Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Vijay Srinivas"'
Sequence modeling is a crucial area across various domains, including Natural Language Processing (NLP), speech recognition, time series forecasting, music generation, and bioinformatics. Recurrent Neural Networks (RNNs) and Long Short Term Memory Ne
Externí odkaz:
http://arxiv.org/abs/2404.16112
The primary goal of this project is to develop privacy-preserving machine learning model training techniques for fNIRS data. This project will build a local model in a centralized setting with both differential privacy (DP) and certified robustness.
Externí odkaz:
http://arxiv.org/abs/2401.00973
DP-SGD has emerged as a popular method to protect personally identifiable information in deep learning applications. Unfortunately, DP-SGD's per-sample gradient clipping and uniform noise addition during training can significantly degrade model utili
Externí odkaz:
http://arxiv.org/abs/2312.02400
Vision transformers have gained significant attention and achieved state-of-the-art performance in various computer vision tasks, including image classification, instance segmentation, and object detection. However, challenges remain in addressing at
Externí odkaz:
http://arxiv.org/abs/2311.01310
Vision transformers have been applied successfully for image recognition tasks. There have been either multi-headed self-attention based (ViT \cite{dosovitskiy2020image}, DeIT, \cite{touvron2021training}) similar to the original work in textual model
Externí odkaz:
http://arxiv.org/abs/2304.06446
Transformers are widely used for solving tasks in natural language processing, computer vision, speech, and music domains. In this paper, we talk about the efficiency of transformers in terms of memory (the number of parameters), computation cost (nu
Externí odkaz:
http://arxiv.org/abs/2302.08374
Transpose convolution has shown prominence in many deep learning applications. However, transpose convolution layers are computationally intensive due to the increased feature map size due to adding zeros after each element in each row and column. Th
Externí odkaz:
http://arxiv.org/abs/2209.03704
Recent studies demonstrated that X-ray radiography showed higher accuracy than Polymerase Chain Reaction (PCR) testing for COVID-19 detection. Therefore, applying deep learning models to X-rays and radiography images increases the speed and accuracy
Externí odkaz:
http://arxiv.org/abs/2209.04445
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract The most common eye infection in people with diabetes is diabetic retinopathy (DR). It might cause blurred vision or even total blindness. Therefore, it is essential to promote early detection to prevent or alleviate the impact of DR. Howeve
Externí odkaz:
https://doaj.org/article/e683029c0dcd4b55b75ffb25e288a9b8
Autor:
Tida, Vijay Srinivas, Hsu, Sonya
Deep learning transformer models become important by training on text data based on self-attention mechanisms. This manuscript demonstrated a novel universal spam detection model using pre-trained Google's Bidirectional Encoder Representations from T
Externí odkaz:
http://arxiv.org/abs/2202.03480