2020-04-04 · We all know about meta-learning and pseudo labeling but what if we combine the two techniques for semi-supervised learning? Can it be any beneficial?

semi-supervised-learning meta-learning machine-learning deep-learning

2020-02-18 · Our beloved Batch Norm can actually cause exploding gradients, at least at initialization time.

batch-normalization exploding-gradients weights-initialization deep-learning

2020-03-26 · A gentle introduction to Flax: a neural network library for JAX that is designed for flexibility.

flax jax deep-learning library

2020-03-14 · Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and key points.

data-augmentation image-segmentation deep-learning pytorch

2019-11-16 · I used a multiple autoencoders to effectively encode and encrypt text data. These provide encryption for user defined bits. As proof of concept 8 and 9 ...

deep-learning neural-cryptography machine-learning cyber-security

2020-03-08 · A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

graph-embedding graph-convolution node-embedding node-classification

2019-09-01 · A comprehensive look at recent machine learning advancements in health.

health deep-learning ehr tutorial

A tagged and curated collection of trending tutorials, toolkits and research.

newsletter natural-language-processing computer-vision deep-learning

2020-03-06 · What's new in semi-supervised learning? This paper, SimCLR, presents a new framework for contrastive learning of visual representations.

simclr semi-supervised-learning deep-learning machine-learning

2019-12-19 · A practical approach to machine learning.

deep-learning natural-language-processing tensorflow pytorch

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