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Stanford Online
Stanford Online is an educational initiative launched by Stanford University which offers a variety of professional education opportunities. As a…
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks
Youngmin Ro
,
J. Choi
arXiv.org
2020
Corpus ID: 211126647
Existing fine-tuning methods use a single learning rate over all layers. In this paper, first, we discuss that trends of layer…
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2020
2020
Calibrated neighborhood aware confidence measure for deep metric learning
Maryna Karpusha
,
Sunghee Yun
,
I. Fehérvári
arXiv.org
2020
Corpus ID: 219558289
Deep metric learning has gained promising improvement in recent years following the success of deep learning. It has been…
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2019
2019
Deep Metric Learning With Alternating Projections Onto Feasible Sets
Ogul Can
,
Yeti Ziya Gürbüz
,
Aydin Alatan
International Conference on Information Photonics
2019
Corpus ID: 197431265
Minimizers of the typical distance metric learning loss functions can be considered as “feasible points” satisfying a set of…
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2019
2019
Deep Metric Learning using Similarities from Nonlinear Rank Approximations
Konstantin Schall
,
Kai Barthel
,
Nico Hezel
,
Klaus Jung
IEEE International Workshop on Multimedia Signal…
2019
Corpus ID: 202712703
In recent years, deep metric learning has achieved promising results in learning high dimensional semantic feature embeddings…
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2018
2018
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
Nam N. Vo
,
J. Hays
arXiv.org
2018
Corpus ID: 260547028
Many recent works advancing deep learning tend to focus on large scale setting with the goal of more effective training and…
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2017
2017
Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way
Jia-Xing Zhong
,
Ge Li
,
Nannan Li
International Conference on Neural Information…
2017
Corpus ID: 23570295
In recent years, deep metric learning has been an end-to-end fashion in computer vision community due to the great success of…
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2016
2016
Learnable Structured Clustering Framework for Deep Metric Learning
Hyun Oh Song
,
S. Jegelka
,
V. Rathod
,
K. Murphy
arXiv.org
2016
Corpus ID: 11218354
Learning the representation and the similarity metric in an end-to-end fashion with deep networks have demonstrated outstanding…
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2013
2013
Team Leaning:The New Instruction Model of Stanford Online Course of Venture Lab
Zhang Wei-ra
2013
Corpus ID: 112748245
Venture Lab is an online entrepreneurial education course open to the whole world by Stanford for the first time.More than 100…
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1999
1999
Stanford Learning: Worldwide Availability On-Demand at Stanford Online
A. DiPaolo
1999
Corpus ID: 59634165
The changing dynamics of todays workplace put employee time at a premium and create pressure on educational institutions to…
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Review
1998
Review
1998
Stanford Online: The Stanford University Experience with Online Education.
Carolyn Stark Schultz
,
Michael Rouan
1998
Corpus ID: 59892685
This paper describes Stanford Online, a distance learning program at Stanford University (California) that utilizes the concept…
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