Speedy Performance Estimation for Neural Architecture Search

Speedy Performance Estimation for Neural Architecture Search

8 June 2020

Mark van der Wilk

Papers citing "Speedy Performance Estimation for Neural Architecture Search"

19 / 19 papers shown

Title
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 96 14 0 11 Feb 2025
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision Xiangzhong Luo Di Liu Hao Kong Shuo Huai Hui Chen Guochu Xiong Weichen Liu 31 2 0 03 Nov 2024
CAP: A Context-Aware Neural Predictor for NAS Han Ji Yuqi Feng Yanan Sun 21 0 0 04 Jun 2024
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective Pranshu Malviya Jerry Huang Quentin Fournier Sarath Chandar 54 0 0 24 May 2024
ECToNAS: Evolutionary Cross-Topology Neural Architecture Search Elisabeth J. Schiessler R. Aydin C. Cyron 26 0 0 08 Mar 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 40 1 0 28 Feb 2024
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 56 18 0 28 Sep 2023
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 34 6 0 28 Apr 2023
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 30 3 0 08 Dec 2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies Arjun Krishnakumar Colin White Arber Zela Renbo Tu Mahmoud Safari Frank Hutter 41 40 0 06 Oct 2022
Cold Posteriors through PAC-Bayes Konstantinos Pitas Julyan Arbel 23 5 0 22 Jun 2022
EmProx: Neural Network Performance Estimation For Neural Architecture Search G. Franken Prabhant Singh Joaquin Vanschoren 13 0 0 13 Jun 2022
DARTS without a Validation Set: Optimizing the Marginal Likelihood M. Fil Binxin Ru Clare Lyle Y. Gal 21 2 0 24 Dec 2021
Evaluating Efficient Performance Estimators of Neural Architectures Xuefei Ning Changcheng Tang Wenshuo Li Zixuan Zhou Shuang Liang Huazhong Yang Yu Wang 23 73 0 07 Aug 2020
The large learning rate phase of deep learning: the catapult mechanism Aitor Lewkowycz Yasaman Bahri Ethan Dyer Jascha Narain Sohl-Dickstein Guy Gur-Ari ODL 159 234 0 04 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 85 147 0 28 Jan 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 110 146 0 06 Nov 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016