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Recent advancements in Large Language Models (LLMs) have drawn increasing attention since the learned embeddings pretrained on large-scale datasets have shown powerful ability in various downstream applications.
Publicly available clinical bert embeddings
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Bertscore: Evaluating text generation with bert
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Roberta: A robustly optimized bert pretraining approach
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Multimodal emotion recognition using deep canonical correlation analysis
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Hearing lips and seeing voices
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Learning internal representations by error propagation
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Integration of acoustic and visual speech signals using neural networks
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Long short-term memory
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Scaling laws for neural language models
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The impact of the mit-bih arrhythmia database
George B. Moody and Roger G. Mark. 2001 · 2001
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Language models are few-shot learners
Tom B. Brown et al. 2020 · 2005
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Testing of low-risk patients presenting to the emergency department with chest pain: a scientific statement from the american heart association
Ezra A. Amsterdam et al. 2010 · 2010
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An effective framework for weakly-supervised phrase grounding
Qinxin Wang, Haochen Tan, Sheng Shen, Michael W. Mahoney, and Zhewei Yao. 2020 · 2010
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Braunwald’s heart disease e-book: A textbook of cardiovascular medicine
Robert O Bonow, Douglas L Mann, Douglas P Zipes, and Peter Libby. 2011 · 2011
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What is the mcgurk effect?
Kaisa Tiippana. 2014 · 2014
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Convolutional neural networks for patient-specific ecg classification
Serkan Kiranyaz, Turker Ince, Ridha Hamila, and M. Gabbouj. 2015 · 2015
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Deep residual learning for image recognition
Kaiming He, X. Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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A national study of the prevalence of life-threatening diagnoses in patients with chest pain
Renee Y. Hsia, Zachariah Hale, and Jeffrey A. Tabas. 2016 · 2016
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Learning language-visual embedding for movie understanding with natural-language
Atousa Torabi, Niket Tandon, and Leonid Sigal. 2016 · 2016
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A deep convolutional neural network model to classify heartbeats
U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam, Arkadiusz Gertych, and Ru San Tan. 2017 · 2017
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Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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End-to-end concept word detection for video captioning, retrieval, and question answering
Youngjae Yu, Hyungjin Ko, Jongwook Choi, and Gunhee Kim. 2017 · 2017
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Stacked cross attention for image-text matching
Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, and Xiaodong He. 2018 · 2018
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Data encoding visualization based cognitive emotion recognition with ac-gan applied for denoising
Jielin Qiu and Wei-Ye Zhao. 2018 · 2018
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Speaker recognition from raw waveform with sincnet
Mirco Ravanelli and Yoshua Bengio. 2018 · 2018
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Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio’, and Yoshua Bengio. 2018 · 2018
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Exploring visual relationship for image captioning
Ting Yao, Yingwei Pan, Yehao Li, and Tao Mei. 2018 · 2018
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Cross-modal and hierarchical modeling of video and text
Bowen Zhang, Hexiang Hu, and Fei Sha. 2018 · 2018
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Investigating sex differences in classification of five emotions from eeg and eye movement signals
Lanqing Bao, Jielin Qiu, Hao Tang, Wei-Long Zheng, and Bao-Liang Lu. 2019 · 2019
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Ecg interpretation skill acquisition: A review of learning, teaching and assessment
C.J. Breen, G.P. Kelly, and W.G. Kernohan. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Visual sequence learning in hierarchical prediction networks and primate visual cortex
Language models are an effective representation learning technique for electronic health record data
Ethan H. Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, and Nigam Haresh Shah. 2021 · 2021
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Deep learning for ecg analysis: Benchmarks and insights from ptb-xl
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, and Wojciech Samek. 2021 · 2021
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Transfer learning for ecg classification
Kuba Weimann and Tim O. F. Conrad. 2021 · 2021
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Taco: Token-aware cascade contrastive learning for video-text alignment
Jianwei Yang, Yonatan Bisk, and Jianfeng Gao. 2021 · 2021
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Piglet: Language grounding through neuro-symbolic interaction in a 3d world
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, and Yejin Choi. 2021 · 2021
