peng Yang
Ping Li
AAML
25
21
0
24 Jun 2022
On the Importance and Applicability of Pre-Training for Federated
  Learning
On the Importance and Applicability of Pre-Training for Federated Learning
Hong-You Chen
Cheng-Hao Tu
Zi-hua Li
Hang Shen
Wei-Lun Chao
FedML
17
77
0
23 Jun 2022
Complementary datasets to COCO for object detection
Complementary datasets to COCO for object detection
Ali Borji
VLM
ObjD
15
3
0
23 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method
  for Black-box Models
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models
Liu Zhendong
Wenyu Jiang
Yan Zhang
Chongjun Wang
CML
6
0
0
22 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image
  Classification
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Massimiliano Patacchiola
J. Bronskill
Aliaksandra Shysheya
Katja Hofmann
Sebastian Nowozin
Richard E. Turner
VLM
24
9
0
20 Jun 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
28
77
0
17 Jun 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 E. Turner
3DH
FedML
38
27
0
17 Jun 2022
Learning Using Privileged Information for Zero-Shot Action Recognition
Learning Using Privileged Information for Zero-Shot Action Recognition
Zhiyi Gao
Yonghong Hou
Wanqing Li
Zihui Guo
Ting Yu
21
2
0
17 Jun 2022
Zero-Shot AutoML with Pretrained Models
Zero-Shot AutoML with Pretrained Models
Ekrem Öztürk
Fabio Ferreira
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
Frank Hutter
VLM
20
8
0
16 Jun 2022
Channel Importance Matters in Few-Shot Image Classification
Channel Importance Matters in Few-Shot Image Classification
Xu Luo
Jing Xu
Zenglin Xu
VLM
22
42
0
16 Jun 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World
  Videos
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
Gamaleldin F. Elsayed
Aravindh Mahendran
Sjoerd van Steenkiste
Klaus Greff
Michael C. Mozer
Thomas Kipf
VOS
OCL
49
137
0
15 Jun 2022
A Unified Sequence Interface for Vision Tasks
A Unified Sequence Interface for Vision Tasks
Ting-Li Chen
Saurabh Saxena
Lala Li
Tsung-Yi Lin
David J. Fleet
Geoffrey E. Hinton
VLM
MLLM
11
148
0
15 Jun 2022
Differentiable Top-k Classification Learning
Differentiable Top-k Classification Learning
Felix Petersen
Hilde Kuehne
Christian Borgelt
Oliver Deussen
49
28
0
15 Jun 2022
On Data Scaling in Masked Image Modeling
On Data Scaling in Masked Image Modeling
Zhenda Xie
Zheng-Wei Zhang
Yue Cao
Yutong Lin
Yixuan Wei
Qi Dai
Han Hu
29
52
0
09 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
21
71
0
08 Jun 2022
Robust Calibration with Multi-domain Temperature Scaling
Robust Calibration with Multi-domain Temperature Scaling
Yaodong Yu
Stephen Bates
Yi-An Ma
Michael I. Jordan
OOD
UQCV
13
33
0
06 Jun 2022
Distilling Knowledge from Object Classification to Aesthetics Assessment
Distilling Knowledge from Object Classification to Aesthetics Assessment
Jingwen Hou
Henghui Ding
Weisi Lin
Weide Liu
Yuming Fang
8
35
0
02 Jun 2022
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker
  Assumptions and Communication Compression as a Cherry on the Top
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
Eduard A. Gorbunov
Samuel Horváth
Peter Richtárik
Gauthier Gidel
AAML
19
0
0
01 Jun 2022
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on
  Small Datasets
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets
Leandro M. de Lima
R. Krohling
ViT
MedIm
28
10
0
30 May 2022
Object-wise Masked Autoencoders for Fast Pre-training
Object-wise Masked Autoencoders for Fast Pre-training
Jiantao Wu
Shentong Mo
ViT
OCL
17
15
0
28 May 2022
GIT: A Generative Image-to-text Transformer for Vision and Language
GIT: A Generative Image-to-text Transformer for Vision and Language
Jianfeng Wang
Zhengyuan Yang
Xiaowei Hu
Linjie Li
Kevin Qinghong Lin
Zhe Gan
Zicheng Liu
Ce Liu
Lijuan Wang
VLM
29
527
0
27 May 2022
Sharpness-Aware Training for Free
Sharpness-Aware Training for Free
Jiawei Du
Daquan Zhou
Jiashi Feng
Vincent Y. F. Tan
Joey Tianyi Zhou
AAML
22
92
0
27 May 2022
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for
  Constrained Devices
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices
M. Dantas
I. R. R. Silva
A. T. O. Filho
Gibson B. N. Barbosa
Daniel Bezerra
D. Sadok
J. Kelner
M. Marquezini
Ricardo F. D. Silva
17
1
0
26 May 2022
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of
  Hierarchical Vision Transformers
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers
Jihao Liu
Xin Huang
Jinliang Zheng
Yu Liu
Hongsheng Li
30
53
0
26 May 2022
Trainable Weight Averaging: Accelerating Training and Improving Generalization
Trainable Weight Averaging: Accelerating Training and Improving Generalization
Tao Li
Zhehao Huang
Yingwen Wu
Zhengbao He
Qinghua Tao
X. Huang
Chih-Jen Lin
MoMe
50
3
0
26 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
193
26
0
23 May 2022
How Useful are Gradients for OOD Detection Really?
How Useful are Gradients for OOD Detection Really?
Conor Igoe
Youngseog Chung
I. Char
J. Schneider
OODD
42
23
0
20 May 2022
The developmental trajectory of object recognition robustness: children
  are like small adults but unlike big deep neural networks
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks
Lukas Huber
Robert Geirhos
Felix Wichmann
48
16
0
20 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
24
36
0
20 May 2022
Global Contrast Masked Autoencoders Are Powerful Pathological
  Representation Learners
Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners
Hao Quan
Xingyu Li
Weixing Chen
Qun Bai
Mingchen Zou
Ruijie Yang
Tingting Zheng
R. Qi
Xin Gao
Xiaoyu Cui
MedIm
31
19
0
18 May 2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep
  Neural Network, a Survey
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
Paul Wimmer
Jens Mehnert
A. P. Condurache
DD
34
20
0
17 May 2022
Sparse Visual Counterfactual Explanations in Image Space
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDL
CML
30
26
0
16 May 2022
Simple Open-Vocabulary Object Detection with Vision Transformers
Simple Open-Vocabulary Object Detection with Vision Transformers
Matthias Minderer
A. Gritsenko
Austin Stone
Maxim Neumann
Dirk Weissenborn
...
Zhuoran Shen
Xiao Wang
Xiaohua Zhai
Thomas Kipf
N. Houlsby
ObjD
CLIP
VLM
ViT
OCL
8
307
0
12 May 2022
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