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BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

25 October 2019
Colin White
Willie Neiswanger
Yash Savani
    BDL
ArXivPDFHTML

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

50 / 162 papers shown
Title
Efficient Search of Comprehensively Robust Neural Architectures via
  Multi-fidelity Evaluation
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation
Jialiang Sun
Wen Yao
Tingsong Jiang
Xiaoqian Chen
AAML
43
9
0
12 May 2023
NUBO: A Transparent Python Package for Bayesian Optimization
NUBO: A Transparent Python Package for Bayesian Optimization
Mike Diessner
Kevin J. Wilson
Richard D. Whalley
54
2
0
11 May 2023
LA3: Efficient Label-Aware AutoAugment
LA3: Efficient Label-Aware AutoAugment
Mingjun Zhao
Sha Lu
Zixuan Wang
Xiaoli Wang
Di Niu
32
1
0
20 Apr 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory
  Prediction
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
Guan-Hong Chen
Zhenhao Chen
Shunxing Fan
Kun Zhang
28
22
0
09 Apr 2023
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look
  Into Operation Importance
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance
Vasco Lopes
Bruno Degardin
L. A. Alexandre
32
5
0
29 Mar 2023
Deep Ranking Ensembles for Hyperparameter Optimization
Deep Ranking Ensembles for Hyperparameter Optimization
Abdus Salam Khazi
Sebastian Pineda Arango
Josif Grabocka
BDL
44
7
0
27 Mar 2023
Bayesian Quadrature for Neural Ensemble Search
Bayesian Quadrature for Neural Ensemble Search
Saad Hamid
Xingchen Wan
Martin Jørgensen
Binxin Ru
Michael A. Osborne
BDL
UQCV
38
1
0
15 Mar 2023
Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks
Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks
Dat Phan-Trong
Hung The Tran
Sunil R. Gupta
38
6
0
03 Mar 2023
An algorithmic framework for the optimization of deep neural networks
  architectures and hyperparameters
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
Julie Keisler
El-Ghazali Talbi
Sandra Claudel
Gilles Cabriel
34
6
0
27 Feb 2023
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
Shenghe Zheng
Hongzhi Wang
Tianyu Mu
40
1
0
25 Feb 2023
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for
  Hyperparameter Optimization in Deep Convolutional Neural Network
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network
An Chen
Zhigang Ren
Muyi Wang
Hui Chen
Haoxi Leng
Shuai Liu
28
2
0
25 Feb 2023
A General-Purpose Transferable Predictor for Neural Architecture Search
A General-Purpose Transferable Predictor for Neural Architecture Search
Fred X. Han
Keith G. Mills
Fabián A. Chudak
Parsa Riahi
Mohammad Salameh
Jialin Zhang
Wei Lu
Shangling Jui
Di Niu
AI4CE
OOD
20
2
0
21 Feb 2023
Unified Functional Hashing in Automatic Machine Learning
Unified Functional Hashing in Automatic Machine Learning
Ryan Gillard
S. Jonany
Yingjie Miao
Michael Munn
Connal de Souza
Jonathan Dungay
Chen Liang
David R. So
Quoc V. Le
Esteban Real
26
2
0
10 Feb 2023
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"
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
37
2
0
02 Feb 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient
  Fine-Tuning
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
Han Zhou
Xingchen Wan
Ivan Vulić
Anna Korhonen
29
45
0
28 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep
  Learning Models on Edge Devices
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices
Yuji Chai
Devashree Tripathy
Chu Zhou
Dibakar Gope
Igor Fedorov
Ramon Matas
David Brooks
Gu-Yeon Wei
P. Whatmough
GNN
37
4
0
26 Jan 2023
Neural Architecture Search: Insights from 1000 Papers
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
36
130
0
20 Jan 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Yizhou Sun
41
12
0
14 Jan 2023
Quant 4.0: Engineering Quantitative Investment with Automated,
  Explainable and Knowledge-driven Artificial Intelligence
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence
Jian Guo
Saizhuo Wang
L. Ni
H. Shum
AIFin
24
8
0
13 Dec 2022
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design
  Framework
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework
Shikhar Tuli
Chia-Hao Li
Ritvik Sharma
N. Jha
43
15
0
07 Dec 2022
AIO-P: Expanding Neural Performance Predictors Beyond Image
  Classification
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification
Keith G. Mills
Di Niu
Mohammad Salameh
Weichen Qiu
Fred X. Han
Puyuan Liu
Jialin Zhang
Wei Lu
Shangling Jui
38
7
0
30 Nov 2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
Keith G. Mills
Fred X. Han
Jialin Zhang
Fabián A. Chudak
A. Mamaghani
Mohammad Salameh
Wei Lu
Shangling Jui
Di Niu
27
4
0
30 Nov 2022
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep
  Graph Generative Models
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models
Muchen Li
Jeffrey Liu
Leonid Sigal
Renjie Liao
GNN
19
4
