Search Results for author: Mingze Gao

Found 6 papers, 3 papers with code

Tuning Pre-trained Model via Moment Probing

1 code implementation ICCV 2023 Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, QinGhua Hu, Jingbo Zhou

Distinguished from LP which builds a linear classification head based on the mean of final features (e. g., word tokens for ViT) or classification tokens, our MP performs a linear classifier on feature distribution, which provides the stronger representation ability by exploiting richer statistical information inherent in features.

Image Classification

AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations

1 code implementation11 Apr 2023 Danwei Li, Zhengyu Zhang, Siyang Yuan, Mingze Gao, Weilin Zhang, Chaofei Yang, Xi Liu, Jiyan Yang

However, MTL research faces two challenges: 1) effectively modeling the relationships between tasks to enable knowledge sharing, and 2) jointly learning task-specific and shared knowledge.

Multi-Task Learning

DropCov: A Simple yet Effective Method for Improving Deep Architectures

1 code implementation NeurIPS 2022 Conference 2023 Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, QinGhua Hu

Particularly, we for the first time show that \textit{effective post-normalization can make a good trade-off between representation decorrelation and information preservation for GCP, which are crucial to alleviate over-fitting and increase representation ability of deep GCP networks, respectively}.

Demand Response Method Considering Multiple Types of Flexible Loads in Industrial Parks

no code implementations24 May 2022 Jia Cui, Mingze Gao, Xiaoming Zhou, Yang Li, Wei Liu, Jiazheng Tian, XiMing Zhang

With the rapid development of the energy internet, the proportion of flexible loads in smart grid is getting much higher than before.

Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study

no code implementations8 Oct 2020 Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen

A three-level hierarchical classification system for pulmonary lesions is developed, which covers most diseases in cancer-related diagnosis.

Computed Tomography (CT) Decision Making +2

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