Optuna: A Next-generation Hyperparameter Optimization Framework

25 July 2019

Papers citing "Optuna: A Next-generation Hyperparameter Optimization Framework"

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Title
Blind Reverberation Time Estimation in Dynamic Acoustic Conditions Philipp Götz Cagdas Tuna Andreas Walther Emanuel Habets 21 14 0 23 Feb 2022
Short-answer scoring with ensembles of pretrained language models Christopher M. Ormerod 39 8 0 23 Feb 2022
Imbalanced Classification via Explicit Gradient Learning From Augmented Data Bronislav Yasinnik Moshe Salhov Ofir Lindenbaum Amir Averbuch 19 0 0 21 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Probing Pretrained Models of Source Code Sergey Troshin Nadezhda Chirkova ELM 27 38 0 16 Feb 2022
Navigating Local Minima in Quantized Spiking Neural Networks Jason K. Eshraghian Corey Lammie M. R. Azghadi Wei D. Lu 22 16 0 15 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks Sawinder Kaur Ferdinando Fioretto Asif Salekin 32 4 0 10 Feb 2022
LEAPMood: Light and Efficient Architecture to Predict Mood with Genetic Algorithm driven Hyperparameter Tuning Harichandana B S S Sumit Kumar 42 5 0 05 Feb 2022
Deep invariant networks with differentiable augmentation layers Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 27 8 0 04 Feb 2022
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System Michael Heider Helena Stegherr Jonathan Wurth Roman Sraj J. Hähner 4 10 0 03 Feb 2022
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes Sigrun May Sven Hartmann F. Klawonn 11 1 0 01 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 58 22 0 30 Jan 2022
The fine line between dead neurons and sparsity in binarized spiking neural networks Jason K. Eshraghian Wei D. Lu 46 19 0 28 Jan 2022
Writer Recognition Using Off-line Handwritten Single Block Characters A. L. Hagström Rustam Stanikzai J. Bigün F. Alonso-Fernandez 38 6 0 25 Jan 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 41 7 0 21 Jan 2022
A Comparative study of Hyper-Parameter Optimization Tools Shashank Shekhar Adesh Bansode Asif Salim 22 48 0 17 Jan 2022
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? Numan Saeed Shahad Hardan Kudaibergen Abutalip Mohammad Yaqub 21 16 0 16 Jan 2022
Do not rug on me: Zero-dimensional Scam Detection Bruno Mazorra Victor Adan Vanesa Daza 19 9 0 16 Jan 2022
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems Yoshitomo Matsubara Luca Soldaini Eric Lind Alessandro Moschitti 31 6 0 15 Jan 2022
Elastic Product Quantization for Time Series Pieter Robberechts Wannes Meert Jesse Davis 11 0 0 04 Jan 2022
Financial Vision Based Differential Privacy Applications Jun-Hao Chen Yi-Jen Wang Yun-Cheng Tsai Samuel Yen-Chi Chen FedML 21 1 0 28 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 31 26 0 16 Dec 2021
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net Yujia Ding Qidi Peng Zhengming Song Hansen Chen 50 6 0 14 Dec 2021
HiClass: a Python library for local hierarchical classification compatible with scikit-learn Fábio M. Miranda Niklas Köhnecke B. Renard 22 15 0 13 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 30 6 0 07 Dec 2021
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications Hugo Vinicius Bitencourt Luiz Augusto Facury de Souza Matheus Cascalho dos Santos Petrônio C. L. Silva F. G. Guimarães AI4TS 24 16 0 03 Dec 2021
Image-to-image Translation as a Unique Source of Knowledge Alejandro D. Mousist VLM 27 0 0 03 Dec 2021
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction Matthew Stevenson Christophe Mues Cristián Bravo 21 9 0 02 Dec 2021
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion Nobuhiko Wakai Satoshi Sato Yasunori Ishii Takayoshi Yamashita 19 8 0 25 Nov 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 23 95 0 23 Nov 2021
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs G. Edwards Sebastian Nilsson Benedek Rozemberczki Eliseo Papa 23 12 0 20 Nov 2021
Versatile Inverse Reinforcement Learning via Cumulative Rewards Niklas Freymuth P. Becker Gerhard Neumann 30 4 0 15 Nov 2021
Human-error-potential Estimation based on Wearable Biometric Sensors Hiroki Ohashi Hiroto Nagayoshi 17 0 0 15 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 55 56 0 08 Nov 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 61 340 0 27 Oct 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 45 0 0 19 Oct 2021
Vision Transformer based COVID-19 Detection using Chest X-rays Koushik Sivarama Krishnan Karthik Sivarama Krishnan ViT MedIm 36 54 0 09 Oct 2021
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations Keir Adams L. Pattanaik Connor W. Coley 31 32 0 08 Oct 2021
Unsupervised Image Decomposition with Phase-Correlation Networks Angel Villar-Corrales Sven Behnke OCL 35 4 0 07 Oct 2021
A Cough-based deep learning framework for detecting COVID-19 Hoang Van Truong L. D. Pham Dat Ngo Hoang-Dung Nguyen 35 7 0 07 Oct 2021
A Community Roadmap for Scientific Workflows Research and Development Rafael Ferreira da Silva Henri Casanova Kyle Chard I. Altintas Rosa M. Badia ... J. L. Peterson L. Ramakrishnan S. Soiland-Reyes D. Thain Matthew Wolf 49 38 0 05 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 47 650 0 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
Inductive learning for product assortment graph completion Haris Dukic Georgios Deligiorgis Pierpaolo Sepe D. Bacciu Marco Trincavelli CML 22 1 0 04 Oct 2021
An Expert System for Redesigning Software for Cloud Applications Rahul Yedida R. Krishna A. Kalia Tim Menzies Jin Xiao M. Vukovic 16 4 0 29 Sep 2021
Physical Context and Timing Aware Sequence Generating GANs Hayato Futase Tomoki Tsujimura Tetsuya Kajimoto Hajime Kawarazaki Toshiyuki Suzuki Makoto Miwa Yutaka Sasaki GAN 35 0 0 28 Sep 2021
Multifield Cosmology with Artificial Intelligence F. Villaescusa-Navarro D. Anglés-Alcázar S. Genel D. Spergel Yin Li ... Sultan Hassan J. Z. Matilla D. Narayanan R. Davé M. Vogelsberger AI4CE 38 20 0 20 Sep 2021
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection Matthew Matero Nikita Soni Niranjan Balasubramanian H. Andrew Schwartz 43 21 0 16 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 48 100 0 14 Sep 2021
Estimation of Local Average Treatment Effect by Data Combination Kazuhiko Shinoda T. Hoshino 21 1 0 11 Sep 2021