Claim · 2008 · publication · Stated in source · Supported

Weston, Ratle and Collobert's ICML 2008 paper, "Deep Learning via Semi-Supervised Embedding", uses "deep learning" for training deep multilayer architectures and offers a simple alternative to existing approaches to deep learning.

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

Deep Learning via Semi-Supervised Embedding → uses the name →

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Deep Learning via Semi-Supervised Embeddinguses the name ↓

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2008 · publication Records dated 2008 →

Scope and limitsA located use in the neural sense; not evidence of coinage. The abstract already speaks of “existing approaches to deep learning”. It held the earliest-located role in the candidate pack until the cross-family check located the NIPS 2007 workshop page, recorded separately; the collection keeps the change as a correction. Schmidhuber (2022) names Aizenberg and others (2000), whose sense the check could not establish from a snippet.

The evidence 01

primary sourceSupports the claim

Deep Learning via Semi-Supervised Embedding

ICML 2008 proceedings (icml.cc) · 2008

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“can be applied to deep multilayer architectures, either as a regularizer at the output layer, or on each layer of the architecture. This provides a simple alternative to existing approaches to deep learning”

Location in source PDF p. 1, abstract

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Jason Weston; Frédéric Ratle; Ronan Collobert
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 a30835cfa6011e9a17e0d30e447ef48e27bd341976949eceaacdd08b4aab11fc). Proceedings paper as hosted on the conference site.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Jason Weston, Frédéric Ratle, Ronan Collobert, “Deep Learning via Semi-Supervised Embedding”, 2008.
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 (33 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. A cross-family machine check (31 October 2026, item 65) re-read the record’s sources and found that they support what the record states. Its point that the earliest-located role moved to an earlier page was applied at admission. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A passage of the document uses a name for a family of methods or a term, in the sense the concept’s naming criterion describes or, where labelled, in another sense. The record documents the use; it is not evidence that the name began there, and it implies no influence on or from another text.

Date. Date of publication, as the source gives it.

Record ID th-dl-term-weston-2008