A state-of-the-art semi-supervised method for image recognition

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

Hiding Images within other images using Deep Learning

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Code for "Effective Dimensionality Reduction for Word Embeddings".

Convolution dictionary learning for time-series

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Implementation for <Deep Hyperspherical Learning> in NIPS'17.

End-to-End Differentiable Proving

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)

Structured Bayesian Pruning, NIPS 2017

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

Binary Convolution Network for faster real-time processing in ASICs

Our NIPS 2017: Learning to Run source code

Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"