Claim · 2014-06-10 · event · Stated in source · Supported

Goodfellow et al. (2014) open with "The promise of deep learning is to discover rich, hierarchical models".

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Generative Adversarial Nets → uses the name →

Where it appears

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Claim and evidence

Generative Adversarial Netsuses the name ↓

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2014-06-10 · event Records dated 2014 →

Scope and limitsA use.

The evidence 01

primary sourceSupports the claim

Generative Adversarial Nets (arXiv:1406.2661v1)

arXiv · 2014-06-10

Cite the original source

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Source excerpt

“The promise of deep learning is to discover rich, hierarchical models [2] that represent probability distributions”

Location in source PDF p. 1, section 1

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Ian J. Goodfellow; Jean Pouget-Abadie; Mehdi Mirza; Bing Xu; David Warde-Farley; Sherjil Ozair; Aaron Courville; Yoshua Bengio
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 ff5819e3a7b713c3bd3107b7de3d51fe0a347aa5d8444f0efdcf2345ef0a8b63). arXiv version 1 of 10 June 2014.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio, “Generative Adversarial Nets (arXiv:1406.2661v1)”, 2014-06-10.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, Kinds of AI and technical history (research/technical-history). The quotation (16 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes, PDF line-break hyphens and Unicode compatibility forms, so the source’s typography can differ. No human editorial review.

Status and meaning

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Record ID th-dl-term-goodfellow-2014