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Neural Architecture Search with Bayesian Optimisation and Optimal Transport

11 February 2018

Kirthevasan Kandasamy

Papers citing "Neural Architecture Search with Bayesian Optimisation and Optimal Transport"

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Title
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? Hwanwoo Kim Chong Liu Yuxin Chen 17 0 0 13 Jun 2025
Loss Functions for Predictor-based Neural Architecture Search Han Ji Yuqi Feng Jiahao Fan Yanan Sun 46 0 0 06 Jun 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor Han Ji Yuqi Feng Jiahao Fan Yanan Sun OOD CML 57 0 0 04 Jun 2025
Global optimization of graph acquisition functions for neural architecture search Yilin Xie Shiqiang Zhang Jixiang Qing Ruth Misener Calvin Tsay 44 0 0 29 May 2025
Spectral Mixture Kernels for Bayesian Optimization Yi Zhang Cheng Hua GP 62 0 0 23 May 2025
DNAD: Differentiable Neural Architecture Distillation Xuan Rao Bo Zhao Derong Liu 92 1 0 25 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
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
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 78 0 0 04 Mar 2025
Quantum Non-Linear Bandit Optimization Zakaria Shams Siam Chaowen Guan Chong Liu 91 0 0 04 Mar 2025
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts Eric Xue Zeyi Huang Zeyi Huang Haohan Wang Yong Jae Lee Haohan Wang 150 1 0 25 Feb 2025
Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Zijian He Reyna Abhyankar Vikranth Srivatsa Yiying Zhang 84 1 0 12 Feb 2025
Efficient Global Neural Architecture Search Shahid Siddiqui C. Kyrkou T. Theocharides 91 0 0 05 Feb 2025
GAIS: A Novel Approach to Instance Selection with Graph Attention Networks Zahiriddin Rustamov Ayham Zaitouny Rafat Damseh Nazar Zaki 81 0 0 26 Dec 2024
When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets? Srikrishna Iyer FedML 160 0 0 25 Nov 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning Chaeyun Jang Hyungi Lee Jungtaek Kim Juho Lee MoMe 136 4 0 11 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 88 6 0 08 Nov 2024
Efficient Deep Learning Board: Training Feedback Is Not All You Need Lina Gong Qi Gao Peng Li Mingqiang Wei Fei Wu OOD 77 0 0 17 Oct 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters Jiawei Yao Chuming Li Canran Xiao 96 6 0 08 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 73 0 0 07 Oct 2024
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 110 1 0 27 Sep 2024
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications Zane Fink K. Parasyris Praneet Rathi Giorgis Georgakoudis Harshitha Menon P. Bremer SyDa 37 0 0 25 Jul 2024
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning Nihal Acharya Adde Hanno Gottschalk Andreas Ebert GP 36 1 0 19 Jul 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process Yihang Chen Tsai Hor Chan Guosheng Yin Yuming Jiang Lequan Yu 57 0 0 16 Jul 2024
LaCoOT: Layer Collapse through Optimal Transport Victor Quétu Nour Hezbri Enzo Tartaglione 59 0 0 13 Jun 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 110 14 0 10 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 71 1 0 31 May 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 96 1 0 24 May 2024
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models Adrien Le Coz Houssem Ouertatani Stéphane Herbin Faouzi Adjed 41 0 0 26 Apr 2024
CSCO: Connectivity Search of Convolutional Operators Tunhou Zhang Shiyu Li Hsin-Pai Cheng Feng Yan Hai Helen Li Yiran Chen 110 0 0 26 Apr 2024
Surprisingly Strong Performance Prediction with Neural Graph Features Gabriela Kadlecová Jovita Lukasik Martin Pilát Petra Vidnerová Mahmoud Safari Roman Neruda Frank Hutter GNN OOD 104 2 0 25 Apr 2024
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search Haoming Zhang Ran Cheng AI4CE GNN 58 0 0 24 Apr 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 122 1 0 02 Mar 2024
Guided Evolution with Binary Discriminators for ML Program Search John D. Co-Reyes Yingjie Miao George Tucker Aleksandra Faust Esteban Real 72 0 0 08 Feb 2024
A Bandit Approach with Evolutionary Operators for Model Selection Margaux Brégere Lpsm Julie Keisler 49 1 0 07 Feb 2024
Large Language Models to Enhance Bayesian Optimization Tennison Liu Nicolás Astorga Nabeel Seedat M. Schaar 151 59 0 06 Feb 2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy Lam Ngo Huong Ha Jeffrey Chan Vu-Linh Nguyen Hongyu Zhang 73 2 0 05 Feb 2024
ParZC: Parametric Zero-Cost Proxies for Efficient NAS Peijie Dong Lujun Li Xinglin Pan Zimian Wei Xiang Liu Qiang-qiang Wang Xiaowen Chu 85 3 0 03 Feb 2024
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions Suhan Cui Jiaqi Wang Yuan Zhong Han Liu Ting Wang Fenglong Ma 69 3 0 20 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen 71 1 0 31 Dec 2023
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang Lei Song Ke Xue Chao Qian 76 3 0 16 Dec 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems Hang Yin Kuang-Hung Liu Mengying Sun Yuxin Chen Buyun Zhang ... Huayu Li Zhengxing Chen Wen-Yen Chen Jiyan Yang Wei Wen OffRL 79 2 0 14 Nov 2023
CycleGANAS: Differentiable Neural Architecture Search for CycleGAN Taegun An Changhee Joo GAN 57 3 0 13 Nov 2023
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM Guillermo Alaejos Adrián Castelló P. Alonso-Jordá Francisco D. Igual Héctor J. Martínez Enrique S. Quintana-Ortí 26 4 0 31 Oct 2023
Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH Vincent P. Grande Michael T. Schaub 58 0 0 25 Oct 2023
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation Jhe-Yu Liou Stephanie Forrest Carole-Jean Wu VLM 58 0 0 16 Oct 2023
High-dimensional Bayesian Optimization with Group Testing E. Hellsten Carl Hvarfner Leonard Papenmeier Luigi Nardi 67 4 0 05 Oct 2023
BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks Jonathan Styrud Matthias Mayr Erik Hellsten Volker Krueger Christian Smith 57 9 0 02 Oct 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 69 3 0 25 Sep 2023
ICDARTS: Improving the Stability and Performance of Cyclic DARTS Emily Herron Derek C. Rose Steven R. Young 41 0 0 01 Sep 2023