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Jielin Qiu, Ge Huang, and Tai Sing Lee. 2019 · 2019
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Multiple instance learning for ecg risk stratification
Divya Shanmugam, Davis Blalock, and John Guttag. 2019 · 2019
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Fine-grained action retrieval through multiple parts-of-speech embeddings
Michael Wray, Diane Larlus, Gabriela Csurka, and Dima Damen. 2019 · 2019
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Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations
Hao Wu et al. 2019 · 2019
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Fusing transformer model with temporal features for ecg heartbeat classification
Genshen Yan, Shen Liang, Yanchun Zhang, and Fan Liu. 2019 · 2019
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Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram
Salah Al-Zaiti, Lucas Besomi, Zeineb Bouzid, Ziad Faramand, Stephanie O. Frisch, Christian Martin-Gill, Richard E. Gregg, Samir F. Saba, Clifton Callaway, and Ervin Sejdić. 2020 · 2020
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ECG Lead positioning
Mike Cadogan. 2020 · 2020
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Binggui Zhou, Guanghua Yang, Zheng Shi, and Shaodan Ma. 2021 · 2021
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Ecg signal classification using deep learning techniques based on the ptb-xl dataset
Sandra Śmigiel, Krzysztof Pałczyński, and Damian Ledziński. 2021 · 2021
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Do as i can, not as i say: Grounding language in robotic affordances
Michael Ahn et al. 2022 · 2022
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Can foundation models perform zero-shot task specification for robot manipulation?
Yuchen Cui, Scott Niekum, Abhi Gupta, Vikash Kumar, and Aravind Rajeswaran. 2022 · 2022
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Incoder: A generative model for code infilling and synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida I. Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen tau Yih, Luke Zettlemoyer, and Mike Lewis. 2022 · 2022
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Domain-specific language model pretraining for biomedical natural language processing
Yuxian Gu, Robert Tinn, Hao Cheng, Michael R. Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2022 · 2022
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An empirical exploration of cross-domain alignment between language and electroencephalogram
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, and Ding Zhao. 2022 · 2022
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Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, P. Abbeel, Deepak Pathak, and Igor Mordatch. 2022 · 2022
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Transformers are adaptable task planners
Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, and Akshara Rai. 2022 · 2022
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Housekeep: Tidying virtual households using commonsense reasoning
Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, and Harsh Agrawal. 2022 · 2022
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Simple but effective: Clip embeddings for embodied ai
Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi, and Aniruddha Kembhavi. 2022 · 2022
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Intra-inter subject self-supervised learning for multivariate cardiac signals
Xiang Lan, Dianwen Ng, linda Qiao, and Mengling Feng. 2022 · 2022
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Pre-trained language models for interactive decision-making
Shuang Li, Xavier Puig, Yilun Du, Clinton Jia Wang, Ekin Akyürek, Antonio Torralba, Jacob Andreas, and Igor Mordatch. 2022 · 2022
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Code as policies: Language model programs for embodied control
J. Liang, Wenlong Huang, F. Xia, Peng Xu, Karol Hausman, Brian Ichter, Peter R. Florence, and Andy Zeng. 2022 · 2022
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Popular ecg r peak detectors written in python
Bernd Porr, Luis Howell, Ioannis Stournaras, and Yoav Nir. 2022 · 2022
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Leveraging language for accelerated learning of tool manipulation
Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, and Anirudha Majumdar. 2022 · 2022
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Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action
Dhruv Shah, Blazej Osinski, Brian Ichter, and Sergey Levine. 2022 · 2022
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Perceiver-actor: A multi-task transformer for robotic manipulation
Mohit Shridhar, Lucas Manuelli, and Dieter Fox. 2022 · 2022
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Semantic exploration from language abstractions and pretrained representations
Allison C. Tam et al. 2022 · 2022
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Waveform database software package (wfdb) for python (version 4.0.0)
Chen Xie, Lucas McCullum, Alistair Johnson, Tom Pollard, Brian Gow, and Benjamin Moody. 2022 · 2022
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Xi Yang, Nima M. Pournejatian, Hoo-Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin B. Compas, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, and Yonghui Wu. 2022 · 2022
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Socratic models: Composing zero-shot multimodal reasoning with language
Andy Zeng, Adrian S. Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, and Peter R. Florence. 2022 · 2022
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Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, and Ding Zhao. 2022 · 2022
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