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HyperNetworks

HyperNetworks

27 September 2016
David R Ha
Andrew M. Dai
Quoc V. Le
ArXivPDFHTML

Papers citing "HyperNetworks"

50 / 286 papers shown
Title
Learning the Effect of Registration Hyperparameters with HyperMorph
Learning the Effect of Registration Hyperparameters with HyperMorph
Andrew Hoopes
Malte Hoffmann
Douglas N. Greve
Bruce Fischl
John Guttag
Adrian V. Dalca
28
38
0
30 Mar 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate
  Prediction
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
Bencheng Yan
Pengjie Wang
Kai Zhang
Feng Li
Hongbo Deng
Jian Xu
Bo Zheng
19
20
0
30 Mar 2022
Hyperdecoders: Instance-specific decoders for multi-task NLP
Hyperdecoders: Instance-specific decoders for multi-task NLP
Hamish Ivison
Matthew E. Peters
AI4CE
26
20
0
15 Mar 2022
Uncertainty Estimation for Language Reward Models
Uncertainty Estimation for Language Reward Models
Adam Gleave
G. Irving
UQLM
29
31
0
14 Mar 2022
Integrating Dependency Tree Into Self-attention for Sentence
  Representation
Integrating Dependency Tree Into Self-attention for Sentence Representation
Junhua Ma
Jiajun Li
Yuxuan Liu
Shangbo Zhou
Xue Li
24
2
0
11 Mar 2022
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both
  Language and Vision-and-Language Tasks
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks
Zhengkun Zhang
Wenya Guo
Xiaojun Meng
Yasheng Wang
Yadao Wang
Xin Jiang
Qun Liu
Zhenglu Yang
28
15
0
08 Mar 2022
Dynamic MLP for Fine-Grained Image Classification by Leveraging
  Geographical and Temporal Information
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information
Lingfeng Yang
Xiang Li
Renjie Song
Borui Zhao
J. Tao
Shihao Zhou
Jiajun Liang
Jian Yang
24
37
0
07 Mar 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork
Computing Multiple Image Reconstructions with a Single Hypernetwork
Alan Q. Wang
Adrian V. Dalca
M. Sabuncu
38
8
0
22 Feb 2022
Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
30
24
0
20 Jan 2022
How to Backdoor HyperNetwork in Personalized Federated Learning?
How to Backdoor HyperNetwork in Personalized Federated Learning?
Phung Lai
Nhathai Phan
Issa M. Khalil
Abdallah Khreishah
Xintao Wu
AAML
FedML
23
0
0
18 Jan 2022
Audio-Driven Talking Face Video Generation with Dynamic Convolution
  Kernels
Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels
Zipeng Ye
Mengfei Xia
Ran Yi
Juyong Zhang
Yu-Kun Lai
Xuanteng Huang
Guoxin Zhang
Yong-jin Liu
CVBM
22
39
0
16 Jan 2022
Active Predictive Coding Networks: A Neural Solution to the Problem of
  Learning Reference Frames and Part-Whole Hierarchies
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies
Dimitrios C. Gklezakos
Rajesh P. N. Rao
22
11
0
14 Jan 2022
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
Carlos Rodriguez-Pardo
Elena Garces
GAN
12
24
0
13 Jan 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information
  Bottleneck in Multi-Agent Reinforcement Learning
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
Qi Tian
Kun Kuang
Baoxiang Wang
Furui Liu
Fei Wu
24
0
0
20 Dec 2021
Event-Aware Multimodal Mobility Nowcasting
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang
Renhe Jiang
Hao Xue
Flora D. Salim
Xuan Song
Ryosuke Shibasaki
32
35
0
14 Dec 2021
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
Tan M. Dinh
Anh Tran
Rang Nguyen
Binh-Son Hua
31
116
0
01 Dec 2021
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
Yuval Alaluf
Omer Tov
Ron Mokady
Rinon Gal
Amit H. Bermano
46
265
0
30 Nov 2021
Neural Fields in Visual Computing and Beyond
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
49
613
0
22 Nov 2021
Learning Signal-Agnostic Manifolds of Neural Fields
Learning Signal-Agnostic Manifolds of Neural Fields
Yilun Du
Katherine M. Collins
J. Tenenbaum
Vincent Sitzmann
MedIm
21
47
0
11 Nov 2021
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural
  Network for MR Image Reconstruction using Dynamic Weight Prediction
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Sriprabha Ramanarayanan
Balamurali Murugesan
Keerthi Ram
M. Sivaprakasam
24
8
0
09 Nov 2021
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with
  Constraints
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints
Soumyajit Gupta
Gurpreet Singh
Raghu Bollapragada
Matthew Lease
30
4
0
28 Oct 2021
HyperPINN: Learning parameterized differential equations with
  physics-informed hypernetworks
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks
Filipe de Avila Belbute-Peres
Yi-fan Chen
Fei Sha
PINN
14
38
0
28 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural
  Network Weights for Model Characteristic Prediction
