Papers
53 papers found
AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks
Duc N.M Hoang, Kaixiong Zhou, Tianlong Chen et al.
Automated Super-Network Generation for Scalable Neural Architecture Search
Juan Pablo Munoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell et al.
Automatic Termination for Hyperparameter Optimization
Anastasia Makarova, Huibin Shen, Valerio Perrone et al.
Bayesian Generational Population-Based Training
Xingchen Wan, Cong Lu, Jack Parker-Holder et al.
BERT-Sort: A Zero-shot MLM Semantic Encoder on Ordinal Features for AutoML
Mehdi Bahrami, Wei-Peng Chen, Lei Liu et al.
DIFER: Differentiable Automated Feature Engineering
Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan et al.
Differentiable Architecture Search for Reinforcement Learning
Yingjie Miao, Xingyou Song, John D Co-Reyes et al.
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
Kenan Šehić, Alexandre Gramfort, Joseph Salmon et al.
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
Trapit Bansal, Salaheddin Alzubi, Tong Wang et al.
Non-Uniform Adversarially Robust Pruning
Qi Zhao, Tim Königl, Christian Wressnegger
Opening the Black Box: Automated Software Analysis for Algorithm Selection
Damir Pulatov, Marie Anastacio, Lars Kotthoff et al.
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
Xingyou Song, Sagi Perel, Chansoo Lee et al.
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation
Hsin-Pai Cheng, Feng Liang, Meng Li et al.
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
David Salinas, Matthias Seeger, Aaron Klein et al.
Tackling Neural Architecture Search With Quality Diversity Optimization
Lennart Schneider, Florian Pfisterer, Paul Kent et al.
What to expect of hardware metric predictors in NAS
Kevin Alexander Laube, Maximus Mutschler, Andreas Zell
When, where, and how to add new neurons to ANNs
Kaitlin Maile, Emmanuel Rachelson, Hervé Luga et al.
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
Florian Pfisterer, Lennart Schneider, Julia Moosbauer et al.
A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention
Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante et al.
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
A Strategy for Ranking Optimization Methods using Multiple Criteria
Ian Dewancker, Michael McCourt, Scott Clark et al.
Bayesian optimization for automated model selection
Gustavo Malkomes, Chip Schaff, Roman Garnett
Effect of Incomplete Meta-dataset on Average Ranking Method
Salisu Mamman Abdulrahman, Pavel Brazdil
Parameter-Free Convex Learning through Coin Betting
Francesco Orabona, Dávid Pál