开课单位--多伦多大学
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1
Molecular Mechanism of Granule-Granule Fusion Contributing to Biphasic Insulin Secretion[颗粒-颗粒融合促进胰岛素双相分泌的分子机制]
  Herbert Gaisano(多伦多大学) Molecular Mechanism of Granule-Granule Fusion Contributing to Biphasic Insulin Secretion
热度:13

2
Multimodal Learning[多模态学习]
  Jamie Kiros(多伦多大学) Multimodal Learning
热度:30

3
Computational Neuroscience[计算神经科学]
  Blake Aaron Richards(多伦多大学) Computational Neuroscience
热度:12

4
Order-Embeddings of Images and Language[图像与语言的顺序嵌入]
  Ivan Vendrov(多伦多大学) Hypernymy, textual entailment, and image captioning can be seen as special cases of a single visual-semantic hierarchy over words, sentences, and imag...
热度:20

5
Merck Molecular Activity Challenge[默克分子活性挑战]
  George E. Dahl(多伦多大学) Merck Molecular Activity Challenge
热度:19

6
Learning CRFs with Hierarchical Features: An Application to Go[学习具有分层特征的CRFs:一个应用程序]
  Scott Sanner(多伦多大学) Learning CRFs with Hierarchical Features: An Application to Go
热度:22

7
Using Fast Weights to Improve Persistent Contrastive Divergence[使用快速权重提高持久对比度发散性]
  Tijmen Tieleman(多伦多大学) The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and ...
热度:4

8
Empirical Bernstein Stopping[经验Bernstein停止]
  Volodymyr Mnih(多伦多大学) Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive sto...
热度:14

9
Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNs[用RNNs分析视觉扫描行为检测阿尔茨海默病患者的Apathy]
  Jonathan Chung(多伦多大学) Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNs
热度:21

10
Lost Shopping! Monocular Localization in Large Indoor Spaces[购物失败!大型室内空间中的单眼定位]
  Shenlong Wang(多伦多大学) In this paper we propose a novel approach to localization in very large indoor spaces (i.e., shopping malls with over 200 stores) that takes a single ...
热度:16
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