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← Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.
14 connected korrents · 12 moments from 1 Jan 1998 to 24 Sept 2026.
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Read this korrent: Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.
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
LJ
Llion Jones — holds since 2017-06-12 — tap for who they are
ŁK
Łukasz Kaiser — holds since 2017-06-12 — tap for who they are
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 rely entirely on self-attention for input and output representations without sequence-aligned RNNs or convolution.
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
Same subject: Current techniques restrict pre-trained representation power because standard language models are unidirectional. — tap to centre the map on it
Current techniques restrict pre-trained representation power because standard language models are unidirectional.
Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
Same subject: Research on transformer-style attention mechanisms has not yet reached diminishing returns compared to alternative approaches. — tap to centre the map on it
Research on transformer-style attention mechanisms has not yet reached diminishing returns compared to alternative approaches.
Last stated 5 years ago
3 Jun 2021
GW
Gwern — holds since 2021-06-03 — tap for who they are
Same subject: Looped/recurrent-depth transformer architectures can improve model quality at a fixed compute budget when the model is large enough. — tap to centre the map on it
Looped/recurrent-depth transformer architectures can improve model quality at a fixed compute budget when the model is large enough.
Last stated 2 months ago
9 Sept 2026
SR
Sebastian Raschka — holds since 2026-09-09 — tap for who they are
Same subject: Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods to minimize overall performance. — tap to centre the map on it
Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods 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: Standard recurrent neural networks are theoretically capable of representing long-term dependencies but fail to learn them from data in practice. — tap to centre the map on it
Standard recurrent neural networks are theoretically capable of representing long-term dependencies but fail to learn them from data in practice.
Last stated 11 years ago
27 Aug 2015
CO
Christopher Olah — holds since 2015-08-27 — tap for who they are
Same subject: Pre-trained representations reduce the need for many heavily-engineered task-specific architectures. — tap to centre the map on it
Pre-trained representations reduce the need for many heavily-engineered task-specific architectures.
Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
Same subject: We have almost no automated techniques for making a system transfer what it learns, and none of the few we have are used in modern deep learning. — tap to centre the map on it
We have almost no automated techniques for making a system transfer what it learns, and none of the few we have are used in modern deep learning.
Last stated a year ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: "Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible. — tap to centre the map on it
"Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible.
Last stated 3 years ago
25 Oct 2023
AH
Anton Howes — holds since 2023-10-25 — tap for who they are
Same subject: A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. — tap to centre the map on it
A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use.
Last stated 5 months ago
2 Jun 2026
JJ
Justin Jackson — holds since 2026-06-02 — tap for who they are
Same subject: A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves. — tap to centre the map on it
A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves.
Last stated 3 months ago
21 Jul 2026
RT
Ruxandra Teslo — holds since 2026-07-21 — tap for who they are
Same subject: A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face. — tap to centre the map on it
A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face.
Last stated a month ago
24 Sept 2026
MS
M.G. Siegler — holds since 2026-09-24 — tap for who they are
Same subject: A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart. — tap to centre the map on it
A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart.
Last stated 2 months ago
9 Sept 2026
EB
Ed Bayes — holds since 2026-09-09 — tap for who they are
Same subject: A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. — tap to centre the map on it
A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do.
Last stated a year ago
12 May 2025
JZ
Julie Zhuo — holds since 2025-05-12 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 1998 to today (stretched back to the oldest claim here) — full is today a face: someone who holds the claim — tap it for who they are