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Large-Scale Evolution of Image Classifiers
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Evolution of Image Classifiers"

50 / 752 papers shown
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
246
1
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
191
1
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
673
15
0
30 Jun 2024
An Efficient NAS-based Approach for Handling Imbalanced Datasets
An Efficient NAS-based Approach for Handling Imbalanced Datasets
Zhiwei Yao
159
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
FedMLMoMe
232
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
174
2
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
320
3
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
255
4
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
281
0
0
26 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search
Towards Accurate and Robust Architectures via Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2024
Yuwei Ou
Yuqi Feng
Yanan Sun
AAML
187
9
0
09 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
AAMLOOD
290
0
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
229
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
196
5
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
237
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
332
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
187
2
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
363
151
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 DatasetsComputer Vision and Pattern Recognition (CVPR), 2024
Rob Geada
David Towers
M. Forshaw
Amir Atapour-Abarghouei
A. Mcgough
301
5
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
101
3
0
27 Mar 2024
Robust NAS under adversarial training: benchmark, theory, and beyond
Robust NAS under adversarial training: benchmark, theory, and beyond
Yongtao Wu
Fanghui Liu
Carl-Johann Simon-Gabriel
Grigorios G. Chrysos
Volkan Cevher
AAMLOOD
273
9
0
19 Mar 2024
Boosting Order-Preserving and Transferability for Neural Architecture
  Search: a Joint Architecture Refined Search and Fine-tuning Approach
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning ApproachComputer Vision and Pattern Recognition (CVPR), 2024
Beichen Zhang
Xiaoxing Wang
Xiaohan Qin
Junchi Yan
274
6
0
18 Mar 2024
Random Search as a Baseline for Sparse Neural Network Architecture
  Search
Random Search as a Baseline for Sparse Neural Network Architecture Search
Rezsa Farahani
267
0
0
13 Mar 2024
Multiple Population Alternate Evolution Neural Architecture Search
Multiple Population Alternate Evolution Neural Architecture Search
Juan Zou
Han Chu
Yizhang Xia
Junwen Xu
Yuan Liu
Zhanglu Hou
213
1
0
11 Mar 2024
Multi-conditioned Graph Diffusion for Neural Architecture Search
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana
Joschua Conrad
Youssef Dawoud
M. Ortmanns
Vasileios Belagiannis
GNNAI4CE
253
13
0
09 Mar 2024
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
Yameng Peng
Andy Song
Haytham M. Fayek
Victor Ciesielski
Xiaojun Chang
547
16
0
07 Mar 2024
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network
  Growth
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
Juan Zou
Weiwei Jiang
Yizhang Xia
Yuan Liu
Zhanglu Hou
250
0
0
05 Mar 2024
MGE: A Training-Free and Efficient Model Generation and Enhancement
  Scheme
MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme
Xuan Wang
Zeshan Pang
Yuliang Lu
Xuehu Yan
147
0
0
27 Feb 2024
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via
  Automating Deep Neural Network Porting for Mobile Deployment
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
Hongtao Huang
Xiaojun Chang
Wen Hu
Lina Yao
176
0
0
21 Feb 2024
A Unified Gaussian Process for Branching and Nested Hyperparameter
  Optimization
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization
Jiazhao Zhang
Ying Hung
Chung-Ching Lin
Zicheng Liu
275
0
0
19 Jan 2024
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons
  and Adaptable Structure
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure
Yanjie Li
Weijun Li
Lina Yu
Min Wu
Jinyi Liu
...
