Who Cited It

A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning

2017 · 1,660 citations · 2 from inside this corpus

Junho Yim low, Donggyu Joo, Ji‐Hoon Bae, Junmo Kim

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer … (2017)A Gift from Knowledge Distill…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2024)Batch Normalization: Accelera…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …ADADELTA: An Adaptive Learning Rate Method (2012)ADADELTA: An Adaptive Learnin…Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Relational Knowledge Distillation (2019)Relational Knowledge Distilla…
11 of 11 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…202415,663
Distilling the Knowledge in a Neural Network201514,099
Understanding the difficulty of training deep feedforward neural networks201012,673
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
ADADELTA: An Adaptive Learning Rate Method20125,532
Why Does Unsupervised Pre-training Help Deep Learning?20102,114

What cites it, inside the corpus

PaperYearCited
AutoML: A survey of the state-of-the-art20201,705
Relational Knowledge Distillation20191,669

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Advanced Neural Network ApplicationsComputer Science
Adversarial Robustness in Machine LearningComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports43 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…