Who Cited It

Conditional Random Fields as Recurrent Neural Networks

2015 · 2,437 citations · 3 from inside this corpus

Shuai Zheng, Sadeep Jayasumana low, Bernardino Romera‐Paredes, Vibhav Vineet low, Zhizhong Su, Dalong Du low, Chang Huang, Philip H. S. Torr

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.

Conditional Random Fields as Recurrent Neural Networks (2015)Conditional Random Fields as …Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…On the difficulty of training Recurrent Neural Networks (2012)On the difficulty of training…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases … (2017)Diagnostic Assessment of Deep…A survey on deep learning and its applications (2021)A survey on deep learning and…
6 of 6 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
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
Learning long-term dependencies with gradient descent is difficult19948,610
On the difficulty of training Recurrent Neural Networks20123,801

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases …20173,388
A survey on deep learning and its applications20211,548

Links

DOI · Open access copy · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Gaussian Processes and Bayesian InferenceComputer Science
Anomaly Detection Techniques and ApplicationsComputer Science

Is this record sound?

complete

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

  • supports8 author record(s) attached.
  • supports96 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 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…