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NIPS 2017 Spotlights

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2017-12-23 07:42:24
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http://t.cn/RTDLNK1 "NIPS 2017 Spotlights - YouTube" http://t.cn/RTDLNK1
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视频选集
（16/39）
03:31
Acceleration and Averaging in Stochastic Descent Dynamics
03:33
Acceleration and Averaging in Stochastic Descent Dynamics
03:30
AdaGAN - Boosting Generative Models
03:03
Affinity Clustering - Hierarchical Clustering at Scale
02:44
Bayesian GAN
03:27
Bayesian Optimization with Gradients
03:14
Bregman Divergence for Stochastic Variance Reduction
02:51
Consistent Robust Regression
02:56
Deep Mean-Shift Priors for Image Restoration
03:06
deepMiRGene
03:12
Differentially private Bayesian learning on distributed data
03:13
Gaussian Quadrature for Kernel Features
03:27
Generalizing GANs - A Turing Perspective
03:10
GibbsNet
02:05
Gradient Descent Can Take Exponential Time to Escape Saddle Points
03:58
Hierarchical Methods of Moments
02:58
Hypothesis Transfer Learning via Transformation Functions
03:46
Inhomogeneous Hypergraph Clustering with Applications
03:17
Large-Scale Quadratically Constrained Quadratic Program...
03:16
Learning Combinatorial Optimization Algorithms over Graphs
02:58
Matching neural paths - transfer from recognition to correspondence search
02:52
Multi-Information Source Optimization
02:11
Multiresolution Kernel Approximation for Gaussian Process Regression
02:49
Near-Linear Time Algorithms for Optimal Transport
03:09
Net Trim
02:55
Safe and Nested Subgame Solving for Imperfect-Information Games
03:36
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
03:03
Reliable Decision Support using Counterfactual Models Spotlight
03:29
Safe Model-based Reinforcement Learning with Stability Guarantees
03:00
SafetyNets - Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
02:59
Self-Supervised Intrinsic Image Decomposition
02:56
Spotlight Video for 'Deep Hyperspherical Learning'
02:39
Structured Bayesian Pruning
04:20
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
03:22
Toward Multimodal Image-to-Image Translation
03:42
Towards Accurate Binary Convolutional Neural Network
04:49
Yee Whye Teh - On Bayesian Deep Learning and Deep Bayesian Learning
45:15
Structured Embedding Models for Grouped Data
03:33

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