Found 2363 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels

Recently deep neural networks have shown their capacity to memorize training data, even with noisy labels, which hurts generalization performance. Expand abstract.
3 days ago
7/10 relevant
arXiv

Deep Metric Learning using Similarities from Nonlinear Rank Approximations

In recent years, deep metric learning has achieved promising results in learning high dimensional semantic feature embeddings where the spatial relationships of the feature vectors match the visual similarities of the images. Expand abstract.
3 days ago
4/10 relevant
arXiv

Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers

In deep learning, Convolutional Neural Network (CNN) is at the center of spectacular advances that mixes Artificial Neural Network (ANN) and up to date deep learning strategies. Expand abstract.
4 days ago
7/10 relevant
Preprints.org

Slices of Attention in Asynchronous Video Job Interviews

While most of the deep learning systems use attention mechanisms to offer a quick visualization of slices when a rise of attention occurs, we perform an in-depth analysis to understand what happens during these moments. Expand abstract.
4 days ago
7/10 relevant
arXiv

Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice

Due to the limited number of neurons in the latent vector and its appended noise, the VAE avoids learning any relation between the given images and the given labels, as those are given directly. Expand abstract.
4 days ago
7/10 relevant
arXiv

Drug-Target Interaction prediction using Multi-Graph Regularized Deep Matrix Factorization

This is the first work which has leveraged multiple similarity/neighborhood information into the deep learning framework for drug-target interaction prediction. Expand abstract.
4 days ago
7/10 relevant
bioRxiv

Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model

The development of deep learning modeling tools and publicly available large ECG data in recent years has made accurate machine diagnosis of CA an attractive task to showcase the power of artificial intelligence (AI) in clinical applications. Expand abstract.
4 days ago
10/10 relevant
bioRxiv

Library of model implementations for sharing deep-learning image segmentation and outcomes models

Deep learning-based image segmentation models include state of the art networks such as Deeplab and other problem-specific architectures. Expand abstract.
4 days ago
10/10 relevant
bioRxiv

Global Temporal Representation based CNNs for Infrared Action Recognition

The experimental results show that the proposed approach outperforms the representative state-of-the-art handcrafted features and deep learning features based methods for the infrared action recognition. Expand abstract.
5 days ago
4/10 relevant
arXiv

ContCap: A comprehensive framework for continual image captioning

While cutting-edge image captioning systems are increasingly describing an image coherently and exactly, recent progresses in continual learning allow deep learning systems to avoid catastrophic forgetting. Expand abstract.
5 days ago
4/10 relevant
arXiv