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09/13/2023
Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description
Amyotrophic lateral sclerosis is a fatal disease that not only affects m...
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09/08/2023
Enabling the Evaluation of Driver Physiology Via Vehicle Dynamics
Driving is a daily routine for many individuals across the globe. This p...
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07/20/2023
"It Felt Like Having a Second Mind": Investigating Human-AI Co-creativity in Prewriting with Large Language Models
Prewriting is the process of discovering and developing ideas before a f...
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11/10/2022
Health Guardian Platform: A technology stack to accelerate discovery in Digital Health research
This paper highlights the design philosophy and architecture of the Heal...
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08/05/2022
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition
Named entity recognition (NER) task aims at identifying entities from a ...
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08/05/2022
ZLPR: A Novel Loss for Multi-label Classification
In the era of deep learning, loss functions determine the range of tasks...
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04/15/2022
Experimentally realized memristive memory augmented neural network
Lifelong on-device learning is a key challenge for machine intelligence,...
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03/22/2022
BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis
Aspect-based sentiment analysis (ABSA) task aims to associate a piece of...
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03/02/2022
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application
In recent years, knowledge graphs have been widely applied as a uniform ...
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01/13/2022
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Multivariate time series (MTS) forecasting plays an important role in th...
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12/14/2021
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting
Multivariate time series (MTS) forecasting has attracted much attention ...
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11/09/2021
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
Time series forecasting is a significant problem in many applications, e...
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05/02/2021
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
In recent years, knowledge graphs have been widely applied to organize d...
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04/20/2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
Position encoding in transformer architecture provides supervision for d...
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12/31/2015
