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Large-Scale Evolution of Image Classifiers

Large-Scale Evolution of Image Classifiers

3 March 2017
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
ArXivPDFHTML

Papers citing "Large-Scale Evolution of Image Classifiers"

50 / 737 papers shown
Title
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
Nick Kocher
Christian Wassermann
Leona Hennig
Jonas Seng
Holger Hoos
Kristian Kersting
Marius Lindauer
Matthias Müller
16
0
0
21 May 2025
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
S. Casarin
Sergio Escalera
Oswald Lanz
34
0
0
12 May 2025
Meta knowledge assisted Evolutionary Neural Architecture Search
Meta knowledge assisted Evolutionary Neural Architecture Search
Yangyang Li
Guanlong Liu
Ronghua Shang
L. Jiao
56
0
0
30 Apr 2025
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
Christophe El Zeinaty
W. Hamidouche
Glenn Herrou
D. Ménard
Merouane Debbah
43
0
0
13 Apr 2025
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning
Llewyn Salt
Marcus Gallagher
33
0
0
09 Apr 2025
Sim-is-More: Randomizing HW-NAS with Synthetic Devices
Sim-is-More: Randomizing HW-NAS with Synthetic Devices
F. Capuano
Gabriele Tiboni
Niccolò Cavagnero
Giuseppe Averta
35
0
0
01 Apr 2025
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
TingJie Zhang
HaiLin Liu
43
1
0
01 Apr 2025
Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning
Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning
Deshani Geethika Poddenige
Sachith Seneviratne
Damith A. Senanayake
Mahesan Niranjan
PN Suganthan
Saman K. Halgamuge
51
0
0
28 Mar 2025
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
Matteo Risso
Alessio Burrello
Daniele Jahier Pagliari
51
0
0
24 Feb 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
Raphael T. Husistein
Markus Reiher
Marco Eckhoff
142
1
0
20 Feb 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Emil Njor
Colby R. Banbury
Xenofon Fafoutis
72
0
0
18 Feb 2025
Efficient Global Neural Architecture Search
Efficient Global Neural Architecture Search
Shahid Siddiqui
C. Kyrkou
T. Theocharides
62
0
0
05 Feb 2025
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
Quan Long
Bin Wang
Bing Xue
Mengjie Zhang
53
0
0
29 Jan 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Peiwen Li
Xin Wang
Zeyang Zhang
Yi Qin
Ziwei Zhang
Jialong Wang
Yang Li
Wenwu Zhu
CML
OOD
69
4
0
31 Dec 2024
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Akhiad Bercovich
Tomer Ronen
Talor Abramovich
Nir Ailon
Nave Assaf
...
Ido Shahaf
Oren Tropp
Omer Ullman Argov
Ran Zilberstein
Ran El-Yaniv
88
1
0
28 Nov 2024
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction
  Models
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
Kexin Zhang
Fuyuan Lyu
Xing Tang
Dugang Liu
Chen Ma
Kaize Ding
Xiuqiang He
Xue Liu
68
0
0
24 Nov 2024
Delta-NAS: Difference of Architecture Encoding for Predictor-based
  Evolutionary Neural Architecture Search
Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture Search
Arjun Sridhar
Yuxiao Chen
73
0
0
21 Nov 2024
RedTest: Towards Measuring Redundancy in Deep Neural Networks
  Effectively
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
Yao Lu
Peixin Zhang
Jingyi Wang
Lei Ma
Xiaoniu Yang
Qi Xuan
33
0
0
15 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
27
2
0
08 Nov 2024
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Neal Lawton
Aram Galstyan
Greg Ver Steeg
23
0
0
07 Nov 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large
  Language Models
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
Jianyi Zhang
Da-Cheng Juan
Cyrus Rashtchian
Chun-Sung Ferng
Heinrich Jiang
Yiran Chen
45
4
0
01 Nov 2024
Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous
  AR/VR Devices
Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices
Yiwei Zhao
Ziyun Li
Win-San Khwa
Xiaoyu Sun
Sai Qian Zhang
...
Jorge Gomez
Jae-sun Seo
Phillip B. Gibbons
B. D. Salvo
Chiao Liu
37
1
0
10 Oct 2024
Dense Optimizer : An Information Entropy-Guided Structural Search Method
  for Dense-like Neural Network Design
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Design
Liu Tianyuan
Hou Libin
Wang Linyuan
Song Xiyu
Yan Bin
38
0
0
10 Oct 2024
Designing a Classifier for Active Fire Detection from Multispectral
  Satellite Imagery Using Neural Architecture Search
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search
Amber Cassimon
Phil Reiter
Siegfried Mercelis
Kevin Mets
30
0
0
07 Oct 2024
Scalable Reinforcement Learning-based Neural Architecture Search
Scalable Reinforcement Learning-based Neural Architecture Search
Amber Cassimon
Siegfried Mercelis
Kevin Mets
53
2
0
02 Oct 2024
A Survey on Neural Architecture Search Based on Reinforcement Learning
A Survey on Neural Architecture Search Based on Reinforcement Learning
Wenzhu Shao
23
0
0
26 Sep 2024
Flexiffusion: Segment-wise Neural Architecture Search for Flexible
  Denoising Schedule
Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule
Hongtao Huang
Xiaojun Chang
Lina Yao
30
0
0
26 Sep 2024
Efficient Data Subset Selection to Generalize Training Across Models:
