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Large-Scale Evolution of Image Classifiers

3 March 2017

Jie Tan

Papers citing "Large-Scale Evolution of Image Classifiers"

50 / 738 papers shown

Title
Loss Functions for Predictor-based Neural Architecture Search Han Ji Yuqi Feng Jiahao Fan Yanan Sun 51 0 0 06 Jun 2025
Runtime Analysis of Evolutionary NAS for Multiclass Classification Zeqiong Lv Chao Qian Yun-Pei Liu Jiahao Fan Yanan Sun 52 0 0 06 Jun 2025
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models Hongtao Huang Xiaojun Chang L. Yao MedIm 55 0 0 03 Jun 2025
Inference-Time Alignment of Diffusion Models with Evolutionary Algorithms Purvish Jajal Nick Eliopoulos Benjamin Shiue-Hal Chou George K. Thiruvathukal James C. Davis Yung-Hsiang Lu 30 0 0 30 May 2025
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 109 0 0 21 May 2025
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers S. Casarin Sergio Escalera Oswald Lanz 111 0 0 12 May 2025
Meta knowledge assisted Evolutionary Neural Architecture Search Yangyang Li Guanlong Liu Ronghua Shang L. Jiao 87 0 0 30 Apr 2025
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models? Christophe El Zeinaty W. Hamidouche Glenn Herrou D. Ménard Merouane Debbah 78 0 0 13 Apr 2025
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning Llewyn Salt Marcus Gallagher 74 0 0 09 Apr 2025
Sim-is-More: Randomizing HW-NAS with Synthetic Devices F. Capuano Gabriele Tiboni Niccolò Cavagnero Giuseppe Averta 76 0 0 01 Apr 2025
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank TingJie Zhang HaiLin Liu 71 1 0 01 Apr 2025
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 80 0 0 28 Mar 2025
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time Matteo Risso Luca Bompani Daniele Jahier Pagliari 117 0 0 24 Feb 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance Raphael T. Husistein Markus Reiher Marco Eckhoff 257 1 0 20 Feb 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation Emil Njor Colby R. Banbury Xenofon Fafoutis 108 0 0 18 Feb 2025
Efficient Global Neural Architecture Search Shahid Siddiqui C. Kyrkou T. Theocharides 93 0 0 05 Feb 2025
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks Quan Long Bin Wang Bing Xue Mengjie Zhang 79 0 0 29 Jan 2025
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 149 4 0 31 Dec 2024
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 213 4 0 28 Nov 2024
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 105 2 0 24 Nov 2024
Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor Arjun Sridhar Chen-Chia Chang Junyao Zhang Yuxiao Chen 82 1 0 21 Nov 2024
Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture Search Arjun Sridhar Yuxiao Chen 116 0 0 21 Nov 2024
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively Yao Lu Peixin Zhang Jingyi Wang Lei Ma Xiaoniu Yang Qi Xuan 68 2 0 15 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 96 6 0 08 Nov 2024
Learning Morphisms with Gauss-Newton Approximation for Growing Networks Neal Lawton Aram Galstyan Greg Ver Steeg 51 0 0 07 Nov 2024
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 86 4 0 01 Nov 2024
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 44 1 0 10 Oct 2024
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 55 0 0 10 Oct 2024
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search Amber Cassimon Phil Reiter Siegfried Mercelis Kevin Mets 85 0 0 07 Oct 2024
Scalable Reinforcement Learning-based Neural Architecture Search Amber Cassimon Siegfried Mercelis Kevin Mets 104 4 0 02 Oct 2024
A Survey on Neural Architecture Search Based on Reinforcement Learning Wenzhu Shao 39 0 0 26 Sep 2024
Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule Hongtao Huang Xiaojun Chang L. Yao 79 0 0 26 Sep 2024
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 74 11 0 18 Sep 2024
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 84 1 0 11 Aug 2024
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks Guodong DU Runhua Jiang Senqiao Yang HaoYang Li Wei Chen Keren Li Sim Kuan Goh Jing Li 69 4 0 10 Aug 2024
Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks Dylan Adams Magda Zajaczkowska Ashiq Anjum Andrea Soltoggio Shirin Dora 78 0 0 06 Aug 2024
TopoNAS: Boosting Search Efficiency of Gradient-based NAS via Topological Simplification Giacomo Vedovati ShiNung Ching Bo Yuan 80 0 0 02 Aug 2024
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets Peng Liao Xilu Wang Yaochu Jin WenLi Du 76 0 0 18 Jul 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 147 7 0 30 Jun 2024
An Efficient NAS-based Approach for Handling Imbalanced Datasets Zhiwei Yao 58 0 0 22 Jun 2024
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm Daniel Yun FedML MoMe 46 1 0 07 Jun 2024
Towards Neural Architecture Search for Transfer Learning in 6G Networks Adam Orucu Farnaz Moradi Masoumeh Ebrahimi Andreas Johnsson AI4CE 61 1 0 04 Jun 2024
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 97 1 0 03 Jun 2024
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 78 1 0 31 May 2024
The devil is in discretization discrepancy. Robustifying Differentiable NAS with Single-Stage Searching Protocol Konstanty Subbotko Wojciech Jablonski Piotr Bilinski 89 0 0 26 May 2024
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search Zachary Coalson Huazheng Wang Qingyun Wu Sanghyun Hong OOD AAML 59 0 0 09 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 55 2 0 09 May 2024
Implantable Adaptive Cells: A Novel Enhancement for Pre-Trained U-Nets in Medical Image Segmentation Emil Benedykciuk Marcin Denkowski Grzegorz Wójcik 63 0 0 06 May 2024
Structural Pruning of Pre-trained Language Models via Neural Architecture Search Aaron Klein Jacek Golebiowski Xingchen Ma Valerio Perrone Cédric Archambeau 85 2 0 03 May 2024
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 56 1 0 29 Apr 2024