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Tune: A Research Platform for Distributed Model Selection and Training

Tune: A Research Platform for Distributed Model Selection and Training

13 July 2018
Richard Liaw
Eric Liang
Robert Nishihara
Philipp Moritz
Joseph E. Gonzalez
Ion Stoica
ArXivPDFHTML

Papers citing "Tune: A Research Platform for Distributed Model Selection and Training"

50 / 129 papers shown
Title
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce
  Order Fraud Evaluation
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
Soysal Degirmenci
Chris Jones
OffRL
27
1
0
05 Dec 2022
A Topological Deep Learning Framework for Neural Spike Decoding
A Topological Deep Learning Framework for Neural Spike Decoding
Edward C. Mitchell
Brittany Story
D. Boothe
P. Franaszczuk
Vasileios Maroulas
34
8
0
01 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for
  Dataset Bias with Noisy Labels
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Sumyeong Ahn
Se-Young Yun
NoLa
33
2
0
01 Dec 2022
Using uncertainty-aware machine learning models to study aerosol-cloud
  interactions
Using uncertainty-aware machine learning models to study aerosol-cloud interactions
Maelys Solal
Andrew Jesson
Y. Gal
A. Douglas
23
0
0
30 Nov 2022
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Arindam Jati
Vijayabharathi Ekambaram
Shaonli Pal
Brian Quanz
Wesley M. Gifford
Pavithra Harsha
Stuart Siegel
Sumanta Mukherjee
Chandra Narayanaswami
AI4TS
24
5
0
28 Nov 2022
Two Is Better Than One: Dual Embeddings for Complementary Product
  Recommendations
Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations
Giorgi Kvernadze
P. A. Sudyanti
N. Subedi
Mohammadtaghi Hajiaghayi
28
2
0
28 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust
  Neural Network
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Iordanis Fostiropoulos
Laurent Itti
45
1
0
26 Nov 2022
Language Model Classifier Aligns Better with Physician Word Sensitivity
  than XGBoost on Readmission Prediction
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction
Grace Yang
Mingzi Cao
L. Jiang
Xujin C. Liu
Alexander T. M. Cheung
Hannah Weiss
Davied Kurland
Kyunghyun Cho
Eric K. Oermann
LM&MA
18
3
0
13 Nov 2022
Gallery Filter Network for Person Search
Gallery Filter Network for Person Search
Lucas Jaffe
A. Zakhor
18
12
0
24 Oct 2022
Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial
  Neural Networks: A Deep Learning Approach
Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach
Daniel Gregorek
Nils Hülsmeier
Steffen Paul
AI4CE
11
0
0
16 Oct 2022
PyHopper -- Hyperparameter optimization
PyHopper -- Hyperparameter optimization
Mathias Lechner
Ramin Hasani
Philipp Neubauer
Sophie A. Neubauer
Daniela Rus
GP
29
5
0
10 Oct 2022
Single Image Super-Resolution Based on Capsule Neural Networks
Single Image Super-Resolution Based on Capsule Neural Networks
George Correa de Araujo
Hélio Pedrini
SupR
29
0
0
06 Oct 2022
An Interactive Interpretability System for Breast Cancer Screening with
  Deep Learning
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning
Yuzhe Lu
Adam Perer
24
3
0
30 Sep 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for
  Hyperparameter Tuning
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning
HyunJae Lee
Gihyeon Lee
Junh-Nam Kim
Sungjun Cho
Dohyun Kim
Donggeun Yoo
39
3
0
26 Sep 2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
Risto Vuorio
Jacob Beck
Shimon Whiteson
Jakob N. Foerster
Gregory Farquhar
33
8
0
22 Sep 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial
  Networks
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks
Blake Bullwinkel
Dylan Randle
P. Protopapas
David Sondak
24
3
0
15 Sep 2022
Deep Reinforcement Learning for Cryptocurrency Trading: Practical
  Approach to Address Backtest Overfitting
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
Berend Gort
Xiao-Yang Liu
Xinghang Sun
Jiechao Gao
Shuai Chen
Chris Wang
32
13
0
12 Sep 2022
Fair mapping
Fair mapping
Sébastien Gambs
Rosin Claude Ngueveu
42
0
0
01 Sep 2022
The Value of Out-of-Distribution Data
The Value of Out-of-Distribution Data
Ashwin De Silva
Rahul Ramesh
Carey E. Priebe
Pratik Chaudhari
Joshua T. Vogelstein
OODD
29
11
0
23 Aug 2022
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter
  Optimization
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen
Chi Wang
A. Saied
Rui Zhuang
19
2
0
04 Aug 2022
Character Generation through Self-Supervised Vectorization
Character Generation through Self-Supervised Vectorization
Gokcen Gokceoglu
Emre Akbas
25
0
0
03 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
26
56
0
01 Aug 2022
Graph Neural Networks for Channel Decoding
Graph Neural Networks for Channel Decoding
Sebastian Cammerer
J. Hoydis
Fayçal Ait Aoudia
Alexander Keller
GNN
35
27
0
29 Jul 2022
Stable Invariant Models via Koopman Spectra
Stable Invariant Models via Koopman Spectra
Takuya Konishi
Yoshinobu Kawahara
23
3
0
15 Jul 2022
Scene Text Recognition with Permuted Autoregressive Sequence Models
Scene Text Recognition with Permuted Autoregressive Sequence Models
Darwin Bautista
Rowel Atienza
28
169
0
14 Jul 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning
  Environments
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Mohan Zhang
Xiaozhou Wang
Benjamin Decardi-Nelson
Bo Song
A. Zhang
...
Jiayi Cheng
