Media Summary: Norm matters: efficient and accurate normalization schemes in deep networks: Over the past few years, Batch-Normalization has ... 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: ...

Nips Neurips 2018 Learning Task - Detailed Analysis & Overview

Norm matters: efficient and accurate normalization schemes in deep networks: Over the past few years, Batch-Normalization has ... 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: ... This video summarizes our contribution to the Abstract: Visualization is a powerful way to understand and interpret machine By Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song. The paper is accepted to

This is a short presentation for the paper "Sparsified SGD with Memory". Sebastian U. Stich, Jean-Baptiste Cordonnier, Martin ... This video presents a short summary of the paper: "Neighbourhood Consensus Networks" by I. Rocco, M. Cimpoi, R. Arandjelović, ...

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[NIPS/NeurIPS 2018] Learning Task Specifications from Demonstrations
Norm matters, a spotlight paper in NeurIPS 2018.
NIPS 2018: Unsupervised Learning of View-invariant Action Representations
[NeurIPS 2018] How to Start Training: The Effect of Initialization and Architecture
Sparsity in CNNs NeurIPS (NIPS) 2018 (1 min presentation)
Incorporating Context into Language Encoding Models for fMRI (Jain & Huth, NeurIPS 2018)
NeurIPS 2018 :: Learning convex bounds for linear quadratic control policy synthesis
Fernanda Viégas and Martin Wattenberg: Visualization for Machine Learning (NeurIPS 2018 Tutorial)
Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)
NIPS 2018 Talk: Learning towards Minimum Hyperspherical Energy
[NIPS/NeurIPS 2018] Sparsified SGD with Memory
NIPS 2018 HIGHLIGHT
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[NIPS/NeurIPS 2018] Learning Task Specifications from Demonstrations

[NIPS/NeurIPS 2018] Learning Task Specifications from Demonstrations

3-minute video for the paper "

Norm matters, a spotlight paper in NeurIPS 2018.

Norm matters, a spotlight paper in NeurIPS 2018.

Norm matters: efficient and accurate normalization schemes in deep networks: Over the past few years, Batch-Normalization has ...

NIPS 2018: Unsupervised Learning of View-invariant Action Representations

NIPS 2018: Unsupervised Learning of View-invariant Action Representations

NIPS 2018: Unsupervised Learning of View-invariant Action Representations

[NeurIPS 2018] How to Start Training: The Effect of Initialization and Architecture

[NeurIPS 2018] How to Start Training: The Effect of Initialization and Architecture

This is a 3-minute video for the

Sparsity in CNNs NeurIPS (NIPS) 2018 (1 min presentation)

Sparsity in CNNs NeurIPS (NIPS) 2018 (1 min presentation)

Original Paper: "Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks" Find the paper at: ...

Incorporating Context into Language Encoding Models for fMRI (Jain & Huth, NeurIPS 2018)

Incorporating Context into Language Encoding Models for fMRI (Jain & Huth, NeurIPS 2018)

Full paper: http://papers.

NeurIPS 2018 :: Learning convex bounds for linear quadratic control policy synthesis

NeurIPS 2018 :: Learning convex bounds for linear quadratic control policy synthesis

This video summarizes our contribution to the

Fernanda Viégas and Martin Wattenberg: Visualization for Machine Learning (NeurIPS 2018 Tutorial)

Fernanda Viégas and Martin Wattenberg: Visualization for Machine Learning (NeurIPS 2018 Tutorial)

Abstract: Visualization is a powerful way to understand and interpret machine

Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)

Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)

Tutorial Deep

NIPS 2018 Talk: Learning towards Minimum Hyperspherical Energy

NIPS 2018 Talk: Learning towards Minimum Hyperspherical Energy

By Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song. The paper is accepted to

[NIPS/NeurIPS 2018] Sparsified SGD with Memory

[NIPS/NeurIPS 2018] Sparsified SGD with Memory

This is a short presentation for the paper "Sparsified SGD with Memory". Sebastian U. Stich, Jean-Baptiste Cordonnier, Martin ...

NIPS 2018 HIGHLIGHT

NIPS 2018 HIGHLIGHT

The video highlight of the

Neighbourhood Consensus Networks (3 min video) - NeurIPS 2018

Neighbourhood Consensus Networks (3 min video) - NeurIPS 2018

This video presents a short summary of the paper: "Neighbourhood Consensus Networks" by I. Rocco, M. Cimpoi, R. Arandjelović, ...