Media Summary: We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while ... NIPS 2018: Unsupervised Learning of View-invariant Action Representations Original Paper: "Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks" Find the paper at: ...
Depthnets Nips 2018 - Detailed Analysis & Overview
We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while ... NIPS 2018: Unsupervised Learning of View-invariant Action Representations Original Paper: "Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks" Find the paper at: ... 3-minute video for the paper "Learning Task Specifications from Demonstrations" ( J. Mairal, P. Koniusz, Z. Harchaoui, C. Schmid Convolutional Kernel Networks B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, A. Oliva ... Tutorial Deep Learning: Practice and Trends. Nando de Freitas, Scott Reed, Oriol Vinyals. 0:02:06 Part I: Practice. The Deep ...
This video describes the paper "Improving Simple Models with Confidence Profiles", accepted to Presentations from the Deep Learning session: 0:44 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep ... Dynamic Network Model from Partial Observations: NeurIPS
![[NIPS/NeurIPS 2018] Learning Task Specifications from Demonstrations](https://i.ytimg.com/vi/tSp6mPI-024/mqdefault.jpg)
