ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.09106
  4. Cited By
HyperNetworks

HyperNetworks

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

Papers citing "HyperNetworks"

50 / 285 papers shown
Title
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Learning One Abstract Bit at a Time Through Self-Invented Experiments
  Encoded as Neural Networks
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks
Vincent Herrmann
Louis Kirsch
Jürgen Schmidhuber
AI4CE
43
4
0
29 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
36
3
0
22 Dec 2022
StyleTRF: Stylizing Tensorial Radiance Fields
StyleTRF: Stylizing Tensorial Radiance Fields
Rahul Goel
Dhawal Sirikonda
Saurabh Saini
P. J. Narayanan
27
2
0
19 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch
James Harrison
Jascha Narain Sohl-Dickstein
Luke Metz
31
72
0
08 Dec 2022
Improving Pareto Front Learning via Multi-Sample Hypernetworks
Improving Pareto Front Learning via Multi-Sample Hypernetworks
L. P. Hoang
Dung D. Le
Tuan A. Tran
Thang Tran Ngoc
12
24
0
02 Dec 2022
Generalizable Implicit Neural Representations via Instance Pattern
  Composers
Generalizable Implicit Neural Representations via Instance Pattern Composers
Chiheon Kim
Doyup Lee
Saehoon Kim
Minsu Cho
Wook-Shin Han
AI4CE
20
24
0
23 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning
  Few-Shot Meta-Learners
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
E. T. Oldewage
J. Bronskill
Richard E. Turner
16
3
0
23 Nov 2022
Psychophysiology-aided Perceptually Fluent Speech Analysis of Children Who Stutter
Psychophysiology-aided Perceptually Fluent Speech Analysis of Children Who Stutter
Y. Xiao
Harshit Sharma
V. Tumanova
Asif Salekin
32
0
0
16 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
Jingang Qu
T. Faney
Zehao Wang
Patrick Gallinari
Soleiman Yousef
J. D. Hemptinne
OOD
21
7
0
15 Nov 2022
Implicit Graphon Neural Representation
Implicit Graphon Neural Representation
Xinyue Xia
Gal Mishne
Yusu Wang
GNN
AI4CE
34
4
0
07 Nov 2022
Learning-based Inverse Rendering of Complex Indoor Scenes with
  Differentiable Monte Carlo Raytracing
Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing
Jingsen Zhu
Fujun Luan
Yuchi Huo
Zihao Lin
Zhihua Zhong
Dianbing Xi
Jiaxiang Zheng
Rui Tang
Hujun Bao
Rui Wang
3DV
29
47
0
06 Nov 2022
HyperSound: Generating Implicit Neural Representations of Audio Signals
  with Hypernetworks
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks
Filip Szatkowski
Karol J. Piczak
P. Spurek
Jacek Tabor
Tomasz Trzciñski
23
12
0
03 Nov 2022
FedTP: Federated Learning by Transformer Personalization
FedTP: Federated Learning by Transformer Personalization
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
FedML
32
59
0
03 Nov 2022
Modelling black-box audio effects with time-varying feature modulation
Modelling black-box audio effects with time-varying feature modulation
Marco Comunità
C. Steinmetz
Huy Phan
Joshua D. Reiss
41
14
0
01 Nov 2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
Matthew D. Hoffman
T. Le
Pavel Sountsov
Christopher Suter
Ben Lee
Vikash K. Mansinghka
Rif A. Saurous
BDL
29
12
0
27 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution
  Generalization
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
K. Pham
Hung Le
Man Ngo
T. Tran
OODD
30
1
0
23 Oct 2022
Boosting Natural Language Generation from Instructions with
  Meta-Learning
Boosting Natural Language Generation from Instructions with Meta-Learning
Budhaditya Deb
Guoqing Zheng
Ahmed Hassan Awadallah
24
13
0
20 Oct 2022
Hypernetworks in Meta-Reinforcement Learning
Hypernetworks in Meta-Reinforcement Learning
Jacob Beck
Matthew Jackson
Risto Vuorio
Shimon Whiteson
OffRL
21
30
0
20 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of
  single-task models
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
Nikolaos Dimitriadis
P. Frossard
Franccois Fleuret
16
25
0
18 Oct 2022
NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera
  Intrinsics
NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics
Ryan-Rhys Griffiths
J. Naylor
D. Dansereau
25
1
0
14 Oct 2022
Multi-Object Navigation with dynamically learned neural implicit
  representations
Multi-Object Navigation with dynamically learned neural implicit representations
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
27
23
0
11 Oct 2022
Multi-Modal Fusion by Meta-Initialization
Multi-Modal Fusion by Meta-Initialization
Matthew Jackson
Shreshth A. Malik
Michael T. Matthews
Yousuf Mohamed-Ahmed
26
0
0
10 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati
Lior Wolf
DiffM
20
8
0
02 Oct 2022
Parameter-varying neural ordinary differential equations with
  partition-of-unity networks
Parameter-varying neural ordinary differential equations with partition-of-unity networks
