Search Results for author: Zhi Kou

Found 4 papers, 2 papers with code

Zoo-Tuning: Adaptive Transfer from a Zoo of Models

no code implementations29 Jun 2021 Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long

We propose \emph{Zoo-Tuning} to address these challenges, which learns to adaptively transfer the parameters of pretrained models to the target task.

Facial Landmark Detection Image Classification +1

Stochastic Normalization

2 code implementations NeurIPS 2020 Zhi Kou, Kaichao You, Mingsheng Long, Jianmin Wang

During training, two branches are stochastically selected to avoid over-depending on some sample statistics, resulting in a strong regularization effect, which we interpret as ``architecture regularization.''

Co-Tuning for Transfer Learning

2 code implementations NeurIPS 2020 Kaichao You, Zhi Kou, Mingsheng Long, Jianmin Wang

Fine-tuning pre-trained deep neural networks (DNNs) to a target dataset, also known as transfer learning, is widely used in computer vision and NLP.

Image Classification Transfer Learning +1

Bi-tuning of Pre-trained Representations

no code implementations12 Nov 2020 Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long

It is common within the deep learning community to first pre-train a deep neural network from a large-scale dataset and then fine-tune the pre-trained model to a specific downstream task.

Contrastive Learning Unsupervised Pre-training

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