  Transductive and Inductive Networks
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
Eeshaan Jain
Tushar Nandy
Gaurav Aggarwal
Ashish Tendulkar
Rishabh K. Iyer
A. De
46
11
0
18 Sep 2024
Neural Architecture Search based Global-local Vision Mamba for Palm-Vein
  Recognition
Neural Architecture Search based Global-local Vision Mamba for Palm-Vein Recognition
Huafeng Qin
Yuming Fu
Jing Chen
M. El-Yacoubi
Xinbo Gao
Feng Xi
Mamba
45
1
0
11 Aug 2024
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
Guodong Du
Runhua Jiang
Senqiao Yang
HaoYang Li
Wei Chen
Keren Li
S. Goh
Ho-Kin Tang
39
3
0
10 Aug 2024
Synaptic Modulation using Interspike Intervals Increases Energy
  Efficiency of Spiking Neural Networks
Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks
Dylan Adams
Magda Zajaczkowska
Ashiq Anjum
Andrea Soltoggio
Shirin Dora
35
0
0
06 Aug 2024
TopoNAS: Boosting Search Efficiency of Gradient-based NAS via
  Topological Simplification
TopoNAS: Boosting Search Efficiency of Gradient-based NAS via Topological Simplification
Giacomo Vedovati
ShiNung Ching
Bo Yuan
40
0
0
02 Aug 2024
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural
  Knowledge Between Tasks from Different Datasets
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
Peng Liao
Xilu Wang
Yaochu Jin
WenLi Du
49
0
0
18 Jul 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Oliver R. A. Dunbar
Nicholas H. Nelsen
Maya Mutic
37
5
0
30 Jun 2024
An Efficient NAS-based Approach for Handling Imbalanced Datasets
An Efficient NAS-based Approach for Handling Imbalanced Datasets
Zhiwei Yao
41
0
0
22 Jun 2024
MeGA: Merging Multiple Independently Trained Neural Networks Based on
  Genetic Algorithm
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
Daniel Yun
FedML
MoMe
23
1
0
07 Jun 2024
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Adam Orucu
Farnaz Moradi
Masoumeh Ebrahimi
Andreas Johnsson
AI4CE
31
1
0
04 Jun 2024
Evolutionary Computation for the Design and Enrichment of
  General-Purpose Artificial Intelligence Systems: Survey and Prospects
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
Javier Poyatos
Javier Del Ser
Salvador Garcia
H. Ishibuchi
Daniel Molina
I. Triguero
Bing Xue
Xin Yao
Francisco Herrera
46
1
0
03 Jun 2024
einspace: Searching for Neural Architectures from Fundamental Operations
einspace: Searching for Neural Architectures from Fundamental Operations
Linus Ericsson
Miguel Espinosa
Chenhongyi Yang
Antreas Antoniou
Amos Storkey
Shay B. Cohen
Jingyu Sun
Elliot J. Crowley
38
1
0
31 May 2024
The devil is in discretization discrepancy. Robustifying Differentiable
  NAS with Single-Stage Searching Protocol
The devil is in discretization discrepancy. Robustifying Differentiable NAS with Single-Stage Searching Protocol
Konstanty Subbotko
Wojciech Jablonski
Piotr Bilinski
46
0
0
26 May 2024
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural
  Architecture Search
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search
Zachary Coalson
Huazheng Wang
Qingyun Wu
Sanghyun Hong
OOD
AAML
41
0
0
09 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search
Towards Accurate and Robust Architectures via Neural Architecture Search
Yuwei Ou
Yuqi Feng
Yanan Sun
AAML
26
1
0
09 May 2024
Implantable Adaptive Cells: A Novel Enhancement for Pre-Trained U-Nets in Medical Image Segmentation
Implantable Adaptive Cells: A Novel Enhancement for Pre-Trained U-Nets in Medical Image Segmentation
Emil Benedykciuk
Marcin Denkowski
Grzegorz Wójcik
34
0
0
06 May 2024
Structural Pruning of Pre-trained Language Models via Neural
  Architecture Search
Structural Pruning of Pre-trained Language Models via Neural Architecture Search
Aaron Klein
Jacek Golebiowski
Xingchen Ma
Valerio Perrone
Cédric Archambeau
35
2
0
03 May 2024
Predicting Fairness of ML Software Configurations
Predicting Fairness of ML Software Configurations
Salvador Robles Herrera
Verya Monjezi
V. Kreinovich
Ashutosh Trivedi
Saeid Tizpaz-Niari
34
1
0
29 Apr 2024
The Simpler The Better: An Entropy-Based Importance Metric To Reduce
  Neural Networks' Depth
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth
Victor Quétu
Zhu Liao
Enzo Tartaglione
49
4
0
27 Apr 2024
Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification
Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification
Yu-Yang Li
Yu Bai
Cunshi Wang
Mengwei Qu
Ziteng Lu
Roberto Soria
Jifeng Liu
33
3
0
16 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
61
49
0
08 Apr 2024
Insights from the Use of Previously Unseen Neural Architecture Search
  Datasets
Insights from the Use of Previously Unseen Neural Architecture Search Datasets
Rob Geada
David Towers
M. Forshaw
Amir Atapour-Abarghouei
A. Mcgough
42
2
0
02 Apr 2024
An Evolutionary Network Architecture Search Framework with Adaptive
  Multimodal Fusion for Hand Gesture Recognition
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition
Yizhang Xia
Shihao Song
Zhanglu Hou
Junwen Xu
Juan Zou
Yuan Liu
Shengxiang Yang
29
1
0
27 Mar 2024
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