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Meta-Learning Sparse Implicit Neural Representations

Meta-Learning Sparse Implicit Neural Representations

27 October 2021
Jaehoon Lee
Jihoon Tack
Namhoon Lee
Jinwoo Shin
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Papers citing "Meta-Learning Sparse Implicit Neural Representations"

39 / 39 papers shown
Title
Adversarial Robustness in Parameter-Space Classifiers
Adversarial Robustness in Parameter-Space Classifiers
Tamir Shor
Ethan Fetaya
Chaim Baskin
A. Bronstein
AAML
OOD
377
0
0
27 Feb 2025
Geometric Neural Process Fields
Geometric Neural Process Fields
Wenzhe Yin
Zehao Xiao
Jiayi Shen
Yunlu Chen
Cees G. M. Snoek
Jan-Jakob Sonke
E. Gavves
AI4CE
76
0
0
04 Feb 2025
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Taesun Yeom
Sangyoon Lee
Jaeho Lee
73
3
0
07 Oct 2024
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Hui Xiong
Jiangmeng Li
106
1
0
13 Sep 2024
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
Huan Chen
Wangcai Zhao
Tingfa Xu
Shiyun Zhou
Peifu Liu
Jianan Li
70
21
0
02 Dec 2023
Modulated Periodic Activations for Generalizable Local Functional
  Representations
Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta
Michael Gharbi
Connelly Barnes
Eli Shechtman
R. Ramamoorthi
Manmohan Chandraker
41
153
0
08 Apr 2021
COIN: COmpression with Implicit Neural representations
COIN: COmpression with Implicit Neural representations
Emilien Dupont
Adam Goliñski
Milad Alizadeh
Yee Whye Teh
Arnaud Doucet
37
225
0
03 Mar 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
238
703
0
31 Jan 2021
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSL
SupR
CLL
54
668
0
16 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural
  Representations
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Matthew Tancik
B. Mildenhall
Terrance Wang
Divi Schmidt
Pratul P. Srinivasan
Jonathan T. Barron
Ren Ng
84
288
0
03 Dec 2020
Adversarial Generation of Continuous Images
Adversarial Generation of Continuous Images
Ivan Skorokhodov
Savva Ignatyev
Mohamed Elhoseiny
GAN
34
171
0
24 Nov 2020
Pruning Neural Networks at Initialization: Why are We Missing the Mark?
Pruning Neural Networks at Initialization: Why are We Missing the Mark?
Jonathan Frankle
Gintare Karolina Dziugaite
Daniel M. Roy
Michael Carbin
47
239
0
18 Sep 2020
Meta-Learning with Network Pruning
Meta-Learning with Network Pruning
Hongduan Tian
Bo Liu
Xiaotong Yuan
Qingshan Liu
27
27
0
07 Jul 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
84
2,384
0
18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
53
247
0
17 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
86
2,516
0
17 Jun 2020
Pruning neural networks without any data by iteratively conserving
  synaptic flow
Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka
D. Kunin
Daniel L. K. Yamins
Surya Ganguli
94
636
0
09 Jun 2020
State of the Art on Neural Rendering
State of the Art on Neural Rendering
A. Tewari
Ohad Fried
Justus Thies
Vincent Sitzmann
Stephen Lombardi
...
Christian Theobalt
Maneesh Agrawala
Eli Shechtman
Dan B. Goldman
Michael Zollhöfer
3DH
3DV
60
466
0
08 Apr 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
B. Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
87
2,601
0
19 Mar 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
320
979
0
10 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
222
545
0
08 Mar 2020
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon
Y. Lipman
3DPC
FedML
71
507
0
23 Nov 2019
What Do Compressed Deep Neural Networks Forget?
What Do Compressed Deep Neural Networks Forget?
Sara Hooker
Aaron Courville
Gregory Clark
Yann N. Dauphin
Andrea Frome
34
183
0
13 Nov 2019
A Signal Propagation Perspective for Pruning Neural Networks at
  Initialization
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Namhoon Lee
Thalaiyasingam Ajanthan
Stephen Gould
Philip Torr
AAML
55
152
0
14 Jun 2019
One ticket to win them all: generalizing lottery ticket initializations
  across datasets and optimizers
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos
Haonan Yu
Michela Paganini
Yuandong Tian
39
228
0
06 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC
3DV
142
1,274
0
04 Jun 2019
Learning Shape Templates with Structured Implicit Functions
Learning Shape Templates with Structured Implicit Functions
Kyle Genova
Forrester Cole
Daniel Vlasic
Aaron Sarna
William T. Freeman
Thomas Funkhouser
3DV
64
382
0
12 Apr 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
57
557
0
25 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
79
3,654
0
16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
218
2,875
0
10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE
3DV
101
1,619
0
06 Dec 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
25
1,460
0
11 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
192
1,190
0
04 Oct 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
157
3,433
0
09 Mar 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
199
2,226
0
08 Mar 2018
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
752
11,793
0
09 Mar 2017
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
151
78
0
19 Jul 2016
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
212
6,628
0
08 Jun 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
207
8,351
0
28 Nov 2014
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