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
Damian Borth
SSL
19
14
0
28 Oct 2021
Node-wise Localization of Graph Neural Networks
Node-wise Localization of Graph Neural Networks
Zemin Liu
Yuan Fang
Chenghao Liu
S. Hoi
19
25
0
27 Oct 2021
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers
Jonah Casebeer
Nicholas J. Bryan
Paris Smaragdis
14
10
0
08 Oct 2021
Meta Internal Learning
Meta Internal Learning
Raphael Bensadoun
Shir Gur
Tomer Galanti
Lior Wolf
GAN
23
8
0
06 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Image Synthesis via Semantic Composition
Image Synthesis via Semantic Composition
Yi Wang
Lu Qi
Ying-Cong Chen
X. Zhang
Jiaya Jia
181
61
0
15 Sep 2021
Patient Outcome and Zero-shot Diagnosis Prediction with
  Hypernetwork-guided Multitask Learning
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
Shaoxiong Ji
Pekka Marttinen
19
5
0
07 Sep 2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation
  Discretization
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
Huiqun Wang
Ruijie Yang
Di Huang
Yunhong Wang
16
27
0
25 Aug 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic
  Segmentation
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
Donghyeon Baek
Youngmin Oh
Bumsub Ham
21
77
0
14 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer
  Them
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang
Massimiliano Pontil
C. Ciliberto
VLM
32
17
0
09 Aug 2021
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image
  Translation
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation
Heran Yang
Jian Sun
Liwei Yang
Zongben Xu
MedIm
14
21
0
26 Jul 2021
LocalGLMnet: interpretable deep learning for tabular data
LocalGLMnet: interpretable deep learning for tabular data
Ronald Richman
M. Wüthrich
LMTD
FAtt
20
27
0
23 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
29
159
0
15 Jul 2021
Double-Uncertainty Guided Spatial and Temporal Consistency
  Regularization Weighting for Learning-based Abdominal Registration
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
Zhe Xu
Jie Luo
Donghuan Lu
Jiangpeng Yan
Sarah F. Frisken
J. Jagadeesan
W. Wells
Xiu Li
Yefeng Zheng
R. Tong
27
16
0
06 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image
  Classification
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
22
21
0
02 Jul 2021
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic
  Spectrum Access in Cognitive Radio Networks
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks
Xiang Tan
Li Zhou
Haijun Wang
Yuli Sun
Haitao Zhao
Boon-Chong Seet
Jibo Wei
Victor C. M. Leung
16
60
0
17 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie
Imanol Schlag
Róbert Csordás
Jürgen Schmidhuber
26
58
0
11 Jun 2021
Light Field Networks: Neural Scene Representations with
  Single-Evaluation Rendering
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann
Semon Rezchikov
William T. Freeman
J. Tenenbaum
F. Durand
3DV
43
287
0
04 Jun 2021
Hyper-Convolution Networks for Biomedical Image Segmentation
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma
Adrian V. Dalca
M. Sabuncu
SSeg
36
14
0
21 May 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
29
124
0
14 May 2021
3D Scene Compression through Entropy Penalized Neural Representation
  Functions
3D Scene Compression through Entropy Penalized Neural Representation Functions
Thomas Bird
Johannes Ballé
Saurabh Singh
P. Chou
33
30
0
26 Apr 2021
Editing Factual Knowledge in Language Models
Editing Factual Knowledge in Language Models
Nicola De Cao
Wilker Aziz
Ivan Titov
KELM
45
473
0
16 Apr 2021
Two-stage training algorithm for AI robot soccer
Two-stage training algorithm for AI robot soccer
Taeyoung Kim
L. Vecchietti
Kyujin Choi
Sanem Sariel
Dongsoo Har
21
6
0
13 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation
Contextual HyperNetworks for Novel Feature Adaptation
A. Lamb
Evgeny S. Saveliev
Yingzhen Li
Sebastian Tschiatschek
Camilla Longden
Simon Woodhead
José Miguel Hernández-Lobato
Richard E. Turner
Pashmina Cameron
Cheng Zhang
OOD
20
6
0
12 Apr 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Michael Ruchte
Josif Grabocka
24
58
0
24 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
33
23
0
17 Mar 2021
Revisiting Dynamic Convolution via Matrix Decomposition
Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Ye Yu
Lu Yuan
Zicheng Liu
Mei Chen
Nuno Vasconcelos
29
67
0
15 Mar 2021
VCNet and Functional Targeted Regularization For Learning Causal Effects
  of Continuous Treatments
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie
Mao Ye
Qiang Liu
D. Nicolae
CML
17
68
0
14 Mar 2021
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