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A Powerful Generative Model Using Random Weights for the Deep Image
  Representation
v1v2 (latest)

A Powerful Generative Model Using Random Weights for the Deep Image Representation

15 June 2016
Kun He
Yan Wang
John E. Hopcroft
ArXiv (abs)PDFHTML

Papers citing "A Powerful Generative Model Using Random Weights for the Deep Image Representation"

44 / 44 papers shown
PianoBind: A Multimodal Joint Embedding Model for Pop-piano Music
PianoBind: A Multimodal Joint Embedding Model for Pop-piano Music
Hayeon Bang
Eunjin Choi
Seungheon Doh
Juhan Nam
105
0
0
04 Sep 2025
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
Mengyu Gao
Qiulei Dong
VLM
259
1
0
04 Sep 2025
Can Impressions of Music be Extracted from Thumbnail Images?
Can Impressions of Music be Extracted from Thumbnail Images?
Takashi Harada
Takehiro Motomitsu
Katsuhiko Hayashi
Yusuke Sakai
Hidetaka Kamigaito
269
0
0
05 Jan 2025
Untrained Perceptual Loss for image denoising of line-like structures in MR images
Untrained Perceptual Loss for image denoising of line-like structures in MR imagesPLoS ONE (PLoS ONE), 2024
Elisabeth Pfaehler
Daniel Pflugfelder
Hanno Scharr
232
0
0
08 Nov 2024
Contrastive Audio-Language Learning for Music
Contrastive Audio-Language Learning for MusicInternational Society for Music Information Retrieval Conference (ISMIR), 2022
Ilaria Manco
Emmanouil Benetos
Elio Quinton
Gyorgy Fazekas
269
62
0
25 Aug 2022
Adversarial Reprogramming Revisited
Adversarial Reprogramming RevisitedNeural Information Processing Systems (NeurIPS), 2022
Matthias Englert
R. Lazic
AAML
216
12
0
07 Jun 2022
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual
  Network for the DiCOVA Challenge 2021
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021
Jiangeng Chang
Shaoze Cui
Mengling Feng
157
6
0
11 Jul 2021
Random Embeddings and Linear Regression can Predict Protein Function
Random Embeddings and Linear Regression can Predict Protein Function
Tianyu Lu
Alex X. Lu
Alan M. Moses
SSL
121
5
0
25 Apr 2021
Neural Architecture Search of Deep Priors: Towards Continual Learning
  without Catastrophic Interference
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
UQCVBDL
153
7
0
14 Apr 2021
Gradient Kernel Regression
Gradient Kernel Regression
M. Calder
72
0
0
13 Apr 2021
Rethinking and Improving the Robustness of Image Style Transfer
Rethinking and Improving the Robustness of Image Style TransferComputer Vision and Pattern Recognition (CVPR), 2021
Pei Wang
Yijun Li
Nuno Vasconcelos
OOD
154
105
0
08 Apr 2021
Generic Perceptual Loss for Modeling Structured Output Dependencies
Generic Perceptual Loss for Modeling Structured Output DependenciesComputer Vision and Pattern Recognition (CVPR), 2021
Yifan Liu
Hao Chen
Yu Chen
Wei Yin
Chunhua Shen
142
39
0
18 Mar 2021
MC-LSTM: Mass-Conserving LSTM
MC-LSTM: Mass-Conserving LSTMInternational Conference on Machine Learning (ICML), 2021
Pieter-Jan Hoedt
Frederik Kratzert
D. Klotz
Christina Halmich
Markus Holzleitner
G. Nearing
Sepp Hochreiter
Günter Klambauer
254
70
0
13 Jan 2021
Gram Regularization for Multi-view 3D Shape Retrieval
Gram Regularization for Multi-view 3D Shape Retrieval
Zhaoqun Li
3DV
85
0
0
16 Nov 2020
High resolution neural texture synthesis with long range constraints
High resolution neural texture synthesis with long range constraints
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
3DV
280
9
0
04 Aug 2020
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random ConvolutionsInternational Conference on Learning Representations (ICLR), 2020
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OODAAML
383
246
0
25 Jul 2020
On the Learnability of Concepts: With Applications to Comparing Word
  Embedding Algorithms
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
Adam Sutton
N. Cristianini
133
8
0
17 Jun 2020
Texture Interpolation for Probing Visual Perception
Texture Interpolation for Probing Visual Perception
Jonathan Vacher
Aida Davila
A. Kohn
Ruben Coen-Cagli
OOD3DV
219
28
0
05 Jun 2020
How Powerful Are Randomly Initialized Pointcloud Set Functions?
How Powerful Are Randomly Initialized Pointcloud Set Functions?
Aditya Sanghi
P. Jayaraman
3DPC
122
3
0
11 Mar 2020
Error-feedback stochastic modeling strategy for time series forecasting
  with convolutional neural networks
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networksNeurocomputing (Neurocomputing), 2020
Xinze Zhang
Kun He
Yukun Bao
AI4TS
171
12
0
03 Feb 2020
Trajectory growth lower bounds for random sparse deep ReLU networks
