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← Graph transformer networks allow multimodule document recognition…

13 connected korrents · 11 moments on record from 1 Jan 1998 to 15 Jul 2026.

Everything filed under measuring intelligence measuring intelligence Everything filed under pruning pruning Everything filed under transformers transformers Everything filed under neural networks neural networks Everything filed under transformers transformers Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods to minimize overall performance. Graph transformer networks allowmultimodule document recognition systemsto be trained globally with gradientmethods to minimize overall performance. Last stated 29 years ago 1 Jan 1998 YB Yoshua Bengio — holds since 1998-01-01 — tap for who they are Same subject: Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions. — tap to centre the map on it Sequence transduction can use asimple architecture based solely onattention, without recurrence orconvolutions. Last stated 9 years ago 12 Jun 2017 IP Illia Polosukhin — holds since 2017-06-12 — tap for who they are JU Jakob Uszkoreit — holds since 2017-06-12 — tap for who they are NP Niki Parmar — holds since 2017-06-12 — tap for who they are AV Ashish Vaswani — holds since 2017-06-12 — tap for who they are NS Noam Shazeer — holds since 2017-06-12 — tap for who they are AG Aidan N. Gomez — holds since 2017-06-12 — tap for who they are +2 2 more on record Same subject: A transduction model can rely entirely on self-attention for input and output representations without sequence-aligned RNNs or convolution. — tap to centre the map on it A transduction model can relyentirely on self-attention for inputand output representations withoutsequence-aligned RNNs orconvolution. Last stated 9 years ago 12 Jun 2017 IP Illia Polosukhin — holds since 2017-06-12 — tap for who they are JU Jakob Uszkoreit — holds since 2017-06-12 — tap for who they are NP Niki Parmar — holds since 2017-06-12 — tap for who they are AV Ashish Vaswani — holds since 2017-06-12 — tap for who they are NS Noam Shazeer — holds since 2017-06-12 — tap for who they are AG Aidan N. Gomez — holds since 2017-06-12 — tap for who they are +2 2 more on record Same subject: Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read. — tap to centre the map on it Work on large language models is notprogress toward artificial generalintelligence, because the models donot understand what they read. Last stated a year ago 30 Jul 2025 AG Alexey Guzey — holds since 2024-08-09 — tap for who they are AG Alexey Guzey — no longer holds since 2025-07-30 — tap for who they are Same subject: With suitable architecture, gradient-based learning can form decision surfaces that classify high-dimensional patterns such as handwritten characters with minimal preprocessing. — tap to centre the map on it With suitable architecture,gradient-based learning can formdecision surfaces that classifyhigh-dimensional patterns such ashandwritten characters with minimalpreprocessing. Last stated 29 years ago 1 Jan 1998 YB Yoshua Bengio — holds since 1998-01-01 — tap for who they are Same subject: Residual networks are easier to optimize than plain ones and keep gaining accuracy as depth increases. — tap to centre the map on it Residual networks are easier tooptimize than plain ones and keepgaining accuracy as depth increases. Last stated 11 years ago 10 Dec 2015 JS Jian Sun — holds since 2015-12-10 — tap for who they are KH Kaiming He — holds since 2015-12-10 — tap for who they are Same subject: Context engineering has stayed relevant for a year because it is grounded in how transformer attention works, and it will matter to anyone building on AI until post-transformer models arrive. — tap to centre the map on it Context engineering has stayedrelevant for a year because it isgrounded in how transformerattention works, and it will matterto anyone building on AI untilpost-transformer models arrive. Last stated 2 months ago 15 Jul 2026 DH Dex Horthy — holds since 2026-07-15 — tap for who they are Same subject: Self-attention can yield more interpretable models. — tap to centre the map on it Self-attention can yield moreinterpretable models. Last stated 9 years ago 12 Jun 2017 IP Illia Polosukhin — holds since 2017-06-12 — tap for who they are JU Jakob Uszkoreit — holds since 2017-06-12 — tap for who they are NP Niki Parmar — holds since 2017-06-12 — tap for who they are AV Ashish Vaswani — holds since 2017-06-12 — tap for who they are NS Noam Shazeer — holds since 2017-06-12 — tap for who they are AG Aidan N. Gomez — holds since 2017-06-12 — tap for who they are +2 2 more on record Same subject: If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks. — tap to centre the map on it If intelligence is the process ofacquiring skills, no single taskdemonstrates intelligence unless itis a meta-task of skill-acquisitionacross many tasks. Last stated 7 years ago 5 Nov 2019 FC François Chollet — holds since 2019-11-05 — tap for who they are Same subject: Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. — tap to centre the map on it Language models are already a formof AGI; what the labs are chasing isa further step, not the arrival ofgeneral intelligence. Last stated 2 years ago 3 Feb 2025 NL Nathan Lambert — holds since 2025-02-03 — tap for who they are Same subject: Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience. — tap to centre the map on it Solely measuring skill at any giventask falls short of measuringintelligence, because skill isheavily modulated by prior knowledgeand experience. Last stated 7 years ago 5 Nov 2019 FC François Chollet — holds since 2019-11-05 — tap for who they are Same subject: A small enough winning ticket learns faster than the network it was cut out of, and ends up more accurate than it. — tap to centre the map on it A small enough winning ticket learnsfaster than the network it was cutout of, and ends up more accuratethan it. Last stated 9 years ago 9 Mar 2018 MC Michael Carbin — holds since 2018-03-09 — tap for who they are JF Jonathan Frankle — holds since 2018-03-09 — tap for who they are Same subject: A winning ticket wins on its initial weights: the connections it keeps started at values that happen to make training work. — tap to centre the map on it A winning ticket wins on its initialweights: the connections it keepsstarted at values that happen tomake training work. Last stated 9 years ago 9 Mar 2018 MC Michael Carbin — holds since 2018-03-09 — tap for who they are JF Jonathan Frankle — holds since 2018-03-09 — tap for who they are Same subject: Batteries will replace transmission as the cheapest way to keep the lights on, and the grid will shrink rather than grow. — tap to centre the map on it Batteries will replace transmissionas the cheapest way to keep thelights on, and the grid will shrinkrather than grow. Last stated 9 months ago 8 Dec 2025 CH Casey Handmer — holds since 2023-10-11 — tap for who they are CH Casey Handmer — holds since 2025-12-08 — tap for who they are
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At the centre Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods to minimize overall performance. Last stated 1 Jan 1998 · 29 years ago Holds Yoshua Bengio Read this korrent →