HyperGAN: A Generative Model for Diverse, Performant Neural Networks

30 January 2019

Papers citing "HyperGAN: A Generative Model for Diverse, Performant Neural Networks"

25 / 25 papers shown

Title
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types Muhammad Umair Danish Katarina Grolinger AI4TS 95 3 0 07 Feb 2025
Towards Scalable and Versatile Weight Space Learning Konstantin Schurholt Michael W. Mahoney Damian Borth 55 16 0 14 Jun 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 39 2 0 21 May 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 55 15 0 22 Feb 2024
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 35 74 0 13 Dec 2023
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation Qi Wu David Bauer Yuyang Chen Kwan-Liu Ma 44 14 0 09 Apr 2023
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN Adam Kania Artur Kasymov Maciej Ziȩba Przemysław Spurek 43 9 0 27 Jan 2023
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains S. Kim Kyoungkook Kang Geon-Yeong Kim Seung-Hwan Baek Sunghyun Cho 32 19 0 26 Nov 2022
Meta-Ensemble Parameter Learning Zhengcong Fei Shuman Tian Junshi Huang Xiaoming Wei Xiaolin K. Wei OOD 49 2 0 05 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 65 29 0 29 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 75 65 0 26 Sep 2022
Federated Learning with Uncertainty via Distilled Predictive Distributions Shreyansh P. Bhatt Aishwarya Gupta Piyush Rai FedML 39 11 0 15 Jun 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 31 2 0 18 Apr 2022
Learning the Effect of Registration Hyperparameters with HyperMorph Andrew Hoopes Malte Hoffmann Douglas N. Greve Bruce Fischl John Guttag Adrian Dalca 35 39 0 30 Mar 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 32 6 0 07 Mar 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 33 68 0 11 Jan 2022
Meta Internal Learning Raphael Bensadoun Shir Gur Tomer Galanti Lior Wolf GAN 44 8 0 06 Oct 2021
Graceful Degradation and Related Fields J. Dymond 36 4 0 21 Jun 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 56 87 0 12 May 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 38 23 0 17 Mar 2021
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 38 826 0 20 Jan 2020
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 27 12 0 19 Nov 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014