Trajectory growth lower bounds for random sparse deep ReLU networksInternational Conference on Machine Learning and Applications (ICMLA), 2019
Ilan Price
Jared Tanner
143
5
0
25 Nov 2019
The HSIC Bottleneck: Deep Learning without Back-Propagation
The HSIC Bottleneck: Deep Learning without Back-PropagationAAAI Conference on Artificial Intelligence (AAAI), 2019
Kurt Wan-Duo Ma
J. P. Lewis
W. Kleijn
BDL
411
165
0
05 Aug 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Adam Gaier
David R Ha
OOD
226
255
0
11 Jun 2019
Image Synthesis and Style Transfer
Image Synthesis and Style Transfer
S. Phon-Amnuaisuk
GAN
75
1
0
15 Jan 2019
The Deep Weight Prior
The Deep Weight Prior
Andrei Atanov
Arsenii Ashukha
Kirill Struminsky
Dmitry Vetrov
Max Welling
BDL
232
37
0
16 Oct 2018
Confidential Inference via Ternary Model Partitioning
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
195
55
0
03 Jul 2018
Adversarial Reprogramming of Neural Networks
Adversarial Reprogramming of Neural NetworksInternational Conference on Learning Representations (ICLR), 2018
Gamaleldin F. Elsayed
Ian Goodfellow
Jascha Narain Sohl-Dickstein
OODAAML
199
198
0
28 Jun 2018
Synthesizing Diverse, High-Quality Audio Textures
Synthesizing Diverse, High-Quality Audio Textures
J. Antognini
Matt Hoffman
Ron J. Weiss
151
6
0
20 Jun 2018
Image classification and retrieval with random depthwise signed
  convolutional neural networks
Image classification and retrieval with random depthwise signed convolutional neural networks
Yunzhe Xue
Usman Roshan
OOD
249
2
0
15 Jun 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
406
975
0
03 Mar 2018
On Using Backpropagation for Speech Texture Generation and Voice
  Conversion
On Using Backpropagation for Speech Texture Generation and Voice ConversionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017
J. Chorowski
Ron J. Weiss
Rif A. Saurous
Samy Bengio
118
19
0
22 Dec 2017
The exploding gradient problem demystified - definition, prevalence,
  impact, origin, tradeoffs, and solutions
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
George Philipp
Basel Alomair
J. Carbonell
ODL
329
49
0
15 Dec 2017
The Local Dimension of Deep Manifold
The Local Dimension of Deep Manifold
Mengxiao Zhang
W. Wu
Yanren Zhang
Kun He
Tao Yu
Huan Long
John E. Hopcroft
FAtt
85
3
0
05 Nov 2017
Audio style transfer
Audio style transfer
Eric Grinstein
Ngoc Q. K. Duong
A. Ozerov
P. Pérez
253
71
0
31 Oct 2017
Flexible Prior Distributions for Deep Generative Models
Flexible Prior Distributions for Deep Generative Models
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
AI4CE
111
1
0
31 Oct 2017
CNN Fixations: An unraveling approach to visualize the discriminative
  image regions
CNN Fixations: An unraveling approach to visualize the discriminative image regions
Konda Reddy Mopuri
Utsav Garg
R. Venkatesh Babu
AAML
286
58
0
22 Aug 2017
Generator Reversal
Generator Reversal
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
AI4CE
103
2
0
28 Jul 2017
Towards Understanding the Invertibility of Convolutional Neural Networks
Towards Understanding the Invertibility of Convolutional Neural Networks
A. Gilbert
Yi Zhang
Kibok Lee
Xicheng Zhang
Honglak Lee
228
66
0
24 May 2017
Randomness in Deconvolutional Networks for Visual Representation
Randomness in Deconvolutional Networks for Visual Representation
Kun He
Jingbo Wang
Man Zhu
Yao Shu
Mengxiao Zhang
Pan Zhou
Liwei Wang
John E. Hopcroft
176
6
0
02 Apr 2017
Transformation-Grounded Image Generation Network for Novel 3D View
  Synthesis
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Eunbyung Park
Jimei Yang
Ersin Yumer
Duygu Ceylan
Alexander C. Berg
227
291
0
08 Mar 2017
Unifying local and non-local signal processing with graph CNNs
Unifying local and non-local signal processing with graph CNNs
Gilles Puy
Srdan Kitic
P. Pérez
GNN
128
16
0
24 Feb 2017
Deep Stochastic Configuration Networks with Universal Approximation
  Property
Deep Stochastic Configuration Networks with Universal Approximation Property
Dianhui Wang
Ming Li
BDL
166
6
0
18 Feb 2017
On Random Weights for Texture Generation in One Layer Neural Networks
On Random Weights for Texture Generation in One Layer Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016
Mihir Mongia
Kundan Kumar
Akram Erraqabi
Yoshua Bengio
76
6
0
19 Dec 2016
Fast Patch-based Style Transfer of Arbitrary Style
Fast Patch-based Style Transfer of Arbitrary Style
T. Chen
Mark Schmidt
291
394
0
13 Dec 2016
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