Xin Ning
Yugui Zhang
Baoli Lu
Jian Xu
Shuang Li
231
2
0
03 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines
DREAM: Debugging and Repairing AutoML PipelinesACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xiaoyu Zhang
Juan Zhai
Shiqing Ma
Chao Shen
300
4
0
31 Dec 2023
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate
  Importance
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Hongyi He
Longjun Liu
Haonan Zhang
Nanning Zheng
202
16
0
19 Dec 2023
Optimizing Neural Networks with Gradient Lexicase Selection
Optimizing Neural Networks with Gradient Lexicase Selection
Lijie Ding
Lee Spector
225
21
0
19 Dec 2023
Optimizing Convolutional Neural Network Architecture
Optimizing Convolutional Neural Network Architecture
Luis Balderas
Miguel Lastra
José M. Benítez
CVBM
288
12
0
17 Dec 2023
Optimizing Dense Feed-Forward Neural Networks
Optimizing Dense Feed-Forward Neural NetworksNeural Networks (Neural Netw.), 2023
Luis Balderas
Miguel Lastra
José M. Benítez
192
11
0
16 Dec 2023
Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture
  Generation for Massive MIMO CSI Feedback
Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI FeedbackIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Xiangyi Li
Jiajia Guo
Chao-Kai Wen
Shi Jin
189
5
0
27 Nov 2023
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss
  Landscape
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape
Hua Zheng
Kuang-Hung Liu
Igor Fedorov
Xin Zhang
Wen-Yen Chen
Wei Wen
286
2
0
22 Nov 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems
AutoML for Large Capacity Modeling of Meta's Ranking SystemsThe Web Conference (WWW), 2023
Hang Yin
Kuang-Hung Liu
Mengying Sun
Yuxin Chen
Buyun Zhang
...
Huayu Li
Zhengxing Chen
Wen-Yen Chen
Jiyan Yang
Wei Wen
OffRL
283
2
0
14 Nov 2023
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable
  Meta-Optimization for Knowledge Distillation
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Li Ding
M. Zoghi
Guy Tennenholtz
Maryam Karimzadehgan
344
0
0
29 Oct 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse
  Network
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse NetworkNeural Information Processing Systems (NeurIPS), 2023
Fuyuan Lyu
Xing Tang
Dugang Liu
Chen Ma
Weihong Luo
Liang Chen
Xiuqiang He
Xue Liu
350
3
0
23 Oct 2023
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
Shuhan Wu
Huaiyu Wan
Wei Chen
Yuting Wu
Junfeng Shen
Youfang Lin
AI4CENAI
216
10
0
20 Oct 2023
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
Jhe-Yu Liou
Stephanie Forrest
Carole-Jean Wu
VLM
250
0
0
16 Oct 2023
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
Juan Zou
Shenghong Wu
Yizhang Xia
Weiwei Jiang
Zeping Wu
Jinhua Zheng
3DV
185
1
0
14 Oct 2023
Enhancing Neural Architecture Search with Multiple Hardware Constraints
  for Deep Learning Model Deployment on Tiny IoT Devices
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT DevicesIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2023
Luca Bompani
Matteo Risso
Beatrice Alessandra Motetti
Enrico Macii
Luca Benini
Daniele Jahier Pagliari
213
15
0
11 Oct 2023
Entropic Score metric: Decoupling Topology and Size in Training-free NAS
Entropic Score metric: Decoupling Topology and Size in Training-free NAS
Niccolò Cavagnero
Luc Robbiano
Francesca Pistilli
Barbara Caputo
Giuseppe Averta
181
3
0
06 Oct 2023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud
  Registration
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud RegistrationIEEE International Conference on Computer Vision (ICCV), 2023
Zheng Dang
Mathieu Salzmann
3DPC
161
1
0
20 Sep 2023
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Brain-inspired Evolutionary Architectures for Spiking Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Wenxuan Pan
Feifei Zhao
Zhuoya Zhao
Yi Zeng
281
5
0
11 Sep 2023
Unleashing the Power of Graph Learning through LLM-based Autonomous
  Agents
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents
Lanning Wei
Zhiqiang He
Huan Zhao
Quanming Yao
LLMAG
207
1
0
08 Sep 2023
InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning
InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning
S. N. Sridhar
Souvik Kundu
Sairam Sundaresan
Maciej Szankin
Anthony Sarah
255
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0
29 Aug 2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Computation-efficient Deep Learning for Computer Vision: A Survey
Yulin Wang
Yizeng Han
Chaofei Wang
Shiji Song
Qi Tian
Gao Huang
VLM
302
32
0
27 Aug 2023
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