Challenge design roadmap

Challenge design roadmap

15 January 2024

Hugo Jair Escalante

Isabelle M Guyon

Sébastien Treguer

Papers citing "Challenge design roadmap"

10 / 10 papers shown

Title
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 63 12 0 15 Jun 2022
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Zhengying Liu Adrien Pavao Zhen Xu Sergio Escalera Fabio Ferreira ... Peng Wang Chenglin Wu Youcheng Xiong Arber Zela Yang Zhang AAML 62 26 0 11 Jan 2022
Learning to run a Power Network Challenge: a Retrospective Analysis Antoine Marot Benjamin Donnot Gabriel Dulac-Arnold A. Kelly A. O'Sullivan J. Viebahn M. Awad Isabelle M Guyon P. Panciatici Camilo Romero 32 77 0 02 Mar 2021
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 86 106 0 15 Oct 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 69 387 0 23 Jan 2020
Learning to run a power network challenge for training topology controllers Antoine Marot Benjamin Donnot Camilo Romero Luca Veyrin-Forrer Marvin Lerousseau Balthazar Donon Isabelle M Guyon 44 76 0 05 Dec 2019
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 189 1,069 0 06 Dec 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 214 2,158 0 23 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 203 4,035 0 16 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017