Detecting and classifying lesions in mammograms with Deep Learning

26 Jul 20171 code implementation

In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms.

BREAST CANCER DETECTION OBJECT DETECTION

Embedding Watermarks into Deep Neural Networks

15 Jan 20171 code implementation

Secondly, we propose a general framework to embed a watermark into model parameters using a parameter regularizer.

Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features

16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018) 2018 1 code implementation

A Zero-shot learning algorithm is capable of handling unseen classes, provided the algorithm has been fortified with rich discriminating features and reliable “attribute description” per class during training.

LANGUAGE MODELLING OPTICAL CHARACTER RECOGNITION ZERO-SHOT LEARNING

Edge-Informed Single Image Super-Resolution

11 Sep 20191 code implementation

We use a two-stage inpainting model as a baseline for super-resolution and show its effectiveness for different scale factors (x2, x4, x8) compared to basic interpolation schemes.

IMAGE INPAINTING IMAGE SUPER-RESOLUTION

XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference

9 Jul 20181 code implementation

Binary Neural Networks (BNNs) are promising to deliver accuracy comparable to conventional deep neural networks at a fraction of the cost in terms of memory and energy.

Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works

20 Dec 20171 code implementation

With the exponential increase in the amount of digital information over the internet, online shops, online music, video and image libraries, search engines and recommendation system have become the most convenient ways to find relevant information within a short time.

INFORMATION RETRIEVAL RECOMMENDATION SYSTEMS SPEECH RECOGNITION

Deep learning incorporating biologically-inspired neural dynamics

17 Dec 20181 code implementation

Neural networks have become the key technology of artificial intelligence and have contributed to breakthroughs in several machine learning tasks, primarily owing to advances in deep learning applied to Artificial Neural Networks (ANNs).

LANGUAGE MODELLING

A Comparative Measurement Study of Deep Learning as a Service Framework

29 Oct 20181 code implementation

Big data powered Deep Learning (DL) and its applications have blossomed in recent years, fueled by three technological trends: a large amount of digitized data openly accessible, a growing number of DL software frameworks in open source and commercial markets, and a selection of affordable parallel computing hardware devices.

Cannot find the paper you are looking for? You can Submit a new open access paper.