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09/12/2023
Recovering from Privacy-Preserving Masking with Large Language Models
Model adaptation is crucial to handle the discrepancy between proxy trai...
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07/11/2023
CR-Lasso: Robust cellwise regularized sparse regression
Cellwise contamination remains a challenging problem for data scientists...
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01/20/2023
Language Agnostic Data-Driven Inverse Text Normalization
With the emergence of automatic speech recognition (ASR) models, convert...
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10/24/2021
Robust Variable Selection under Cellwise Contamination
Cellwise outliers are widespread in data and traditional robust methods ...
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04/28/2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
Contrastive learning has been used to learn a high-quality representatio...
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11/01/2020
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism
With the explosive growth of biomedical literature, designing automatic ...
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07/26/2020
Contrastive Visual-Linguistic Pretraining
Several multi-modality representation learning approaches such as LXMERT...
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07/25/2020
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Human beings can quickly adapt to environmental changes by leveraging le...
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05/08/2020
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature
Adversarial training is a technique of improving model performance by in...
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03/16/2020
Adapting Object Detectors with Conditional Domain Normalization
Real-world object detectors are often challenged by the domain gaps betw...
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05/12/2017