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BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

25 October 2019

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Papers citing "BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search"

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Title
Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices Adel Chehade E. Ragusa Paolo Gastaldo Rodolfo Zunino 19 0 0 12 Jun 2025
Loss Functions for Predictor-based Neural Architecture Search Han Ji Yuqi Feng Jiahao Fan Yanan Sun 58 0 0 06 Jun 2025
SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search Yuyang Zhou Ferrante Neri Yew-Soon Ong Ruibin Bai 71 0 0 03 Jun 2025
RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases Dongwon Choi Sunwoo Kim Juyeon Kim Kyungho Kim Geon Lee Shinhwan Kang Myunghwan Kim Kijung Shin 64 0 0 02 Jun 2025
Global optimization of graph acquisition functions for neural architecture search Yilin Xie Shiqiang Zhang Jixiang Qing Ruth Misener Calvin Tsay 67 0 0 29 May 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 173 0 0 24 Apr 2025
Quantum Non-Linear Bandit Optimization Zakaria Shams Siam Chaowen Guan Chong Liu 91 0 0 04 Mar 2025
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Lotfi Abdelkrim Mecharbat Alberto Marchisio Mohamed Bennai M. Ghassemi Tuka Alhanai 205 0 0 11 Feb 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 238 0 0 30 Jan 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 145 2 0 02 Dec 2024
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization Xinzheng Wu Junyi Chen Xingyu Xing Jian Sun Ye Tian Lihao Liu Yong Shen 116 0 0 30 Nov 2024
Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture Search Arjun Sridhar Yuxiao Chen 119 0 0 21 Nov 2024
Principled Bayesian Optimisation in Collaboration with Human Experts Wenjie Xu Masaki Adachi Colin N. Jones Michael A. Osborne 78 2 0 14 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
AgentSquare: Automatic LLM Agent Search in Modular Design Space Yu Shang Yu Li Keyu Zhao Likai Ma Qingbin Liu Fengli Xu Yong Li LLMAG 153 21 0 08 Oct 2024
Scalable Reinforcement Learning-based Neural Architecture Search Amber Cassimon Siegfried Mercelis Kevin Mets 104 4 0 02 Oct 2024
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator Eugenio Lomurno Samuele Mariani Matteo Monti Matteo Matteucci DiffM 70 2 0 30 Sep 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta Jonathan Lorraine Steve Masson Ramanathan Arunachalam Zaid Pervaiz Bhat James Lucas Arun George Zachariah 118 4 0 26 Jun 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng Marius Lindauer AI4TS 96 0 0 07 Jun 2024
Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks Oscar Lao Konstantinos Zacharopoulos A. Fournaris Rossano Schifanella Ioannis Arapakis 82 0 0 07 Jun 2024
CAP: A Context-Aware Neural Predictor for NAS Han Ji Yuqi Feng Yanan Sun 67 1 0 04 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 81 1 0 31 May 2024
Manifold Metric: A Loss Landscape Approach for Predicting Model Performance Pranshu Malviya Jerry Huang A. Baratin Quentin Fournier Sarath Chandar 88 0 0 24 May 2024
Graph is all you need? Lightweight data-agnostic neural architecture search without training Zhenhan Huang Tejaswini Pedapati Pin-Yu Chen Chunheng Jiang Jianxi Gao GNN 88 1 0 02 May 2024
CSCO: Connectivity Search of Convolutional Operators Tunhou Zhang Shiyu Li Hsin-Pai Cheng Feng Yan Hai Helen Li Yiran Chen 113 0 0 26 Apr 2024
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search Haoming Zhang Ran Cheng AI4CE GNN 63 0 0 24 Apr 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer Dongyeong Hwang Hyunju Kim Sunwoo Kim Kijung Shin AI4CE 108 6 0 19 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 74 1 0 12 Mar 2024
Multi-conditioned Graph Diffusion for Neural Architecture Search Rohan Asthana Joschua Conrad Youssef Dawoud M. Ortmanns Vasileios Belagiannis GNN AI4CE 83 6 0 09 Mar 2024
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions Guangrun Wang Changlin Li Liuchun Yuan Jiefeng Peng Xiaoyu Xian Xiaodan Liang Xiaojun Chang Liang Lin 127 1 0 02 Mar 2024
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification Tue Cao N.H. Tran Hieu H. Pham Hung T. Nguyen Le P. Nguyen 68 0 0 21 Feb 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization Yang Zhang Haiyang Wu Yuekui Yang 79 0 0 21 Feb 2024
SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search Halima Bouzidi Smail Niar Hamza Ouarnoughi El-Ghazali Talbi 85 0 0 20 Feb 2024
Guided Evolution with Binary Discriminators for ML Program Search John D. Co-Reyes Yingjie Miao George Tucker Aleksandra Faust Esteban Real 77 0 0 08 Feb 2024
SeqNAS: Neural Architecture Search for Event Sequence Classification Igor Udovichenko Egor Shvetsov Denis Divitsky Dmitry Osin I. Trofimov Anatoliy Glushenko I. Sukharev Dmitry Berestnev Evgeny Burnaev 68 8 0 06 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen 91 1 0 31 Dec 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor H. Loya Łukasz Dudziak Abhinav Mehrotra Royson Lee Javier Fernandez-Marques Nicholas D. Lane Hongkai Wen OOD 102 0 0 30 Nov 2023
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 98 13 0 24 Nov 2023
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale Wei Wen Kuang-Hung Liu Igor Fedorov Xin Zhang Hang Yin ... Fangqiu Han Jiyan Yang Yuchen Hao Liang Xiong Wen-Yen Chen 87 2 0 14 Nov 2023
CycleGANAS: Differentiable Neural Architecture Search for CycleGAN Taegun An Changhee Joo GAN 69 3 0 13 Nov 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs Lin Yang Junlong Lyu Wenlong Lyu Zhitang Chen 56 2 0 31 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 116 2 0 15 Oct 2023
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures Wenhao Li Xiu Su Shan You Fei Wang Chao Qian Chang Xu 101 7 0 07 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 58 0 0 01 Oct 2023
Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate Optimization Problems Rafael Monteiro K. Sau 54 1 0 14 Sep 2023
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing Clifford Broni-Bediako Junshi Xia Naoto Yokoya 91 10 0 12 Sep 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller Margret Keuper 78 1 0 18 Jul 2023
A Survey of Techniques for Optimizing Transformer Inference Krishna Teja Chitty-Venkata Sparsh Mittal M. Emani V. Vishwanath Arun Somani 129 75 0 16 Jul 2023
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 70 1 0 19 Jun 2023
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning Yun Yi Haokui Zhang Rong Xiao Nan Wang Xiaoyu Wang GNN 76 3 0 19 Jun 2023