Network Morphism

5 March 2016

Papers citing "Network Morphism"

24 / 24 papers shown

Title
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy T. Alderliesten Peter A. N. Bosman 29 0 0 28 Jul 2023
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation Xin Yuan Pedro H. P. Savarese Michael Maire 6 5 0 22 Jun 2023
Reparameterization through Spatial Gradient Scaling A. Detkov Mohammad Salameh Muhammad Fetrat Qharabagh Jialin Zhang Wei Lui Shangling Jui Di Niu 15 0 0 05 Mar 2023
A Classification of $G$ -invariant Shallow Neural Networks Devanshu Agrawal James Ostrowski 14 7 0 18 May 2022
Neural Architecture Search using Property Guided Synthesis Charles Jin P. Phothilimthana Sudip Roy 19 6 0 08 May 2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search Yameng Peng A. Song V. Ciesielski Haytham M. Fayek Xiaojun Chang 21 14 0 27 Apr 2022
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 16 46 0 28 Mar 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision T. Elsken Arber Zela J. H. Metzen B. Staffler Thomas Brox Abhinav Valada Frank Hutter OOD 28 17 0 15 Feb 2022
GROWN: GRow Only When Necessary for Continual Learning Li Yang Sen Lin Junshan Zhang Deliang Fan CLL 28 11 0 03 Oct 2021
On the Transformer Growth for Progressive BERT Training Xiaotao Gu Liyuan Liu Hongkun Yu Jing Li C. L. P. Chen Jiawei Han VLM 61 51 0 23 Oct 2020
AIPerf: Automated machine learning as an AI-HPC benchmark Zhixiang Ren Yongheng Liu Tianhui Shi Lei Xie Yue Zhou Jidong Zhai Youhui Zhang Yunquan Zhang Wenguang Chen 19 22 0 17 Aug 2020
Network Architecture Search for Domain Adaptation Yichen Li Xingchao Peng OOD 13 15 0 13 Aug 2020
The Representation Theory of Neural Networks M. Armenta Pierre-Marc Jodoin 19 30 0 23 Jul 2020
An Introduction to Neural Architecture Search for Convolutional Networks George Kyriakides K. Margaritis AI4CE 23 27 0 22 May 2020
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Igor Fedorov Ryan P. Adams Matthew Mattina P. Whatmough 11 164 0 28 May 2019
Language Models with Transformers Chenguang Wang Mu Li Alex Smola 10 120 0 20 Apr 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 8 716 0 20 Feb 2019
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm Zhichao Lu Ian Whalen Vishnu Naresh Boddeti Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf 18 81 0 08 Oct 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 6 793 0 27 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 117 498 0 24 Apr 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 9 45 0 11 Mar 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 23 143 0 06 Feb 2018
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 19 62 0 17 Nov 2017
Embedding Watermarks into Deep Neural Networks Yusuke Uchida Yuki Nagai S. Sakazawa Shiníchi Satoh 35 597 0 15 Jan 2017