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1711.09846
Cited By
Population Based Training of Neural Networks
27 November 2017
Max Jaderberg
Valentin Dalibard
Simon Osindero
Wojciech M. Czarnecki
Jeff Donahue
Ali Razavi
Oriol Vinyals
Tim Green
Iain Dunning
Karen Simonyan
Chrisantha Fernando
Koray Kavukcuoglu
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Papers citing
"Population Based Training of Neural Networks"
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Title
Hyperparameter optimization of data-driven AI models on HPC systems
Eric Wulff
M. Girone
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02 Mar 2022
Amortized Proximal Optimization
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Paul Vicol
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28 Feb 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn
Alper Yegenoglu
Anand Subramoney
T. Hater
Cristian Jimenez-Romero
W. Klijn
Aarn Pérez Martín
Michiel A. van der Vlag
Michael Herty
A. Morrison
Sandra Díaz-Pier
29
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0
28 Feb 2022
Gradient-free Multi-domain Optimization for Autonomous Systems
Hongrui Zheng
Johannes Betz
Rahul Mangharam
22
7
0
28 Feb 2022
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models
A. Treacher
A. Montillo
27
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24 Feb 2022
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration
André Biedenkapp
Nguyen Dang
Martin S. Krejca
Frank Hutter
Carola Doerr
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07 Feb 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search
Hyunghun Cho
Jungwook Shin
Wonjong Rhee
40
7
0
07 Feb 2022
An Automated Question-Answering Framework Based on Evolution Algorithm
Sinan Tan
Hui Xue
Qiyu Ren
Huaping Liu
Jing Bai
24
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0
26 Jan 2022
Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks
Tarek Faycal
Claudio Zito
17
2
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13 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
35
100
0
11 Jan 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol
Luke Metz
Jascha Narain Sohl-Dickstein
27
68
0
27 Dec 2021
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
32
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0
22 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
34
26
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16 Dec 2021
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters
Sami Alabed
Eiko Yoneki
23
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A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator
Malte Lehna
Bjorn Hoppmann
René Heinrich
Christoph Scholz
21
16
0
26 Nov 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Nicolai Dorka
Tim Welschehold
Joschka Boedecker
Wolfram Burgard
OffRL
32
9
0
24 Nov 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
A. Hernández
I. Nieuwenhuyse
Sebastian Rojas Gonzalez
23
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23 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation
Misgana Negassi
Diane Wagner
A. Reiterer
19
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31 Oct 2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Feng Zhu
Andrew R. Sedler
Harrison A. Grier
Nauman Ahad
Mark A. Davenport
Matthew T. Kaufman
Andrea Giovannucci
C. Pandarinath
30
10
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29 Oct 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross M. Clarke
E. T. Oldewage
José Miguel Hernández-Lobato
36
9
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20 Oct 2021
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
124
161
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15 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
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05 Oct 2021
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
Vincent Dumont
Casey Garner
Anuradha Trivedi
Chelsea Jones
V. Ganapati
Juliane Mueller
T. Perciano
Mariam Kiran
Marcus Day
16
5
0
04 Oct 2021
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Jee-weon Jung
Hee-Soo Heo
Hemlata Tak
Hye-jin Shim
Joon Son Chung
Bong-Jin Lee
Ha-Jin Yu
Nicholas W. D. Evans
157
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04 Oct 2021
Matching with Transformers in MELT
S. Hertling
Jan Portisch
Heiko Paulheim
39
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15 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
Chuangchuang Sun
Dong-Ki Kim
Jonathan P. How
AAML
35
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14 Sep 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
33
83
0
20 Aug 2021
Representation learning for neural population activity with Neural Data Transformers
Joel Ye
C. Pandarinath
AI4TS
AI4CE
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53
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02 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
55
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27 Jul 2021
An overview of mixing augmentation methods and augmentation strategies
Dominik Lewy
Jacek Mańdziuk
33
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21 Jul 2021
MedGPT: Medical Concept Prediction from Clinical Narratives
Z. Kraljevic
Anthony Shek
D. Bean
R. Bendayan
J. Teo
Richard J. B. Dobson
LM&MA
AI4TS
MedIm
25
39
0
07 Jul 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
23
367
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16 Jun 2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Jiangning Zhang
Chao Xu
Jian Li
Wenzhou Chen
Yabiao Wang
Ying Tai
Shuo Chen
Chengjie Wang
Feiyue Huang
Yong Liu
40
22
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31 May 2021
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
31
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25 May 2021
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Yuchen Jin
Dinesh Manocha
Liangyu Zhao
Yibo Zhu
Chuanxiong Guo
Marco Canini
Arvind Krishnamurthy
37
18
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22 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
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03 May 2021
RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters
Daniel Weber
C. Gühmann
Thomas Seel
23
35
0
15 Apr 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto
Ruslan Salakhutdinov
42
44
0
04 Apr 2021
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB
Sami Alabed
Eiko Yoneki
21
17
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30 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Bangnig Zhang
Raghunandan Rajan
Luis Pineda
Nathan Lambert
André Biedenkapp
Kurtland Chua
Frank Hutter
Roberto Calandra
29
100
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26 Feb 2021
Training Learned Optimizers with Randomly Initialized Learned Optimizers
Luke Metz
C. Freeman
Niru Maheswaranathan
Jascha Narain Sohl-Dickstein
43
12
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14 Jan 2021
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
Valerio Perrone
Huibin Shen
Aida Zolic
I. Shcherbatyi
Amr Ahmed
...
Barbara Pogorzelska
Miroslav Miladinovic
K. Kenthapadi
Matthias Seeger
Cédric Archambeau
45
16
0
15 Dec 2020
EvoCraft: A New Challenge for Open-Endedness
Djordje Grbic
Rasmus Berg Palm
Elias Najarro
Claire Glanois
S. Risi
27
30
0
08 Dec 2020
Meta-learning in natural and artificial intelligence
Jane X. Wang
30
111
0
26 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval
J. Uesato
Ramana Kumar
Victoria Krakovna
Tom Everitt
Richard Ngo
Shane Legg
28
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17 Nov 2020
Effective Regularization Through Loss-Function Metalearning
Santiago Gonzalez
Risto Miikkulainen
34
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02 Oct 2020
Hidden Incentives for Auto-Induced Distributional Shift
David M. Krueger
Tegan Maharaj
Jan Leike
13
49
0
19 Sep 2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
L. Hertel
Pierre Baldi
D. Gillen
BDL
31
12
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29 Jul 2020
Hyperparameter Selection for Offline Reinforcement Learning
T. Paine
Cosmin Paduraru
Andrea Michi
Çağlar Gülçehre
Konrad Zolna
Alexander Novikov
Ziyun Wang
Nando de Freitas
GP
OffRL
49
146
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17 Jul 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization
Yimin Huang
Yujun Li
Hanrong Ye
Zhenguo Li
Zhihua Zhang
32
7
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11 Jul 2020
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