Auto-Keras: An Efficient Neural Architecture Search System

27 June 2018

Papers citing "Auto-Keras: An Efficient Neural Architecture Search System"

50 / 214 papers shown

Title
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version) M. Basgalupp Rodrigo C. Barros A. G. C. D. Sá G. Pappa R. G. Mantovani A. Carvalho A. Freitas 21 4 0 16 Sep 2020
From Federated Learning to Federated Neural Architecture Search: A Survey Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 14 146 0 12 Sep 2020
NASirt: AutoML based learning with instance-level complexity information Habib Asseiss Neto Ronnie Cley de Oliveira Alves S. Campos 29 3 0 26 Aug 2020
Automated Machine Learning -- a brief review at the end of the early years Hugo Jair Escalante 8 26 0 19 Aug 2020
Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization Rohan Anand Joeran Beel 11 18 0 19 Aug 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 27 22 0 17 Aug 2020
Network Architecture Search for Domain Adaptation Yichen Li Xingchao Peng OOD 21 15 0 13 Aug 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos S. Tabik Daniel Molina Francisco Herrera 35 26 0 09 Aug 2020
MORTON: Detection of Malicious Routines in Large-Scale DNS Traffic Yael Daihes Hen Tzaban Asaf Nadler A. Shabtai 14 4 0 05 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 41 108 0 04 Aug 2020
Bayesian Optimization for Selecting Efficient Machine Learning Models Lidan Wang Franck Dernoncourt Trung Bui 11 7 0 02 Aug 2020
Efficient OCT Image Segmentation Using Neural Architecture Search Saba Heidari Gheshlaghi O. Dehzangi Ali Dabouei Annahita Amireskandari A. Rezai Nasser M. Nasrabadi SSeg 24 12 0 28 Jul 2020
VINNAS: Variational Inference-based Neural Network Architecture Search Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues 3DPC 16 6 0 12 Jul 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 35 266 0 08 Jul 2020
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery Minsu Cho Mohammadreza Soltani C. Hegde 14 1 0 07 Jul 2020
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction Qingquan Song Dehua Cheng Hanning Zhou Jiyan Yang Yuandong Tian X. Hu 3DV 14 85 0 29 Jun 2020
AutoRec: An Automated Recommender System Ting-Hsiang Wang Qingquan Song Xiaotian Han Zirui Liu Haifeng Jin Xia Hu 11 20 0 26 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 14 88 0 24 Jun 2020
Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications Jamie Pool Ebrahim Beyrami Vishak Gopal A. Aazami J. Gupchup Jeff Rowland Binlong Li Pritesh Kanani Ross Cutler J. Gehrke 14 11 0 23 Jun 2020
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning Yuening Li Zhengzhang Chen Daochen Zha Kaixiong Zhou Haifeng Jin Haifeng Chen Xia Hu 18 19 0 19 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms Adam Sutton N. Cristianini 33 7 0 17 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru Xingchen Wan Xiaowen Dong Michael A. Osborne 17 21 0 13 Jun 2020
Fast Deep Mixtures of Gaussian Process Experts Clement Etienam K. Law S. Wade Vitaly Zankin 34 1 0 11 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks George Kyriakides K. Margaritis AI4CE 23 27 0 22 May 2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks Gaurav Mittal Chang Liu Nikolaos Karianakis Victor Fragoso Mei Chen Y. Fu VLM 38 23 0 21 May 2020
Sherpa: Robust Hyperparameter Optimization for Machine Learning L. Hertel Julian Collado Peter Sadowski J. Ott Pierre Baldi 86 103 0 08 May 2020
Testing the Robustness of AutoML Systems Tuomas Halvari J. Nurminen T. Mikkonen 14 12 0 06 May 2020
Smart, Adaptive Energy Optimization for Mobile Web Interactions Jie Ren Lu Yuan Petteri Nurmi Xiaoming Wang Miao Ma Ling Gao Zhanyong Tang Jie Zheng Zheng Wang 21 13 0 02 May 2020
Stage-Wise Neural Architecture Search Artur Jordão Fernando Akio M. Lie William Robson Schwartz 11 0 0 23 Apr 2020
ktrain: A Low-Code Library for Augmented Machine Learning Arun S. Maiya 20 146 0 19 Apr 2020
Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing Alan J. X. Guo Fei Zhu 16 1 0 01 Apr 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning Sourya Dey Saikrishna C. Kanala K. Chugg P. Beerel 12 4 0 27 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Jun Yang Fei Wang 12 32 0 25 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 607 0 13 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 19 520 0 12 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 27 34 0 09 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search Haoyu Zhang Yaochu Jin Ran Cheng K. Hao 21 8 0 07 Mar 2020
PHOTONAI -- A Python API for Rapid Machine Learning Model Development Ramona Leenings N. Winter Lucas Plagwitz V. Holstein J. Ernsting ... N. Opel Benjamin Risse Xiaoyi Jiang U. Dannlowski Tim Hahn LM&MA 29 28 0 13 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 24 483 0 12 Feb 2020
A Framework for Democratizing AI Shakkeel Ahmed Ravi Mula S. Dhavala 27 9 0 01 Jan 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS Han Shi Renjie Pi Hang Xu Zhenguo Li James T. Kwok Tong Zhang 33 31 0 21 Nov 2019
ImmuNeCS: Neural Committee Search by an Artificial Immune System L. Frachon Wei Pang George Macleod Coghill 13 9 0 18 Nov 2019
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 19 18 0 06 Nov 2019
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines Doron Laadan Roman Vainshtein Yarden Curiel Gilad Katz Lior Rokach AIMat 14 7 0 31 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White W. Neiswanger Yash Savani BDL 42 313 0 25 Oct 2019
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures J. Dafflon W. H. Pinaya F. Turkheimer James H. Cole R. Leech M. Harris S. Cox H. Whalley A. McIntosh Peter J Hellyer 19 2 0 08 Oct 2019
Towards modular and programmable architecture search Renato M. P. Negrinho Darshan Patil Nghia T. Le Daniel C. Ferreira Matthew R. Gormley Geoffrey J. Gordon 16 26 0 30 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human sperm images Erfan Miahi Seyed Abolghasem Mirroshandel Alexis Nasr 19 29 0 20 Sep 2019