Joaquin Vanschoren
12 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Cross-Pollinator (9) π Conference Polyglot (7) π§ Keyword Pioneer π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(21)
π
Conference Polyglot
(7)
π₯
Mega-Team
(71)
π
Century Club
(11)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
π
Trend Setter
Conferences
NIPS (3)
ICML (2)
JMLR (2)
AUTOML (1)
EACL (1)
ECCV (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
automated machine learning
(2)
machine learning
(2)
image segmentation
(1)
few-shot learning
(1)
model selection
(1)
benchmark suite
(1)
hyperparameter optimization
(1)
data quality
(1)
optimal transport
(1)
model evaluation
(1)
neural architecture search
(1)
outlier detection
(1)
transfer learning
(1)
language model
(1)
benchmark evaluation
(1)
edge computing
(1)
inference acceleration
(1)
speculative decoding
(1)
draft model
(1)
image classification
(1)
Papers
An Empirical Study of Speculative Decoding for Small Language Models
EACL 2026
Unsupervised Meta-Learning via In-Context Learning
ICLR 2025
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis
ECCV 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Croissant: A Metadata Format for ML-Ready Datasets
NIPS 2024
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
ICML 2024
AMLB: an AutoML Benchmark
JMLR 2024
DataPerf: Benchmarks for Data-Centric AI Development
NIPS 2023
AutoML for Outlier Detection with Optimal Transport Distances
IJCAI 2023
Neural Architecture Search for Visual Anomaly Segmentation
AUTOML 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
NIPS 2022
OpenML-Python: an extensible Python API for OpenML
JMLR 2021