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Information Dropout: Learning Optimal Representations Through Noisy Computation

Research article (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018) · cited 342× · AI/ML
academia openalex:W2683470288
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Information Dropout: Learning Optimal Representations Through Noisy Computation

Summary

Information Dropout: Learning Optimal Representations Through Noisy Computation is a scholarly article[1].

Key Facts

  • Information Dropout: Learning Optimal Representations Through Noisy Computation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Information Dropout: Learning Optimal Representations Through Noisy Computation. Retrieved May 24, 2026, from https://4ort.xyz/entity/information-dropout-learning-optimal-representations-through-noisy-computation
MLA “Information Dropout: Learning Optimal Representations Through Noisy Computation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/information-dropout-learning-optimal-representations-through-noisy-computation.
BibTeX @misc{4ortxyz_information-dropout-learning-optimal-representations-through-noisy-computation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Information Dropout: Learning Optimal Representations Through Noisy Computation}}, year = {2026}, url = {https://4ort.xyz/entity/information-dropout-learning-optimal-representations-through-noisy-computation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Information Dropout: Learning Optimal Representations Through Noisy Computation — https://4ort.xyz/entity/information-dropout-learning-optimal-representations-through-noisy-computation (retrieved 2026-05-24)

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