output
20132021
most citedCodabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platform

98 citations

8 papers

cs.LG2021★ 98 cited

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platform

Zhen Xu, Sergio Escalera, Isabelle Guyon +5

Obtaining standardized crowdsourced benchmark of computational methods is a major issue in data science communities. Dedicated frameworks enabling fair benchmarking in a unified en…

cs.LG2021

AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge

Zhen Xu, Wei-Wei Tu, Isabelle Guyon

Analyzing better time series with limited human effort is of interest to academia and industry. Driven by business scenarios, we organized the first Automated Time Series Regressio…

cs.LG2021★ 26 cited

The Tracking Machine Learning challenge : Throughput phase

Sabrina Amrouche, Laurent Basara, Paolo Calafiura +18

This paper reports on the second "Throughput" phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first "Accuracy" phase, the participants…

cs.CV2019★ 37 cited

ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

Jun Wan, Chi Lin, Longyin Wen +7

The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and I…

hep-ex2019★ 65 cited

The Tracking Machine Learning challenge : Accuracy phase

Sabrina Amrouche, Laurent Basara, Paolo Calafiura +24

This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the tr…

stat.ML2018★ 27 cited

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon +2

A new causal discovery method, Structural Agnostic Modeling (SAM), is presented in this paper. Leveraging both conditional independencies and distributional asymmetries, SAM aims t…

cs.CV2018★ 34 cited

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah +14

Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analy…

cs.CV2013★ 9 cited

Principal motion components for gesture recognition using a single-example

Hugo Jair Escalante, Isabelle Guyon, Vassilis Athitsos +2

This paper introduces principal motion components (PMC), a new method for one-shot gesture recognition. In the considered scenario a single training-video is available for each ges…