Search Results for author: Yi-Fan Li

Found 6 papers, 0 papers with code

Using Human-like Mechanism to Weaken Effect of Pre-training Weight Bias in Face-Recognition Convolutional Neural Network

no code implementations20 Oct 2023 Haojiang Ying, Yi-Fan Li, Yiyang Chen

In this study, we focused on 4 extensively studied CNNs (AlexNet, VGG11, VGG13, and VGG16) which has been analyzed as human-like models by neuroscientists with ample evidence.

Face Recognition Transfer Learning

Towards Self-Adaptive Metric Learning On the Fly

no code implementations3 Apr 2021 Yang Gao, Yi-Fan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham

In this paper, we present a new online metric learning framework that attempts to tackle the challenge by learning an ANN-based metric with adaptive model complexity from a stream of constraints.

Image Classification Image Retrieval +2

SetConv: A New Approach for Learning from Imbalanced Data

no code implementations EMNLP 2020 Yang Gao, Yi-Fan Li, Yu Lin, Charu Aggarwal, Latifur Khan

For many real-world classification problems, e. g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (IR) is high.

BIG-bench Machine Learning Classification +3

Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text

no code implementations16 Sep 2020 Yadan Fan, Sicheng Zhou, Yi-Fan Li, Rui Zhang

The best performed NER and RE models were further applied on clinical notes mentioning 88 DS for discovering DS adverse events and indications, which were compared with a DS knowledge base.

named-entity-recognition Named Entity Recognition +2

RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning

no code implementations10 Sep 2020 Huale Li, Xuan Wang, Fengwei Jia, Yi-Fan Li, Yulin Wu, Jiajia Zhang, Shuhan Qi

Extensive experimental results on various games have shown that the generalization ability of our method is significantly improved compared with existing state-of-the-art methods.

counterfactual Decision Making +2

Deep Learning on Knowledge Graph for Recommender System: A Survey

no code implementations25 Mar 2020 Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan

Recent advances in research have demonstrated the effectiveness of knowledge graphs (KG) in providing valuable external knowledge to improve recommendation systems (RS).

Graph Embedding Knowledge Graphs +1

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