246 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

Personalizing Dialogue Agents: I have a dog, do you have pets too?

facebookresearch/ParlAI ACL 2018

Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating.

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

pyaf/DenseNet-MURA-PyTorch 11 Dec 2017

To evaluate models robustly and to get an estimate of radiologist performance, we collect additional labels from six board-certified Stanford radiologists on the test set, consisting of 207 musculoskeletal studies.

Cellular automata as convolutional neural networks

williamgilpin/convoca 9 Sep 2018

This motivates our development of a general convolutional multilayer perceptron architecture, which we find can learn the dynamical rules for arbitrary CA when given videos of the CA as training data.

Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography

lishen/end2end-all-conv 30 Aug 2017

We also demonstrate that a whole image classifier trained using our end-to-end approach on the DDSM digitized film mammograms can be transferred to INbreast FFDM images using only a subset of the INbreast data for fine-tuning and without further reliance on the availability of lesion annotations.

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

jannisborn/covid19_pocus_ultrasound 25 Apr 2020

For detecting COVID-19 in particular, the model performs with a sensitivity of 0. 96, a specificity of 0. 79 and F1-score of 0. 92 in a 5-fold cross validation.

Neural Vector Spaces for Unsupervised Information Retrieval

cvangysel/cuNVSM 9 Aug 2017

We propose the Neural Vector Space Model (NVSM), a method that learns representations of documents in an unsupervised manner for news article retrieval.

Predicting Splicing from Primary Sequence with Deep Learning

Illumina/SpliceAI A Cell Press journal 2019

The splicing of pre-mRNAs into mature transcripts is remarkable for its precision, but the mechanisms by which the cellular machinery achieves such specificity are incompletely understood.

A Tsetlin Machine with Multigranular Clauses

cair/pyTsetlinMachine 16 Sep 2019

The recently introduced Tsetlin Machine (TM) has provided competitive pattern recognition accuracy in several benchmarks, however, requires a 3-dimensional hyperparameter search.

3D Convolutional Neural Networks for Stalled Brain Capillary Detection

ZFTurbo/volumentations 4 Apr 2021

Recent advances in imaging technology enabled generation of high-quality 3D images that can be used to visualize stalled blood vessels.

How transferable are features in deep neural networks?

nmningmei/BOLD5000_autoencoder NeurIPS 2014

Such first-layer features appear not to be specific to a particular dataset or task, but general in that they are applicable to many datasets and tasks.