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07/19/2023
PharmacyGPT: The AI Pharmacist
In this study, we introduce PharmacyGPT, a novel framework to assess the...
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07/10/2023
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification
With the popularity of deep neural networks (DNNs), model interpretabili...
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06/20/2023
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
This paper explores new frontiers in agricultural natural language proce...
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05/17/2023
SAM for Poultry Science
In recent years, the agricultural industry has witnessed significant adv...
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03/27/2023
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers
Designing more efficient, reliable, and explainable neural network archi...
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03/27/2023
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network
The evolution of convolutional neural networks (CNNs) can be largely att...
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03/27/2023
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Linking computational natural language processing (NLP) models and neura...
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11/21/2022
Disentangled Representation Learning
Disentangled Representation Learning (DRL) aims to learn a model capable...
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10/26/2022
Is Multi-Task Learning an Upper Bound for Continual Learning?
Continual and multi-task learning are common machine learning approaches...
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06/22/2022
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations
Artificial neural networks (ANNs), originally inspired by biological neu...
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05/25/2022
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning
Learning harmful shortcuts such as spurious correlations and biases prev...
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05/20/2022
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Learning with little data is challenging but often inevitable in various...
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11/13/2019