[1] DeepPINK: reproducible feature selection in deep neural networks Yang Young Lu, Yingying Fan, Jinch…
NIPS2018论文及代码集锦(23)(亮点：RenderNet卷积网络;哈密顿变分自编码;co-teaching)
[1] RenderNet: A deep convolutional network for differentiable rendering from 3D shapes Thu Nguyen-Phuo…
NIPS2018论文及代码集锦(22)(亮点：深层高斯过程;变分自编码)
[1] Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo Marton Havasi, Jose…
NIPS2018论文及代码集锦(21)(亮点： 异常检测;强化学习)
[1] BRUNO: A Deep Recurrent Model for Exchangeable Data Iryna Korshunova, Jonas Degrave, Ferenc Huszár, Yarin …
NIPS2018论文及代码集锦(20)(亮点：双向RNN时间序列;对抗自编码异常检测;脉冲神经网络)
[1] BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao, Dong Wang, Jian Li, Hao Zhou, Yi…
NIPS2018论文及代码集锦(19)(亮点：梯度正则GAN;巴拿赫WGAN)
[1] Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networ…
NIPS2018论文及代码集锦(18)（亮点:贝叶斯深度学习;图卷积)
[1] SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient A…
NIPS2018论文及代码集锦(17)(亮点：记忆重现GAN;图GAN;箱卷积)
[1] Memory Replay GANs: learning to generate images from new categories without forgetting Chenshen Wu,…
NIPS2018论文及代码集锦(16)(亮点:深度强化学习;正交投影胶囊子空间)
[1] Unsupervised Video Object Segmentation for Deep Reinforcement Learning Vik Goel, Jameson Weng, Pascal Poup…
NIPS2018论文及代码集锦(15)(亮点:新型GAN;新型CNN)
[1] On GANs and GMMs Eitan Richardson, Yair Weiss The Hebrew University of Jerusalem 在机器学习领域中，学者们一直在研究如…