Neural Architecture Search: Insights from 1000 Papers

20 January 2023

Papers citing "Neural Architecture Search: Insights from 1000 Papers"

46 / 96 papers shown

Title
Graph Neural Machine: A New Model for Learning with Tabular Data Giannis Nikolentzos Siyun Wang J. Lutzeyer Michalis Vazirgiannis 12 0 0 05 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 27 4 0 03 Feb 2024
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search Felix Tempel Inga Strümke Espen Alexander F. Ihlen 22 3 0 02 Feb 2024
Self Expanding Convolutional Neural Networks Blaise Appolinary Alex Deaconu Sophia Yang Qingze Li Li 17 0 0 11 Jan 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 65 14 0 08 Jan 2024
Sense, Predict, Adapt, Repeat: A Blueprint for Design of New Adaptive AI-Centric Sensing Systems S. Hor Amin Arbabian 11 1 0 11 Dec 2023
Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research Shiro Takagi 31 0 0 06 Dec 2023
Generating Interpretable Networks using Hypernetworks Isaac Liao Ziming Liu Max Tegmark 16 2 0 05 Dec 2023
What Can AutoML Do For Continual Learning? Mert Kilickaya Joaquin Vanschoren 26 1 0 20 Nov 2023
IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis Tue Cao Nhat Tran Le Nguyen Hieu Pham Hung Nguyen 18 1 0 16 Nov 2023
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices Alessio Burrello Matteo Risso Beatrice Alessandra Motetti Enrico Macii Luca Benini Daniele Jahier Pagliari 19 8 0 11 Oct 2023
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 77 7 0 30 Sep 2023
HyperPPO: A scalable method for finding small policies for robotic control Luming Tang Zhehui Huang Gaurav Sukhatme 14 2 0 28 Sep 2023
Object Size-Driven Design of Convolutional Neural Networks: Virtual Axle Detection based on Raw Data Henik Riedel Robert Steven Lorenzen Clemens Hubler 19 1 0 04 Sep 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller M. Keuper 11 1 0 18 Jul 2023
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization Daniele Jahier Pagliari Matteo Risso Beatrice Alessandra Motetti Alessio Burrello 11 5 0 18 Jul 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 20 22 0 13 Jun 2023
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization Muhammad Umair Nasir Sam Earle C. Cleghorn Steven D. James Julian Togelius 19 56 0 01 Jun 2023
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models Sohyun An Hayeon Lee Jaehyeong Jo Seanie Lee Sung Ju Hwang DiffM 11 10 0 26 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 35 0 0 23 May 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begum Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 16 10 0 15 May 2023
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance Vasco Lopes Bruno Degardin L. A. Alexandre 25 5 0 29 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 28 17 0 15 Mar 2023
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters Julie Keisler El-Ghazali Talbi Sandra Claudel Gilles Cabriel 10 3 0 27 Feb 2023
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 10 5 0 02 Nov 2022
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Samuel Dooley R. Sukthanker John P. Dickerson Colin White Frank Hutter Micah Goldblum CVBM 19 20 0 18 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 11 31 0 13 Oct 2022
AutoML for Climate Change: A Call to Action Renbo Tu Nicholas Roberts Vishak Prasad Sibasis Nayak P. Jain Frederic Sala Ganesh Ramakrishnan Ameet Talwalkar W. Neiswanger Colin White 12 6 0 07 Oct 2022
Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks Simon Baeuerle Marius Gebhardt Jonas Barth Andreas Steimert Ralf Mikut AI4CE 9 4 0 08 Aug 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 18 17 0 15 Feb 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 83 323 0 20 Sep 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 83 149 0 17 Sep 2021
Core-set Sampling for Efficient Neural Architecture Search Jaewoong Shim Kyeongbo Kong Suk-Ju Kang 112 20 0 08 Jul 2021
Mutation is all you need Lennart Schneider Florian Pfisterer Martin Binder B. Bischl BDL 39 4 0 04 Jul 2021
A Survey on Evolutionary Neural Architecture Search Yuqiao Liu Y. Sun Bing Xue Mengjie Zhang Gary G. Yen Kay Chen Tan 112 401 0 25 Aug 2020
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lió M. Jamnik GNN AI4CE 43 27 0 21 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 84 576 0 13 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 72 146 0 28 Jan 2020
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 63 365 0 20 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 56 177 0 07 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 117 498 0 24 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 357 0 06 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016