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09/01/2023
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
The development of large language models tailored for handling patients'...
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08/03/2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
AI alignment refers to models acting towards human-intended goals, prefe...
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05/12/2023
Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table
Despite recent interest in open domain question answering (ODQA) over ta...
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05/11/2023
FactKG: Fact Verification via Reasoning on Knowledge Graphs
In real world applications, knowledge graphs (KG) are widely used in var...
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05/04/2023
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention
Electronic Health Record (EHR) provides abundant information through var...
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03/15/2023
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records
Making the most use of abundant information in electronic health records...
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03/09/2023
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays
X-ray computed tomography (CT) is one of the most common imaging techniq...
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03/09/2023
Text-to-ECG: 12-Lead Electrocardiogram Synthesis conditioned on Clinical Text Reports
Electrocardiogram (ECG) synthesis is the area of research focused on gen...
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02/27/2023
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density
Time-series forecasting models often encounter abrupt changes in a given...
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02/23/2023
Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays
Generated synthetic data in medical research can substitute privacy and ...
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12/20/2022
ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management
Despite the increased adoption of open-source cyber threat intelligence ...
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12/14/2022
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
Deep neural networks have been successfully adopted to diverse domains i...
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10/29/2022
Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution
In the Emergency Department (ED), accurate prediction of critical events...
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10/24/2022
Specializing Multi-domain NMT via Penalizing Low Mutual Information
Multi-domain Neural Machine Translation (NMT) trains a single model with...
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10/23/2022
Do Language Models Understand Measurements?
Recent success of pre-trained language models (PLMs) has stimulated inte...
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10/17/2022
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations
Recently, dense contrastive learning has shown superior performance on d...
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08/29/2022
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
Semantically meaningful sentence embeddings are important for numerous t...
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07/26/2022
Task Agnostic and Post-hoc Unseen Distribution Detection
Despite the recent advances in out-of-distribution(OOD) detection, anoma...
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07/20/2022
UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
Despite the abundance of Electronic Healthcare Records (EHR), its hetero...
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07/07/2022
Towards the Practical Utility of Federated Learning in the Medical Domain
Federated learning (FL) is an active area of research. One of the most s...
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05/29/2022
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing
In image classification, "debiasing" aims to train a classifier to be le...
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04/15/2022
Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer
Though deep generative models have gained a lot of attention, most of th...
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03/18/2022
Graph-Text Multi-Modal Pre-training for Medical Representation Learning
As the volume of Electronic Health Records (EHR) sharply grows, there ha...
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03/14/2022
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records
Question Answering on Electronic Health Records (EHR-QA) has a significa...
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03/14/2022
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram
In recent years, self-supervised learning methods have shown significant...
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01/21/2022
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Electroencephalogram (EEG) is an important diagnostic test that physicia...
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12/21/2021
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE
In order to perform unconditional video generation, we must learn the di...
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12/01/2021
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation
Recently, vector-quantized image modeling has demonstrated impressive pe...
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11/14/2021
Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture
An intelligent machine that can answer human questions based on electron...
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10/24/2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder
Periodic signals play an important role in daily lives. Although convent...
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10/18/2021
Natural Attribute-based Shift Detection
Despite the impressive performance of deep networks in vision, language,...
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08/08/2021
Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding
Substantial increase in the use of Electronic Health Records (EHRs) has ...
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05/24/2021
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
Recently a number of studies demonstrated impressive performance on dive...
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05/12/2021
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
Generating accurate terminology is a crucial component for the practical...
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01/19/2021
A System for Automated Open-Source Threat Intelligence Gathering and Management
To remain aware of the fast-evolving cyber threat landscape, open-source...
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11/26/2020
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment
We evaluate the out-of-distribution (OOD) detection performance of self-...
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10/19/2020
Knowledge Graph-based Question Answering with Electronic Health Records
Question Answering (QA) on Electronic Health Records (EHR), namely EHR Q...
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10/16/2020
Neural Ordinary Differential Equations for Intervention Modeling
By interpreting the forward dynamics of the latent representation of neu...
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10/16/2020
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
Video generation models often operate under the assumption of fixed fram...
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06/11/2019
Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records
Effective modeling of electronic health records (EHR) is rapidly becomin...
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06/10/2019
Analyzing the Role of Model Uncertainty for Electronic Health Records
In medicine, both ethical and monetary costs of incorrect predictions ca...
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06/08/2019
Clinical Concept Extraction for Document-Level Coding
The text of clinical notes can be a valuable source of patient informati...
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10/22/2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Deep learning models exhibit state-of-the-art performance for many predi...
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05/28/2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
In the past decade, we have seen many successful applications of recurre...
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04/06/2018
Compositional Obverter Communication Learning From Raw Visual Input
One of the distinguishing aspects of human language is its compositional...
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11/18/2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
We present MorphNet, an approach to automate the design of neural networ...
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03/19/2017
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Access to electronic health record (EHR) data has motivated computationa...
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02/08/2017
Causal Regularization
In application domains such as healthcare, we want accurate predictive m...
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08/19/2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Accuracy and interpretability are two dominant features of successful pr...
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02/11/2016