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most citedLessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

7 citations · 16 across the 8 of their papers we have counts for

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stat.ML2023

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective

Yuxin Dong, Tieliang Gong, Hong Chen +1

Recently, information theoretic analysis has become a popular framework for understanding the generalization behavior of deep neural networks. It allows a direct analysis for stoch…

stat.ML2023

On the Stability and Generalization of Triplet Learning

Jun Chen, Hong Chen, Xue Jiang +4

Triplet learning, i.e. learning from triplet data, has attracted much attention in computer vision tasks with an extremely large number of categories, e.g., face recognition and pe…