98 citations · 264 across the 24 of their papers we have counts for
8 papers · 1 filter
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…
Robust Long-Tailed Learning under Label Noise
Tong Wei, Jiang-Xin Shi, Wei-Wei Tu +1
Long-tailed learning has attracted much attention recently, with the goal of improving generalisation for tail classes. Most existing works use supervised learning without consider…
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
Xiawei Guo, Yuhan Quan, Huan Zhao +3
Tabular data prediction (TDP) is one of the most popular industrial applications, and various methods have been designed to improve the prediction performance. However, existing wo…
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…
Search to aggregate neighborhood for graph neural network
Huan Zhao, Quanming Yao, Weiwei Tu
Recent years have witnessed the popularity and success of graph neural networks (GNN) in various scenarios. To obtain data-specific GNN architectures, researchers turn to neural ar…
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
Jingsong Wang, Yuxuan He, Chunyu Zhao +5
Auto-KWS 2021 challenge calls for automated machine learning (AutoML) solutions to automate the process of applying machine learning to a customized keyword spotting task. Compared…