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 / 127 papers shown

Title
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 34 2 0 08 Nov 2024
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 44 1 0 27 Sep 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 41 8 0 10 Jun 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 60 1 0 24 May 2024
CSCO: Connectivity Search of Convolutional Operators Tunhou Zhang Shiyu Li Hsin-Pai Cheng Feng Yan Hai Helen Li Yiran Chen 39 0 0 26 Apr 2024
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search Haoming Zhang Ran Cheng AI4CE GNN 37 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 38 0 0 30 Mar 2024
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions Suhan Cui Jiaqi Wang Yuan Zhong Han Liu Ting Wang Fenglong Ma 33 3 0 20 Jan 2024
Efficacy of Neural Prediction-Based Zero-Shot NAS Minh Le Nhan Nguyen N. H. Luong 29 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 34 31 0 31 Aug 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Mete Kemertas Allan D. Jepson Amir-massoud Farahmand OT 58 3 0 17 Jul 2023
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 31 4 0 08 Jun 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 27 36 0 22 Apr 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction Guan-Hong Chen Zhenhao Chen Shunxing Fan Kun Zhang 26 22 0 09 Apr 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 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 33 27 0 09 Feb 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 30 13 0 03 Feb 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning Han Zhou Xingchen Wan Ivan Vulić Anna Korhonen 29 45 0 28 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 55 2 0 26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li Yuedong Yang Kartikeya Bhardwaj R. Marculescu 38 61 0 26 Jan 2023
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 16 1 0 02 Dec 2022
Global Optimization with Parametric Function Approximation Chong Liu Yu Wang 36 7 0 16 Nov 2022
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 26 5 0 02 Nov 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport M. Bitzer Mona Meister Christoph Zimmer 12 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 36 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 44 14 0 28 Aug 2022
Wasserstein Task Embedding for Measuring Task Similarities Xinran Liu Yikun Bai Yuzhe Lu Andrea Soltoggio Soheil Kolouri OT 22 22 0 24 Aug 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 27 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 43 3 0 30 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 31 15 0 19 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 27 15 0 28 Jun 2022
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search Taehyeon Kim Heesoo Myeong Se-Young Yun 37 2 0 27 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 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 31 8 0 05 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 40 41 0 03 Jun 2022
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus Boyang Albert Li Qing Lu Weiwen Jiang Taeho Jung Yiyu Shi 36 5 0 05 May 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 33 17 0 19 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 31 15 0 16 Mar 2022
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions Xin-Yue Fan Zi Li Ziyang Li Xiaolin Wang Risheng Liu Zhongxuan Luo Hao Huang 21 11 0 14 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 46 5 0 10 Mar 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 21 10 0 02 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 40 17 0 15 Feb 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 29 145 0 20 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 34 26 0 16 Dec 2021
Manas: Mining Software Repositories to Assist AutoML Giang Nguyen Johir Islam Rangeet Pan Hridesh Rajan 51 15 0 06 Dec 2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition Junhao Xu Jianwei Yu Shoukang Hu Xunying Liu Helen Meng MQ 30 13 0 29 Nov 2021
In Search of Probeable Generalization Measures Jonathan Jaegerman Khalil Damouni M. M. Ankaralı Konstantinos N. Plataniotis 32 2 0 23 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 42 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 25 13 0 19 Oct 2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 42 6 0 04 Oct 2021