Joaquin Vanschoren
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
19
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Automatic Combination of Sample Selection Strategies for Few-Shot Learning. | Branislav Pecher, Ivan Srba, Mria Bielikov, Joaquin Vanschoren |
| 2026 | EACL | An Empirical Study of Speculative Decoding for Small Language Models. | Luca Mainardi, Seluk Sandikci, Joaquin Vanschoren |
| 2025 | DIS | Score Matching on Large Geometric Graphs for Cosmology Generation. | Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski |
| 2025 | ICLR | Unsupervised Meta-Learning via In-Context Learning. | Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, Marlena Nowaczyk |
| 2024 | ECCV | HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis. | Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren, Ran Piao |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. | Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren |
| 2023 | BMVC | Locality-Aware Hyperspectral Classification. | Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren |
| 2023 | CVPR | Are Labels Needed for Incremental Instance Learning? | Mert Kilickaya, Joaquin Vanschoren |
| 2023 | IJCAI | AutoML for Outlier Detection with Optimal Transport Distances. | Prabhant Singh, Joaquin Vanschoren |
| 2023 | SMC | An Analysis of Evolutionary Migration Models for Multi-Objective, Multi-Fidelity Automl. | Israel Campero-Jurado, Joaquin Vanschoren |
| 2022 | GECCO | Multi-fidelity optimization method with asynchronous generalized island model for AutoML. | Israel Campero-Jurado, Joaquin Vanschoren |
| 2021 | AAAI | Advances in MetaDL: AAAI 2021 Challenge and Workshop. | Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sbastien Treguer, Joaquin Vanschoren |
| 2021 | GECCO | Meta-learning for symbolic hyperparameter defaults. | Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren |
| 2018 | BMVC | Data Augmentation using Conditional Generative Adversarial Networks for Leaf Counting in Arabidopsis Plants. | Yezi Zhu, Marc Aoun, Marcel Krijn, Joaquin Vanschoren |
| 2015 | ICDM | Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams. | Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren |
| 2015 | IJCNN | To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning. | Rafael Gomes Mantovani, Andr Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, Andr C. P. L. F. de Carvalho |
| 2015 | IJCNN | Effectiveness of Random Search in SVM hyper-parameter tuning. | Rafael Gomes Mantovani, Andr Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, Andr C. P. L. F. de Carvalho |
| 2015 | IDA | Fast Algorithm Selection Using Learning Curves. | Jan N. van Rijn, Salisu Mamman Abdulrahman, Pavel Brazdil, Joaquin Vanschoren |
| 2015 | KDD | Taking machine learning research online with OpenML. | Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl |
| 2014 | DIS | Algorithm Selection on Data Streams. | Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren |
| 2014 | ECAI | Towards Meta-learning over Data Streams. | Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren |
| 2011 | IDA | Traffic Events Modeling for Structural Health Monitoring. | Ugo Vespier, Arno J. Knobbe, Joaquin Vanschoren, Shengfa Miao, Arne Koopman, Bas Obladen, Carlos Bosma |
| 2008 | ISoLA | Organizing the World's Machine Learning Information. | Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes |
| 2008 | PRICAI | Learning from the Past with Experiment Databases. | Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes |