BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

25 October 2019

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

50 / 162 papers shown

Title
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
Quantum Non-Linear Bandit Optimization Zakaria Shams Siam Chaowen Guan Chong Liu 29 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 Muhammad Shafique M. Ghassemi Tuka Alhanai 84 0 0 11 Feb 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 99 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 70 0 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-jun Sun Ye Tian Lihao Liu Yong Shen 74 0 0 30 Nov 2024
Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture Search Arjun Sridhar Y. Chen 66 0 0 21 Nov 2024
Principled Bayesian Optimisation in Collaboration with Human Experts Wenjie Xu Masaki Adachi Colin N. Jones Michael A. Osborne 31 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 15 0 0 10 Oct 2024
AgentSquare: Automatic LLM Agent Search in Modular Design Space Yu Shang Yu Li Keyu Zhao Likai Ma J. Liu Fengli Xu Yong Li LLMAG 47 9 0 08 Oct 2024
Scalable Reinforcement Learning-based Neural Architecture Search Amber Cassimon Siegfried Mercelis Kevin Mets 42 2 0 02 Oct 2024
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator Eugenio Lomurno Samuele Mariani Matteo Monti Matteo Matteucci DiffM 26 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 41 4 0 26 Jun 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng Marius Lindauer AI4TS 53 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 34 0 0 07 Jun 2024
CAP: A Context-Aware Neural Predictor for NAS Han Ji Yuqi Feng Yanan Sun 19 0 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 Steven G. McDonagh Elliot J. Crowley 38 1 0 31 May 2024
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective Pranshu Malviya Jerry Huang Quentin Fournier Sarath Chandar 54 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 27 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 34 0 0 26 Apr 2024
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search Haoming Zhang Ran Cheng AI4CE GNN 22 0 0 24 Apr 2024
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search Ye Qiao Haocheng Xu Sitao Huang 19 0 0 30 Mar 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer Dongyeong Hwang Hyunju Kim Sunwoo Kim Kijung Shin AI4CE 48 2 0 19 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 27 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 31 5 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 38 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 27 0 0 21 Feb 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization Yang Zhang Haiyang Wu Yuekui Yang 25 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 38 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 34 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 E. Burnaev 23 6 0 06 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen 16 1 0 31 Dec 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor H. Loya L. Dudziak Abhinav Mehrotra Royson Lee Javier Fernandez-Marques Nicholas D. Lane Hongkai Wen OOD 17 0 0 30 Nov 2023
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 24 11 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 23 2 0 14 Nov 2023
CycleGANAS: Differentiable Neural Architecture Search for CycleGAN Taegun An Changhee Joo GAN 16 3 0 13 Nov 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs Lin Yang Junlong Lyu Wenlong Lyu Zhitang Chen 11 2 0 31 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 24 2 0 15 Oct 2023
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures Wenhao Li Xiu Su Shan You Fei-Yue Wang Chao Qian Chang Xu 20 7 0 07 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 24 0 0 01 Oct 2023
Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate Optimization Problems Rafael Monteiro K. Sau 17 1 0 14 Sep 2023
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing Clifford Broni-Bediako Junshi Xia Naoto Yokoya 36 9 0 12 Sep 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller M. Keuper 22 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 35 62 0 16 Jul 2023
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 17 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 24 2 0 19 Jun 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik M. Keuper OOD AAML 30 19 0 11 Jun 2023
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models Sohyun An Hayeon Lee Jaehyeong Jo Seanie Lee Sung Ju Hwang DiffM 21 10 0 26 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 41 0 0 23 May 2023
Effective Bilevel Optimization via Minimax Reformulation Xiaoyu Wang Rui Pan Renjie Pi Tong Zhang 35 1 0 22 May 2023