Xiaohong Liu
DengDeng Yu
Matthew Poon
Animesh Garg
26
4
0
17 Jun 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Ehsan Qasemi
Piyush Khanna
Qiang Ning
Muhao Chen
ReLM
LRM
30
8
0
16 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for
  Uncertainty-Aware Multimodal Emotion Recognition
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
M. Tellamekala
Shahin Amiriparian
Björn W. Schuller
Elisabeth André
T. Giesbrecht
M. Valstar
31
25
0
12 Jun 2022
Learning ReLU networks to high uniform accuracy is intractable
Learning ReLU networks to high uniform accuracy is intractable
Julius Berner
Philipp Grohs
F. Voigtlaender
32
4
0
26 May 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
Towards Learning Universal Hyperparameter Optimizers with Transformers
Yutian Chen
Xingyou Song
Chansoo Lee
Zehao Wang
Qiuyi Zhang
...
Greg Kochanski
Arnaud Doucet
MarcÁurelio Ranzato
Sagi Perel
Nando de Freitas
32
63
0
26 May 2022
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic
  literature review
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
Daniel Rosendo
Alexandru Costan
P. Valduriez
Gabriel Antoniu
17
80
0
29 Apr 2022
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect
  Estimates of Continuous-Valued Interventions
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions
Andrew Jesson
A. Douglas
P. Manshausen
Maelys Solal
N. Meinshausen
P. Stier
Y. Gal
Uri Shalit
CML
26
26
0
21 Apr 2022
Transformer-Based Self-Supervised Learning for Emotion Recognition
Transformer-Based Self-Supervised Learning for Emotion Recognition
Juan Vazquez-Rodriguez
G. Lefebvre
Julien Cumin
James L. Crowley
23
25
0
08 Apr 2022
A comparative study of non-deep learning, deep learning, and ensemble
  learning methods for sunspot number prediction
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction
Yuchen Dang
Ziqi Chen
Heng Li
Hai Shu
ELM
BDL
27
26
0
11 Mar 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural
  Networks
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
David Hin
Andrey Kan
Huaming Chen
M. Babar
31
159
0
10 Mar 2022
Hyperparameter optimization of data-driven AI models on HPC systems
Hyperparameter optimization of data-driven AI models on HPC systems
Eric Wulff
M. Girone
J. Pata
27
7
0
02 Mar 2022
Inference of Affordances and Active Motor Control in Simulated Agents
Inference of Affordances and Active Motor Control in Simulated Agents
Fedor Scholz
Christian Gumbsch
S. Otte
Martin Volker Butz
AI4CE
32
5
0
23 Feb 2022
CTMSTOU driven markets: simulated environment for regime-awareness in
  trading policies
CTMSTOU driven markets: simulated environment for regime-awareness in trading policies
Selim Amrouni
Aymeric Moulin
T. Balch
22
1
0
02 Feb 2022
Word Segmentation and Morphological Parsing for Sanskrit
Word Segmentation and Morphological Parsing for Sanskrit
Jingwen Li
Leander Girrbach
22
6
0
30 Jan 2022
BITES: Balanced Individual Treatment Effect for Survival data
BITES: Balanced Individual Treatment Effect for Survival data
Stefan Schrod
Andreas Schäfer
S. Solbrig
R. Lohmayer
W. Gronwald
P. Oefner
T. Beissbarth
Rainer Spang
H. Zacharias
Michael Altenbuchinger
CML
17
23
0
05 Jan 2022
Exploring Social Posterior Collapse in Variational Autoencoder for
  Interaction Modeling
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Chen Tang
Wei Zhan
Masayoshi Tomizuka
DRL
34
19
0
01 Dec 2021
On the Generalization of Agricultural Drought Classification from
  Climate Data
On the Generalization of Agricultural Drought Classification from Climate Data
Julia Gottfriedsen
M. Berrendorf
Pierre Gentine
Markus Reichstein
Katja Weigel
B. Hassler
Veronika Eyring
11
1
0
30 Nov 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point
  Clouds
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
Georg Bökman
Fredrik Kahl
Axel Flinth
3DPC
26
19
0
30 Nov 2021
A stacked deep convolutional neural network to predict the remaining
  useful life of a turbofan engine
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
D. Martín
Juan Galán Páez
J. Borrego-Díaz
14
13
0
24 Nov 2021
Advances in Neural Rendering
Advances in Neural Rendering
A. Tewari
Justus Thies
B. Mildenhall
P. Srinivasan
E. Tretschk
...
S. Fanello
Jun Zhu
Gordon Wetzstein
Michael Zollhoefer
D. B. Goldman
3DH
AI4CE
71
446
0
10 Nov 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural
  Network Weights for Model Characteristic Prediction
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
Damian Borth
SSL
41
14
0
28 Oct 2021
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in
  the Southeast Pacific
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific
Andrew Jesson
P. Manshausen
A. Douglas
D. Watson‐Parris
Y. Gal
P. Stier
AI4Cl
27
6
0
28 Oct 2021
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation
  and Application to Financial Markets
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets
Selim Amrouni
Aymeric Moulin
Jared Vann
Svitlana Vyetrenko
T. Balch
Manuela Veloso
AI4CE
32
42
0
27 Oct 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update
  Hyperparameters by Implicit Differentiation
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross M. Clarke
E. T. Oldewage
José Miguel Hernández-Lobato
31
9
0
20 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
45
0
0
19 Oct 2021
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