PriorBand: Practical Hyperparameter Optimization in the Age of Deep
Learning

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

21 June 2023

Neeratyoy Mallik

Maciej Janowski

Marius Lindauer

Papers citing "PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning"

18 / 18 papers shown

Title
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Timur Carstensen Neeratyoy Mallik Frank Hutter Martin Rapp AI4CE 34 0 0 14 Apr 2025
Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans? R. Tao Haoyu Wang Yuzhe Guo Hechang Chen Li Zhang Xianglong Liu Y. X. Wei Yao-Min Zhao 81 1 0 27 Nov 2024
Towards certifiable AI in aviation: landscape, challenges, and opportunities Hymalai Bello Daniel Geißler L. Ray Stefan Muller-Divéky Peter Muller Shannon Kittrell Mengxi Liu Bo Zhou Paul Lukowicz 32 1 0 13 Sep 2024
LMEMs for post-hoc analysis of HPO Benchmarking Anton Geburek Neeratyoy Mallik Danny Stoll Xavier Bouthillier Frank Hutter 26 0 0 05 Aug 2024
Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation Tushar Prasanna Swaminathan Christopher Silver Thangarajah Akilan 26 6 0 25 Jun 2024
Primitive Agentic First-Order Optimization R. Sala 27 0 0 07 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 43 6 0 05 Jun 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler Lennart Schneider B. Bischl Matthias Feurer 47 2 0 24 May 2024
Don't Waste Your Time: Early Stopping Cross-Validation Eddie Bergman Lennart Purucker Frank Hutter 26 6 0 06 May 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 42 11 0 25 Apr 2024
Strong convexity-guided hyper-parameter optimization for flatter losses Rahul Yedida Snehanshu Saha 24 0 0 07 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 48 20 0 02 Feb 2024
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 47 12 0 24 Nov 2023
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning Joseph Giovanelli Alexander Tornede Tanja Tornede Marius Lindauer 32 6 0 07 Sep 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 41 23 0 13 Jun 2023
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 212 487 0 01 Oct 2021
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 255 580 0 12 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 307 39,238 0 01 Sep 2014