Reproducing research from ICLR 2018 by analyzing the evolution of a convolutional neural network in polynomial time.
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Updated
Jun 14, 2018 - Jupyter Notebook
Reproducing research from ICLR 2018 by analyzing the evolution of a convolutional neural network in polynomial time.
ICLR_2018_Reproducibility_Challenge : Sketch-RNN
Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher
The code implements Hinton's matrix capsule with em routing for Cifar-10 dataset
TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
Reproduction code for WGAN-LP
6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
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