Vision models in 2011
7
Models
4 organisations
0%
Open weights
0 open, 4 closed
2
Frontier
By Epoch's flag
140M
Largest traceable
Deep Autoencoders
2011
Span
1 with a traceable size
Releases
by monthOrganisation
Records
7| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| CNN committee (traffic sign) | IDSIA | 2011-10 | 1M * | Closed |
| CNN Committee (MNIST) | IDSIA | 2011-09 | 120,620 * | Closed |
| CNN Committee (NIST) | IDSIA | 2011-09 | 128,420 * | Closed |
| High Performance CNN (NORB) | IDSIA | 2011-07 | 5M * | Closed |
| Recursive Neural Network | Stanford University | 2011-06 | — | Not recorded |
| Deep Autoencoders | University of Toronto | 2011-04 | 140M | Not recorded |
| Deep rectifier networks | University of Montreal / Université de Montréal | 2011-04 | — | Not recorded |
An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.
Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.
Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.