0
28 Nov 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed
  Bandit with Constraints
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
Heng Guo
Qi Zhu
Xin Liu
34
11
0
27 Nov 2022
MEESO: A Multi-objective End-to-End Self-Optimized Approach for
  Automatically Building Deep Learning Models
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models
Thanh-Phuong Pham
20
0
0
20 Nov 2022
NAR-Former: Neural Architecture Representation Learning towards Holistic
  Attributes Prediction
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
Yun Yi
Haokui Zhang
Wenze Hu
Nannan Wang
Xiaoyu Wang
AI4TS
AI4CE
32
8
0
15 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
Xuan Rao
Bo Zhao
Xiaosong Yi
77
4
0
11 Nov 2022
Construction of Hierarchical Neural Architecture Search Spaces based on
  Context-free Grammars
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
Simon Schrodi
Daniel Stoll
Binxin Ru
R. Sukthanker
Thomas Brox
Frank Hutter
48
5
0
03 Nov 2022
Speeding up NAS with Adaptive Subset Selection
Speeding up NAS with Adaptive Subset Selection
Vishak Prasad
Colin White
P. Jain
Sibasis Nayak
Ganesh Ramakrishnan
BDL
28
5
0
02 Nov 2022
Efficient Automatic Machine Learning via Design Graphs
Efficient Automatic Machine Learning via Design Graphs
Shirley Wu
Jiaxuan You
J. Leskovec
Rex Ying
GNN
19
1
0
21 Oct 2022
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face
  Recognition
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
Samuel Dooley
R. Sukthanker
John P. Dickerson
Colin White
Frank Hutter
Micah Goldblum
CVBM
24
21
0
18 Oct 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Thomas C. P. Chau
L. Dudziak
Hongkai Wen
Nicholas D. Lane
Mohamed S. Abdelfattah
30
13
0
13 Oct 2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Arjun Krishnakumar
Colin White
Arber Zela
Renbo Tu
Mahmoud Safari
Frank Hutter
55
40
0
06 Oct 2022
Automatic and effective discovery of quantum kernels
Automatic and effective discovery of quantum kernels
Massimiliano Incudini
Daniele Lizzio Bosco
F. Martini
Michele Grossi
Giuseppe Serra
Alessandra Di Pierro
36
4
0
22 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures
On the Privacy Risks of Cell-Based NAS Architectures
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
33
7
0
04 Sep 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms,
  Applications and Open Issues
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Nan Li
Lianbo Ma
Guo-Ding Yu
Bing Xue
Mengjie Zhang
Yaochu Jin
37
70
0
23 Aug 2022
Bayesian Optimization with Informative Covariance
Bayesian Optimization with Informative Covariance
Afonso Eduardo
Michael U. Gutmann
24
3
0
04 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization
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
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
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN
  Execution
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution
Taeho Kim
Yongin Kwon
Jemin Lee
Taeho Kim
Sangtae Ha
35
2
0
04 Jul 2022
Quantum Neural Architecture Search with Quantum Circuits Metric and
  Bayesian Optimization
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
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search
Taehyeon Kim
Heesoo Myeong
Se-Young Yun
37
2
0
27 Jun 2022
A General Recipe for Likelihood-free Bayesian Optimization
A General Recipe for Likelihood-free Bayesian Optimization
Jiaming Song
Lantao Yu
Willie Neiswanger
Stefano Ermon
38
23
0
27 Jun 2022
EmProx: Neural Network Performance Estimation For Neural Architecture
  Search
EmProx: Neural Network Performance Estimation For Neural Architecture Search
G. Franken
Prabhant Singh
Joaquin Vanschoren
16
0
0
13 Jun 2022
Multifidelity Reinforcement Learning with Control Variates
Multifidelity Reinforcement Learning with Control Variates
Sami Khairy
Prasanna Balaprakash
OffRL
36
5
0
10 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
40
41
0
03 Jun 2022
FlexiBERT: Are Current Transformer Architectures too Homogeneous and
  Rigid?
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?
Shikhar Tuli
Bhishma Dedhia
Shreshth Tuli
N. Jha
32
14
0
23 May 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular
  Datasets
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Chengrun Yang
Gabriel Bender
Hanxiao Liu
Pieter-Jan Kindermans
Madeleine Udell
Yifeng Lu
Quoc V. Le
Da Huang
LMTD
27
7
0
15 Apr 2022
EAutoDet: Efficient Architecture Search for Object Detection
EAutoDet: Efficient Architecture Search for Object Detection
Xiaoxing Wang
Jiale Lin
Junchi Yan
Juanping Zhao
Xiaokang Yang
34
23
0
21 Mar 2022
On Redundancy and Diversity in Cell-based Neural Architecture Search
On Redundancy and Diversity in Cell-based Neural Architecture Search
Xingchen Wan
Binxin Ru
Pedro M. Esperancca
Zhenguo Li
35
20
0
16 Mar 2022
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