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
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 21 15 0 16 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 28 5 0 10 Mar 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision T. Elsken Arber Zela J. H. Metzen B. Staffler Thomas Brox Abhinav Valada Frank Hutter OOD 33 17 0 15 Feb 2022
Model Architecture Adaption for Bayesian Neural Networks Duo Wang Yiren Zhao Ilia Shumailov Robert D. Mullins UQCV OOD BDL 18 0 0 09 Feb 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search Hyunghun Cho Jungwook Shin Wonjong Rhee 27 7 0 07 Feb 2022
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Yash Mehta Colin White Arber Zela Arjun Krishnakumar Guri Zabergja Shakiba Moradian Mahmoud Safari Kaicheng Yu Frank Hutter 24 41 0 31 Jan 2022
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models Xiaofan Zhang Zongwei Zhou Deming Chen Yu Emma Wang 26 11 0 21 Jan 2022
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale Yang Li Yu Shen Huaijun Jiang Wentao Zhang Jixiang Li Ji Liu Ce Zhang Bin Cui 25 26 0 18 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Training BatchNorm Only in Neural Architecture Search and Beyond Yichen Zhu Jie Du Yuqin Zhu Yi Wang Zhicai Ou Feifei Feng Jian Tang 28 1 0 01 Dec 2021
NAS-Bench-x11 and the Power of Learning Curves Shen Yan Colin White Yash Savani Frank Hutter 19 28 0 05 Nov 2021
Bayesian Optimization and Deep Learning forsteering wheel angle prediction Alessandro Riboni Nicolò Ghioldi Antonio Candelieri M. Borrotti LLMSV 19 10 0 22 Oct 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies Yu Shen Yang Li Jian Zheng Wentao Zhang Peng Yao Jixiang Li Sen Yang Ji Liu Cui Bin AI4CE 37 30 0 20 Oct 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters Yoichi Hirose Nozomu Yoshinari Shinichi Shirakawa 16 13 0 19 Oct 2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu Nicholas Roberts M. Khodak Jun Shen Frederic Sala Ameet Talwalkar 15 33 0 12 Oct 2021
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 24 5 0 30 Sep 2021
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search Keith G. Mills Fred X. Han Jialin Zhang Seyed Saeed Changiz Rezaei Fabián A. Chudak Wei Lu Shuo Lian Shangling Jui Di Niu 14 8 0 25 Sep 2021
YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization Florian Pfisterer Lennart Schneider Julia Moosbauer Martin Binder B. Bischl 27 35 0 08 Sep 2021
Approximate Bayesian Optimisation for Neural Networks N. Hassen Irina Rish 6 1 0 27 Aug 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving Ruochen Wang Xiangning Chen Minhao Cheng Xiaocheng Tang Cho-Jui Hsieh 33 13 0 18 Aug 2021
Is Differentiable Architecture Search truly a One-Shot Method? Jonas Geiping Jovita Lukasik M. Keuper Michael Moeller 25 0 0 12 Aug 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 79 448 0 13 Jul 2021
Mutation is all you need Lennart Schneider Florian Pfisterer Martin Binder B. Bischl BDL 47 4 0 04 Jul 2021
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization David Eriksson P. Chuang Sam Daulton Peng Xia Akshat Shrivastava Arun Babu Shicong Zhao Ahmed Aly Ganesh Venkatesh Maximilian Balandat BDL 10 16 0 22 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures Debadeepta Dey Shital C. Shah Sébastien Bubeck OOD 22 4 0 07 Jun 2021
Generative Adversarial Neural Architecture Search Seyed Saeed Changiz Rezaei Fred X. Han Di Niu Mohammad Salameh Keith G. Mills Shuo Lian Wei Lu Shangling Jui 15 12 0 19 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
Conditional super-network weights Kevin Laube A. Zell 11 0 0 23 Apr 2021
How Powerful are Performance Predictors in Neural Architecture Search? Colin White Arber Zela Binxin Ru Yang Liu Frank Hutter 14 126 0 02 Apr 2021
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning Kwanghee Choi Minyoung Choe Hyelee Lee SSL AI4CE 16 1 0 15 Mar 2021
Stronger NAS with Weaker Predictors Junru Wu Xiyang Dai Dongdong Chen Yinpeng Chen Mengchen Liu Ye Yu Zhangyang Wang Zicheng Liu Mei Chen Lu Yuan OOD 30 40 0 21 Feb 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 22 117 0 20 Feb 2021
BORE: Bayesian Optimization by Density-Ratio Estimation Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 35 26 0 17 Feb 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 22 24 0 14 Feb 2021
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation Luc Robbiano Muhammad Rameez Ur Rahman Fabio Galasso Barbara Caputo Fabio Maria Carlucci 16 16 0 12 Feb 2021
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks Jia-Wei Liu Yaochu Jin AAML OOD 10 36 0 16 Jan 2021
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit Alexander I. Cowen-Rivers Rasul Tutunov Ryan-Rhys Griffiths Jun Wang Haitham Bou-Ammar 17 13 0 15 Dec 2020
Optimizing the Neural Architecture of Reinforcement Learning Agents Nina Mazyavkina S. Moustafa I. Trofimov E. Burnaev AI4CE 12 4 0 30 Nov 2020
Efficient Sampling for Predictor-Based Neural Architecture Search Lukas Mauch Stephen Tiedemann Javier Alonso García Bac Nguyen Cong K. Yoshiyama Fabien Cardinaux Thomas Kemp 6 2 0 24 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 45 1,877 0 12 Nov 2020
Self-supervised Representation Learning for Evolutionary Neural Architecture Search Chen Wei Yiping Tang Chuang Niu Haihong Hu Yue Wang Jimin Liang 18 21 0 31 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks Jovita Lukasik David Friede Heiner Stuckenschmidt M. Keuper GNN AI4CE 35 10 0 19 Oct 2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search Jovita Lukasik David Friede Arber Zela Frank Hutter M. Keuper 26 19 0 09 Oct 2020
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks Arber Zela Julien N. Siems Lucas Zimmer Jovita Lukasik M. Keuper Frank Hutter 34 75 0 22 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 38 108 0 04 Aug 2020
A Study on Encodings for Neural Architecture Search Colin White W. Neiswanger Sam Nolen Yash Savani AI4CE 8 71 0 09 Jul 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 29 15 0 15 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 26 37 0 13 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru Xingchen Wan Xiaowen Dong Michael A. Osborne 17 21 0 13 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 30 99 0 12 Jun 2020