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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
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Hiding Images within other images using Deep Learning
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
Our NIPS 2017: Learning to Run source code
Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
text convolution-deconvolution auto-encoder model in PyTorch
Binary Convolution Network for faster real-time processing in ASICs
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
Chainer implementation of the paper "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results" (https://arxiv.org/abs/1703.01780)
Reproduction code for WGAN-LP
Fast-Slow Recurrent Neural Networks
Selective Classification For Deep Neural Networks.
Tensorflow Implementation of adversarial learning based adversarial example generator
Decathlon Multiple Visual Domains with Residual Adapters in Keras
近期要读的2017年顶会的几篇行为识别论文
Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.