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Scale-Space Hypernetworks for Efficient Biomedical Imaging
v1v2 (latest)

Scale-Space Hypernetworks for Efficient Biomedical Imaging

11 April 2023
Jose Javier Gonzalez Ortiz
John Guttag
Adrian Dalca
ArXiv (abs)PDFHTML

Papers citing "Scale-Space Hypernetworks for Efficient Biomedical Imaging"

42 / 42 papers shown
Title
Principled Weight Initialization for Hypernetworks
Principled Weight Initialization for Hypernetworks
Oscar Chang
Lampros Flokas
Hod Lipson
79
77
0
13 Dec 2023
Learning strides in convolutional neural networks
Learning strides in convolutional neural networks
Rachid Riad
O. Teboul
David Grangier
Neil Zeghidour
75
42
0
03 Feb 2022
Editing Factual Knowledge in Language Models
Editing Factual Knowledge in Language Models
Nicola De Cao
Wilker Aziz
Ivan Titov
KELM
136
513
0
16 Apr 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
286
1,055
0
06 Mar 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation
A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot
Douglas N. Greve
Koen van Leemput
Bruce Fischl
Juan Eugenio Iglesias
Adrian Dalca
70
77
0
04 Mar 2020
Squeeze-and-Attention Networks for Semantic Segmentation
Squeeze-and-Attention Networks for Semantic Segmentation
Zilong Zhong
Z. Q. Lin
Rene Bidart
Xiaodan Hu
Ibrahim Ben Daya
Zhifeng Li
Wei-Shi Zheng
Jonathan Li
A. Wong
SSeg
79
236
0
08 Sep 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio
  voice conversion
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
Joan Serrà
Santiago Pascual
Carlos Segura
CVBM
76
85
0
03 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworks
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
90
363
0
03 Jun 2019
On Network Design Spaces for Visual Recognition
On Network Design Spaces for Visual Recognition
Ilija Radosavovic
Justin Johnson
Saining Xie
Wan-Yen Lo
Piotr Dollár
90
136
0
30 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
207
18,224
0
28 May 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu
Haoyuan Mu
Xiangyu Zhang
Zichao Guo
Xin Yang
K. Cheng
Jian Sun
90
563
0
25 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using
  Structured Best-Response Functions
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
M. Mackay
Paul Vicol
Jonathan Lorraine
David Duvenaud
Roger C. Grosse
97
164
0
07 Mar 2019
Hypernetwork functional image representation
Hypernetwork functional image representation
Sylwester Klocek
Lukasz Maziarka
Maciej Wołczyk
Jacek Tabor
Jakub Nowak
Marek Śmieja
SupR3DH
115
92
0
27 Feb 2019
The State of Sparsity in Deep Neural Networks
The State of Sparsity in Deep Neural Networks
Trevor Gale
Erich Elsen
Sara Hooker
167
763
0
25 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
132
2,311
0
17 Jan 2019
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image
  Segmentation
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Fabian Isensee
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
...
Jakob Wasserthal
Gregor Koehler
T. Norajitra
Sebastian J. Wirkert
Klaus H. Maier-Hein
SSeg
102
792
0
27 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image
  Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian Dalca
MedIm
123
1,582
0
14 Sep 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
165
5,081
0
11 Apr 2018
Stochastic Hyperparameter Optimization through Hypernetworks
Stochastic Hyperparameter Optimization through Hypernetworks
Jonathan Lorraine
David Duvenaud
84
140
0
26 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
495
13,215
0
07 Feb 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
170
3,148
0
15 Dec 2017
Bayesian Hypernetworks
Bayesian Hypernetworks
David M. Krueger
Chin-Wei Huang
Riashat Islam
Ryan Turner
Alexandre Lacoste
Aaron Courville
UQCVBDL
82
139
0
13 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
375
2,239
0
22 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
429
26,605
0
05 Sep 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
174
765
0
17 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
209
5,612
0
21 Jul 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
145
2,153
0
11 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
234
8,494
0
17 Jun 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML3DV
120
3,030
0
27 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
496
22,188
0
09 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,046
0
04 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
527
10,358
0
16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.5K
14,637
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
887
36,910
0
25 Aug 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
90
1,047
0
14 Aug 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
251
8,737
0
15 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
181
4,369
0
16 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,864
0
01 Oct 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
358
18,661
0
06 Feb 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
259
4,683
0
21 Dec 2014
Fractional Max-Pooling
Fractional Max-Pooling
Benjamin Graham
TPM
113
517
0
18 Dec 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
138
1,465
0
15 May 2014
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