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Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning

18 October 2024

Papers citing "Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning"

27 / 27 papers shown

Title
Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework William Jongwon Han Chaojing Duan Zhepeng Cen Yihang Yao Xiaoyu Song Atharva Mhaskar Dylan Leong Michael A. Rosenberg Emerson Liu Ding Zhao 58 0 0 24 May 2025
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Loubna Ben Allal Anton Lozhkov Elie Bakouch Gabriel Martín Blázquez Guilherme Penedo ... Cyril Zakka Mathieu Morlon Colin Raffel Leandro von Werra Thomas Wolf MoE 129 46 0 04 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 380 2,000 0 22 Jan 2025
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling William Jongwon Han Chaojing Duan M. Rosenberg Emerson Liu Ding Zhao 124 1 0 18 Dec 2024
Gemma 2: Improving Open Language Models at a Practical Size Gemma Team Gemma Team Morgane Riviere Shreya Pathak Pier Giuseppe Sessa Cassidy Hardin ... Noah Fiedel Armand Joulin Kathleen Kenealy Robert Dadashi Alek Andreev VLM MoE OSLM 141 915 0 31 Jul 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 184 204 0 04 Feb 2024
Review of multimodal machine learning approaches in healthcare "Felix H. Krones Umar Marikkar Guy Parsons Adam Szmul Adam Mahdi 96 31 0 04 Feb 2024
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects Elisa Warner Joonsan Lee William Hsu Tanveer Syeda-Mahmood Charles Kahn Olivier Gevaert Arvind Rao LM&MA 65 9 0 04 Nov 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Yuxuan Liang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 118 415 0 03 Oct 2023
Qwen Technical Report Jinze Bai Shuai Bai Yunfei Chu Zeyu Cui Kai Dang ... Zhenru Zhang Chang Zhou Jingren Zhou Xiaohuan Zhou Tianhang Zhu OSLM 268 1,908 0 28 Sep 2023
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI Mahyar Abbasian Elahe Khatibi Iman Azimi David Oniani Zahra Shakeri Hossein Abad ... Bryant Lin Olivier Gevaert Li-Jia Li Ramesh C. Jain Amir M. Rahmani LM&MA ELM AI4MH 115 74 0 21 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging Eva Pachetti Sara Colantonio 89 21 0 20 Sep 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 70 9 0 05 Aug 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 88 77 0 10 Jul 2023
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram Jungwoo Oh Gyubok Lee Seongsu Bae Joon-Myoung Kwon Edward Choi 82 19 0 21 Jun 2023
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing Benedikt Boecking Naoto Usuyama Shruthi Bannur Daniel Coelho De Castro Anton Schwaighofer ... Tristan Naumann A. Nori Javier Alvarez-Valle Hoifung Poon Ozan Oktay 71 245 0 21 Apr 2022
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram Jungwoo Oh Hyunseung Chung Joon-Myoung Kwon Dongwoo Hong Edward Choi SSL 56 36 0 14 Mar 2022
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding S. Tonekaboni Danny Eytan Anna Goldenberg CML SSL AI4TS 162 296 0 01 Jun 2021
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations Bryan Gopal Ryan Han Gautham Raghupathi A. Ng G. Tison Pranav Rajpurkar MedIm 47 57 0 21 Apr 2021
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients Dani Kiyasseh T. Zhu David Clifton 79 194 0 27 May 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction L. Rasmy Yang Xiang Z. Xie Cui Tao Degui Zhi AI4MH LM&MA 99 696 0 22 May 2020
Multi-task Self-Supervised Learning for Human Activity Detection Aaqib Saeed T. Ozcelebi J. Lukkien SSL 125 275 0 27 Jul 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 357 5,872 0 21 Apr 2019
Automatic diagnosis of the 12-lead ECG using a deep neural network Antônio H. Ribeiro Manoel Horta Ribeiro Gabriela M. M. Paixão D. Oliveira P. R. Gomes ... Carl R. Andersson P. Macfarlane W. Meira Jr. Thomas B. Schon A. L. Ribeiro 73 663 0 02 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 153 620 0 07 Mar 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,952 0 09 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 132 2,008 0 14 Jun 2016