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09/18/2023
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
Text language models have shown remarkable zero-shot capability in gener...
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09/14/2023
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks
We propose a decoder-only language model, VoxtLM, that can perform four ...
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08/17/2023
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?
Pruning has emerged as a powerful technique for compressing deep neural ...
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08/04/2023
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence
In 2020, the U.S. Department of Defense officially disclosed a set of et...
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07/14/2023
A scoping review on multimodal deep learning in biomedical images and texts
Computer-assisted diagnostic and prognostic systems of the future should...
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06/29/2023
Classifying Crime Types using Judgment Documents from Social Media
The task of determining crime types based on criminal behavior facts has...
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06/14/2023
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports
Despite the reduction in turn-around times in radiology reports with the...
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06/11/2023
Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute
Self-supervised learning (SSL) has led to great strides in speech proces...
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05/30/2023
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
A human decision-maker benefits the most from an AI assistant that corre...
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05/28/2023
DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models
Self-supervised learning (SSL) has achieved notable success in many spee...
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05/18/2023
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks
Conformer, a convolution-augmented Transformer variant, has become the d...
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05/02/2023
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge
Recently there have been efforts to introduce new benchmark tasks for sp...
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05/02/2023
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge
This paper describes our system for the low-resource domain adaptation t...
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04/11/2023
Generative Modeling via Hierarchical Tensor Sketching
We propose a hierarchical tensor-network approach for approximating high...
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04/10/2023
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitat...
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03/16/2023
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
Implicit neural rendering, which uses signed distance function (SDF) rep...
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03/15/2023
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization
Automatic radiology report summarization is a crucial clinical task, who...
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03/14/2023
I3D: Transformer architectures with input-dependent dynamic depth for speech recognition
Transformer-based end-to-end speech recognition has achieved great succe...
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02/27/2023
Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding
Self-supervised speech representation learning (SSL) has shown to be eff...
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02/24/2023
Improving Massively Multilingual ASR With Auxiliary CTC Objectives
Multilingual Automatic Speech Recognition (ASR) models have extended the...
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01/26/2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations
In the United States, primary open-angle glaucoma (POAG) is the leading ...
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12/08/2022
SpeechLMScore: Evaluating speech generation using speech language model
While human evaluation is the most reliable metric for evaluating speech...
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12/06/2022
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances
Deep neural networks (DNNs) have rapidly become a de facto choice for me...
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11/10/2022
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding
Collecting sufficient labeled data for spoken language understanding (SL...
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10/15/2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging
AI-powered Medical Imaging has recently achieved enormous attention due ...
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09/30/2022
E-Branchformer: Branchformer with Enhanced merging for speech recognition
Conformer, combining convolution and self-attention sequentially to capt...
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08/29/2022
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
Imaging exams, such as chest radiography, will yield a small set of comm...
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07/10/2022
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays
Before the recent success of deep learning methods for automated medical...
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07/06/2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Conformer has proven to be effective in many speech processing tasks. It...
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03/24/2022
Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing
Clinical notes, which can be embedded into electronic medical records, d...
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01/11/2022
Prior Knowledge Enhances Radiology Report Generation
Radiology report generation aims to produce computer-aided diagnoses to ...
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11/29/2021
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
As Automatic Speech Processing (ASR) systems are getting better, there i...
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11/09/2021
Lymph Node Detection in T2 MRI with Transformers
Identification of lymph nodes (LN) in T2 Magnetic Resonance Imaging (MRI...
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10/28/2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Radiology reports are unstructured and contain the imaging findings and ...
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10/27/2021
SCALP – Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Computer-aided diagnosis plays a salient role in more accessible and acc...
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09/04/2021
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Self-supervised learning provides an opportunity to explore unlabeled ch...
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08/27/2021
A framework for massive scale personalized promotion
Technology companies building consumer-facing platforms may have access ...
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05/03/2021
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality
Utilizing clinical texts in survival analysis is difficult because they ...
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04/28/2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
Contrastive learning has been used to learn a high-quality representatio...
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04/11/2021
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
Building a highly accurate predictive model for these tasks usually requ...
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01/12/2021
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning
Chest X-ray becomes one of the most common medical diagnoses due to its ...
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11/25/2020
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays
Chest X-rays become one of the most common medical diagnoses due to its ...
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11/09/2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degenera
Objective Reticular pseudodrusen (RPD), a key feature of age-related mac...
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10/11/2020
Efficient Long-Range Convolutions for Point Clouds
The efficient treatment of long-range interactions for point clouds is a...
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09/19/2020
Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization
We introduce Michelson Holography (MH), a holographic display technology...
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08/07/2020
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view
Timely access to accurate scientific literature in the battle with the o...
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07/19/2020
Predicting risk of late age-related macular degeneration using deep learning
By 2040, age-related macular degeneration (AMD) will affect approximatel...
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07/05/2020
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
Dietary supplements (DSs) are popular but not always safe. Consumers usu...
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06/11/2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
The latest threat to global health is the COVID-19 outbreak. Although th...
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05/06/2020