Joaquin Vanschoren
Technische Universiteit Eindhoven
H-index: 38
Europe-Netherlands
Top articles of Joaquin Vanschoren
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Can fairness be automated? Guidelines and opportunities for fairness-aware AutoML | Journal of Artificial Intelligence Research | Hilde Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Edward Bergman | 2024/2/17 |
Dataperf: Benchmarks for data-centric ai development | Advances in Neural Information Processing Systems | Mark Mazumder Colby Banbury Xiaozhe Yao Bojan Karlaš William Gaviria Rojas | 2024/2/13 |
Automatic Combination of Sample Selection Strategies for Few-Shot Learning | arXiv preprint arXiv:2402.03038 | Branislav Pecher Ivan Srba Maria Bielikova Joaquin Vanschoren | 2024/2/5 |
Introducing v0. 5 of the AI Safety Benchmark from MLCommons | arXiv preprint arXiv:2404.12241 | Bertie Vidgen Adarsh Agrawal Ahmed M Ahmed Victor Akinwande Namir Al-Nuaimi | 2024/4/18 |
Advances and challenges in meta-learning: A technical review | Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rognvaldsson KC Santosh | 2024/1/24 | |
Croissant: A Metadata Format for ML-Ready Datasets | arXiv preprint arXiv:2403.19546 | Mubashara Akhtar Omar Benjelloun Costanza Conforti Joan Giner-Miguelez Nitisha Jain | 2024/3/28 |
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates | CPAL 2024, Conference on Parsimony and Learning, arXiv:2308.14831 | Murat Onur Yildirim Elif Ceren Gok Yildirim Ghada Sokar Decebal Constantin Mocanu Joaquin Vanschoren | 2023/11/20 |
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts | arXiv preprint arXiv:2403.14684 | Murat Onur Yildirim Elif Ceren Gok Yildirim Decebal Constantin Mocanu Joaquin Vanschoren | 2024/3/13 |
Amlb: an automl benchmark | Journal of Machine Learning Research | Pieter Gijsbers Marcos LP Bueno Stefan Coors Erin LeDell Sébastien Poirier | 2024 |
Are Labels Needed for Incremental Instance Learning? | CVPR Workshop on Continual Learning | Mert Kilickaya Joaquin Vanschoren | 2023/1/26 |
Online automl: An adaptive automl framework for online learning | Machine Learning | Bilge Celik Prabhant Singh Joaquin Vanschoren | 2023/6 |
NeurIPS’22 cross-domain MetaDL challenge: Results and lessons learned | Dustin Carrión-Ojeda Mahbubul Alam Sergio Escalera Ahmed Farahat Dipanjan Ghosh | 2023/8/31 | |
Applications of Optimal Transport Distances in Unsupervised AutoML | Prabhant Singh Joaquin Vanschoren | 2023/12/28 | |
Automated Machine Learning Approach in Material Discovery of Hole Selective Layers for Perovskite Solar Cells | Energy Technology | Murat Onur Yildirim Elif Ceren Gok Yildirim Esin Eren Peng Huang Muhammed PU Haris | 2023/1 |
Neural architecture search for visual anomaly segmentation | arXiv preprint arXiv:2304.08975 | Tommie Kerssies Joaquin Vanschoren | 2023/4/18 |
AutoML for outlier detection with optimal transport distances | Prabhant Singh Joaquin Vanschoren | 2023/8/19 | |
DMLR: Data-centric Machine Learning Research--Past, Present and Future | arXiv preprint arXiv:2311.13028 | Luis Oala Manil Maskey Lilith Bat-Leah Alicia Parrish Nezihe Merve Gürel | 2023/11/21 |
Adaptive regularization for class-incremental learning | AutoML 2023 | Elif Ceren Gok Yildirim Murat Onur Yildirim Mert Kilickaya Joaquin Vanschoren | 2023/3/23 |
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization | arXiv preprint arXiv:2307.03565 | Jiarong Pan Stefan Falkner Felix Berkenkamp Joaquin Vanschoren | 2023/7/7 |
What Can AutoML Do For Continual Learning? | arXiv preprint | Mert Kilickaya Joaquin Vanschoren | 2023/11/20 |
Co-Authors