Kookjin Lee
N. Trask
22
2
0
01 Oct 2022
HyperHawkes: Hypernetwork based Neural Temporal Point Process
HyperHawkes: Hypernetwork based Neural Temporal Point Process
Manisha Dubey
P. K. Srijith
M. Desarkar
AI4TS
115
1
0
01 Oct 2022
Efficiently Learning Small Policies for Locomotion and Manipulation
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde
Gaurav Sukhatme
22
3
0
30 Sep 2022
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with
  Latest Weight Averaging
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging
Jean Kaddour
MoMe
3DH
19
39
0
29 Sep 2022
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View
  Synthesis
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis
Xingyi Li
Chaoyi Hong
Yiran Wang
Z. Cao
Ke Xian
Guosheng Lin
29
18
0
29 Sep 2022
Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding
Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding
Pedro Figueiredo
Avinash Paliwal
N. Kalantari
34
6
0
27 Sep 2022
Unsupervisedly Prompting AlphaFold2 for Few-Shot Learning of Accurate
  Folding Landscape and Protein Structure Prediction
Unsupervisedly Prompting AlphaFold2 for Few-Shot Learning of Accurate Folding Landscape and Protein Structure Prediction
Jun Zhang
Sirui Liu
Mengyun Chen
Haotian Chu
Min Wang
...
Y. Yang
Boxin Xue
Lijiang Yang
Yuan Liu
Y. Gao
20
5
0
20 Aug 2022
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork
Xin Yuan
Zhe-nan Lin
Jason Kuen
Jianming Zhang
John Collomosse
27
5
0
17 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
31
18
0
17 Aug 2022
HyperNST: Hyper-Networks for Neural Style Transfer
HyperNST: Hyper-Networks for Neural Style Transfer
Dan Ruta
Andrew Gilbert
Saeid Motiian
Baldo Faieta
Zhe-nan Lin
John Collomosse
27
7
0
09 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen
Xiaolong Wang
AI4CE
24
60
0
04 Aug 2022
Neural Implicit Dictionary via Mixture-of-Expert Training
Neural Implicit Dictionary via Mixture-of-Expert Training
Peihao Wang
Zhiwen Fan
Tianlong Chen
Zhangyang Wang
22
12
0
08 Jul 2022
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
Jiajia Guo
Chao-Kai Wen
Shi Jin
Geoffrey Ye Li
31
146
0
29 Jun 2022
ContraReg: Contrastive Learning of Multi-modality Unsupervised
  Deformable Image Registration
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
Neel Dey
Jo Schlemper
S. Salehi
Bo Zhou
Guido Gerig
M. Sofka
MedIm
25
16
0
27 Jun 2022
On Efficient Real-Time Semantic Segmentation: A Survey
On Efficient Real-Time Semantic Segmentation: A Survey
Christopher J. Holder
Muhammad Shafique
SSeg
18
20
0
17 Jun 2022
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications
  for Remote Inference
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference
Jiechen Chen
N. Skatchkovsky
Osvaldo Simeone
29
36
0
13 Jun 2022
NOMAD: Nonlinear Manifold Decoders for Operator Learning
NOMAD: Nonlinear Manifold Decoders for Operator Learning
Jacob H. Seidman
Georgios Kissas
P. Perdikaris
George J. Pappas
AI4CE
29
68
0
07 Jun 2022
Neural Differential Equations for Learning to Program Neural Nets
  Through Continuous Learning Rules
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie
Francesco Faccio
Jürgen Schmidhuber
AI4TS
33
11
0
03 Jun 2022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
D. Zimny
Joanna Waczyñska
Tomasz Trzciñski
P. Spurek
32
18
0
02 Jun 2022
Continual learning on 3D point clouds with random compressed rehearsal
Continual learning on 3D point clouds with random compressed rehearsal
M. Zamorski
Michal Stypulkowski
Konrad Karanowski
Tomasz Trzciñski
Maciej Ziȩba
3DPC
19
9
0
16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial
  Attacks
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
Siddhartha Datta
AAML
32
4
0
15 May 2022
Fast Conditional Network Compression Using Bayesian HyperNetworks
Fast Conditional Network Compression Using Bayesian HyperNetworks
Phuoc Nguyen
T. Tran
Ky Le
Sunil R. Gupta
Santu Rana
Dang Nguyen
Trong Nguyen
S. Ryan
Svetha Venkatesh
BDL
30
6
0
13 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie M. Zhang
Song Guo
Wenchao Xu
FedML
22
170
0
09 May 2022
HyperNCA: Growing Developmental Networks with Neural Cellular Automata
HyperNCA: Growing Developmental Networks with Neural Cellular Automata
Elias Najarro
Shyam Sudhakaran
Claire Glanois
S. Risi
24
12
0
25 Apr 2022
Learning Theory of Mind via Dynamic Traits Attribution
Learning Theory of Mind via Dynamic Traits Attribution
D. Nguyen
Phuoc Nguyen
Hung Le
Kien Do
Svetha Venkatesh
T. Tran
12
5
0
17 Apr 2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language
  Models
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Rabeeh Karimi Mahabadi
Luke Zettlemoyer
James Henderson
Marzieh Saeidi
Lambert Mathias
Ves Stoyanov
Majid Yazdani
VLM
31
69
0
03 Apr 2022
Previous
123456
Next