nips-2018 topic

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

XgDuan

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

SimonKohl

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

podgorskiy

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

tlatkowski

Convolution dictionary learning for time-series

alphacsc

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

woozzu

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') fr...

flytxtds

Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

wy1iu

Open-set Recognition with Adversarial Autoencoders

Ralmohsen