research
∙
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...
share
research
∙
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 ...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
06/29/2023
Classifying Crime Types using Judgment Documents from Social Media
The task of determining crime types based on criminal behavior facts has...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
05/28/2023
DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models
Self-supervised learning (SSL) has achieved notable success in many spee...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
04/11/2023
Generative Modeling via Hierarchical Tensor Sketching
We propose a hierarchical tensor-network approach for approximating high...
research
∙
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...
research
∙
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...
research
∙
03/15/2023
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization
Automatic radiology report summarization is a crucial clinical task, who...
research
∙
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...
research
∙
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...
research
∙
02/24/2023
Improving Massively Multilingual ASR With Auxiliary CTC Objectives
Multilingual Automatic Speech Recognition (ASR) models have extended the...
research
∙
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 ...
research
∙
12/08/2022
SpeechLMScore: Evaluating speech generation using speech language model
While human evaluation is the most reliable metric for evaluating speech...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
09/30/2022
E-Branchformer: Branchformer with Enhanced merging for speech recognition
Conformer, combining convolution and self-attention sequentially to capt...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/24/2022
Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing
Clinical notes, which can be embedded into electronic medical records, d...
research
∙
01/11/2022
Prior Knowledge Enhances Radiology Report Generation
Radiology report generation aims to produce computer-aided diagnoses to ...
research
∙
11/29/2021
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
As Automatic Speech Processing (ASR) systems are getting better, there i...
research
∙
11/09/2021
Lymph Node Detection in T2 MRI with Transformers
Identification of lymph nodes (LN) in T2 Magnetic Resonance Imaging (MRI...
research
∙
10/28/2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Radiology reports are unstructured and contain the imaging findings and ...
research
∙
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...
research
∙
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...
research
∙
08/27/2021
A framework for massive scale personalized promotion
Technology companies building consumer-facing platforms may have access ...
research
∙
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 ...
research
∙
04/28/2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
Contrastive learning has been used to learn a high-quality representatio...
research
∙
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...
research
∙
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 ...
research
∙
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 ...
research
∙
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...
research
∙
10/11/2020
Efficient Long-Range Convolutions for Point Clouds
The efficient treatment of long-range interactions for point clouds is a...
research
∙
09/19/2020
Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization
We introduce Michelson Holography (MH), a holographic display technology...
research
∙
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...
research
∙
07/19/2020
Predicting risk of late age-related macular degeneration using deep learning
By 2040, age-related macular degeneration (AMD) will affect approximatel...
research
∙
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...
research
∙
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...
research
∙
05/06/2020
