Found 5754 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints

To address this issue, we propose a novel deep learning model, the convolutional mixture density recurrent neural network (CMDRNN), which combines the strengths of convolutional neural networks, recurrent neural networks and mixture density networks. Expand abstract.
19 hours ago
10/10 relevant
arXiv

Unsupervised content-preserving transformation for optical microscopy

We anticipate that our framework will encourage a paradigm shift in training neural networks and democratize deep learning algorithms for optical society. Expand abstract.
27 hours ago
4/10 relevant
bioRxiv

Deep minimax probability machine

In order to alleviate this problem, we propose the Deep Minimax Probability Machine (DeepMPM), which applies MPM to deep neural networks in an end-to-end fashion. Expand abstract.
1 day ago
10/10 relevant
arXiv

Visualization approach to assess the robustness of neural networks for medical image classification

In this paper, we extended the framework of Fong and Vedaldi [IEEE International Conference on Computer Vision (ICCV), 2017] to visualize the training of convolutional neural networks (CNNs) on 3D quantitative neuroimaging data. Expand abstract.
3 days ago
10/10 relevant
arXiv

Neural Network based End-to-End Query by Example Spoken Term Detection

We propose to integrate these two stages in a fully neural network based end-to-end learning framework to enable joint optimization of those two stages simultaneously. Expand abstract.
3 days ago
7/10 relevant
arXiv

W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping

Recent research on a learning mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks. Expand abstract.
3 days ago
4/10 relevant
arXiv

Neural Network Pruning with Residual-Connections and Limited-Data

More importantly, when pruning on small datasets, CURL achieves comparable or much better performance than fine-tuning a pretrained small model. Expand abstract.
3 days ago
5/10 relevant
arXiv

KISS: Keeping It Simple for Scene Text Recognition

In this paper, we introduce a new model for scene text recognition that only consists of off-the-shelf building blocks for neural networks. Expand abstract.
3 days ago
5/10 relevant
arXiv

Defective Convolutional Layers Learn Robust CNNs

Recent research suggests that the noises in adversarial examples break the textural structure, which eventually leads to wrong predictions by convolutional neural networks. Expand abstract.
3 days ago
9/10 relevant
arXiv

Logic-inspired Deep Neural Networks

Deep neural networks have achieved impressive performance and become de-facto standard in many tasks. Expand abstract.
3 days ago
10/10 relevant
arXiv