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08/24/2023
Large Language Models Vote: Prompting for Rare Disease Identification
The emergence of generative Large Language Models (LLMs) emphasizes the ...
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08/05/2023
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
Recent years have witnessed a few attempts of vision transformers for si...
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08/01/2023
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Learning from positive and unlabeled data is known as positive-unlabeled...
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05/19/2023
Introspective Tips: Large Language Model for In-Context Decision Making
The emergence of large language models (LLMs) has substantially influenc...
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11/21/2022
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Oversubscription is a common practice for improving cloud resource utili...
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07/18/2022
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
The success of existing video super-resolution (VSR) algorithms stems ma...
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05/11/2022
Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes
Computational text phenotyping is the practice of identifying patients w...
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04/20/2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
The COVID-19 pandemic has been severely impacting global society since D...
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04/04/2022
Experimental quantum adversarial learning with programmable superconducting qubits
Quantum computing promises to enhance machine learning and artificial in...
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03/21/2022
Automated Clinical Coding: What, Why, and Where We Are?
Clinical coding is the task of transforming medical information in a pat...
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01/08/2022
A Unified Review of Deep Learning for Automated Medical Coding
Automated medical coding, an essential task for healthcare operation and...
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12/09/2021
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring
The success of the state-of-the-art video deblurring methods stems mainl...
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09/10/2021
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
Large-Scale Multi-Label Text Classification (LMTC) includes tasks with h...
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05/05/2021
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
The identification of rare diseases from clinical notes with Natural Lan...
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02/18/2021
A Systematic Review of Natural Language Processing Applied to Radiology Reports
NLP has a significant role in advancing healthcare and has been found to...
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10/29/2020
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
Diagnostic or procedural coding of clinical notes aims to derive a coded...
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08/06/2020
Mixed-Initiative Level Design with RL Brush
This paper introduces RL Brush, a level-editing tool for tile-based game...
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03/02/2020
Gated Fusion Network for Degraded Image Super Resolution
Single image super resolution aims to enhance image quality with respect...
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11/08/2019
AIM 2019 Challenge on Image Demoireing: Methods and Results
This paper reviews the first-ever image demoireing challenge that was pa...
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07/27/2018