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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"

50 / 299 papers shown

Title
Efficacy of Neural Prediction-Based Zero-Shot NAS Minh Le Nhan Nguyen N. H. Luong 105 0 0 31 Aug 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 83 39 0 31 Aug 2023
A Survey on Multi-Objective Neural Architecture Search Seyed Mahdi Shariatzadeh M. Fathy R. Berangi M. Shahverdy 96 1 0 18 Jul 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Mete Kemertas Allan D. Jepson Amir-massoud Farahmand OT 137 3 0 17 Jul 2023
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities Guihong Li Duc-Tuong Hoang Kartikeya Bhardwaj Ming Lin Zhangyang Wang R. Marculescu 120 15 0 05 Jul 2023
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation Huong Ha Vu-Linh Nguyen Hung Tran-The Hongyu Zhang Xiuzhen Zhang Anton Van Den Hengel 73 1 0 12 Jun 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik Margret Keuper OOD AAML 79 20 0 11 Jun 2023
A Probabilistic Framework for Modular Continual Learning Lazar Valkov Akash Srivastava Swarat Chaudhuri Charles Sutton CLL 43 1 0 11 Jun 2023
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework Hua Wang Sheng-yang Gao Huanyu Zhang Weijie J. Su Milan Shen 118 5 0 09 Jun 2023
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 73 5 0 08 Jun 2023
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization Muhammad Umair Nasir Sam Earle C. Cleghorn Steven D. James Julian Togelius 170 61 0 01 Jun 2023
LayerNAS: Neural Architecture Search in Polynomial Complexity Yicheng Fan Dana Alon Jingyue Shen Daiyi Peng Keshav Kumar Yun Long Xin Wang Fotis Iliopoulos Da-Cheng Juan Erik Vee 67 2 0 23 Apr 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 63 40 0 22 Apr 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 90 16 0 21 Apr 2023
Can GPT-4 Perform Neural Architecture Search? Mingkai Zheng Xiu Su Shan You Fei Wang Chao Qian Chang Xu Samuel Albanie ELM 113 59 0 21 Apr 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction Guan-Hong Chen Zhenhao Chen Shunxing Fan Kun Zhang 58 25 0 09 Apr 2023
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 69 1 0 15 Mar 2023
Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks Dat Phan-Trong Hung The Tran Sunil R. Gupta 63 8 0 03 Mar 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Tengjiao Wang BDL 76 31 0 12 Feb 2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation David W. Romero Neil Zeghidour AI4CE 56 4 0 10 Feb 2023
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer Dichao Liu T. Yamasaki Yu Wang K. Mase Jien Kato 82 27 0 09 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets Yiheng Zhu Jialun Wu Chaowen Hu Jiahuan Yan Chang-Yu Hsieh Tingjun Hou Jian Wu 102 36 0 08 Feb 2023
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration O. Boyar Ichiro Takeuchi BDL 60 3 0 05 Feb 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 62 14 0 03 Feb 2023
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao Xuefei Ning En-hao Liu Binxin Ru Zixuan Zhou Tianchen Zhao Chen Chen Jiajin Zhang Q. Liao Yu Wang AI4CE 75 2 0 02 Feb 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning Han Zhou Xingchen Wan Ivan Vulić Anna Korhonen 81 48 0 28 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 115 2 0 26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li Yuedong Yang Kartikeya Bhardwaj R. Marculescu 117 63 0 26 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 129 142 0 20 Jan 2023
DQNAS: Neural Architecture Search using Reinforcement Learning Anshumaan Chauhan S. Bhattacharyya S. Vadivel OOD 34 3 0 17 Jan 2023
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 95 8 0 13 Dec 2022
Slimmable Pruned Neural Networks Hideaki Kuratsu Atsuyoshi Nakamura 94 2 0 07 Dec 2022
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels Antonio Candelieri Andrea Ponti Francesco Archetti 88 1 0 02 Dec 2022
Global Optimization with Parametric Function Approximation Chong Liu Yu Wang 65 7 0 16 Nov 2022
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Simon Schrodi Daniel Stoll Binxin Ru R. Sukthanker Thomas Brox Frank Hutter 103 5 0 03 Nov 2022
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 83 6 0 02 Nov 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport M. Bitzer Mona Meister Christoph Zimmer 84 9 0 21 Oct 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms Rahul Duggal Hao Zhou Shuo Yang Jun Fang Yuanjun Xiong Wei Xia UQCV 79 1 0 27 Sep 2022
Bayesian Neural Network Language Modeling for Speech Recognition Boyang Xue Shoukang Hu Junhao Xu Mengzhe Geng Xunying Liu Helen M. Meng UQCV BDL 119 18 0 28 Aug 2022
Wasserstein Task Embedding for Measuring Task Similarities Xinran Liu Yikun Bai Yuzhe Lu Andrea Soltoggio Soheil Kolouri OT 88 25 0 24 Aug 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 66 7 0 20 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization Lennart Schneider Florian Pfisterer P. Kent Juergen Branke B. Bischl Janek Thomas AI4CE 81 3 0 30 Jul 2022
Automated machine learning for borehole resistivity measurements M. Shahriari David Pardo S. Kargaran T. Teijeiro AI4CE 40 3 0 20 Jul 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 79 19 0 19 Jul 2022
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning Paul Novello Gaël Poëtte D. Lugato P. Congedo 58 17 0 13 Jul 2022
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization Trong Duong Sang T. Truong Minh Tam B. Bach Juno Ryu J. Rhee 84 18 0 28 Jun 2022
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search Taehyeon Kim Heesoo Myeong Se-Young Yun 74 2 0 27 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 82 232 0 07 Jun 2022
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm Yanfei Li Tong Geng S. Stein Ang Li Hui-Ling Yu MQ 75 8 0 05 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 90 44 0 03 Jun 2022