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08/17/2023
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
LLMs usually exhibit limitations in their ability to incorporate new kno...
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06/06/2023
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
Drug development is a complex process that aims to test the efficacy and...
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05/30/2023
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Large language models (LLMs) specializing in natural language generation...
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10/18/2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Existing vision-text contrastive learning like CLIP aims to match the pa...
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09/16/2022
Artificial Intelligence for In Silico Clinical Trials: A Review
A clinical trial is an essential step in drug development, which is ofte...
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06/29/2022
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision
Clinical trials are essential for drug development but are extremely exp...
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10/27/2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Objective: In this paper, we aim to learn robust vector representations ...
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09/29/2021
PAC-Bayes Information Bottleneck
Information bottleneck (IB) depicts a trade-off between the accuracy and...
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05/05/2021
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations
Medication recommendation is an essential task of AI for healthcare. Exi...
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04/30/2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Molecular interaction networks are powerful resources for the discovery....
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04/19/2020
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit
We present DeepPurpose, a deep learning toolkit for simple and efficient...
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05/27/2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
Electrocardiography (ECG) signals are commonly used to diagnose various ...
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08/19/2016
