AI Analytics1,072 recordsRecounted 23 September 2026

Models in 2014

Weightsopen closed unknown frontier only

Year2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016

1 filter active, showing 33 of 1,072 recordsClear all

Models

21 organisations

17%

Open weights

1 open, 5 closed

Frontier

By Epoch's flag

Largest traceable

Seq2Seq LSTM

2014

Span

9 with a traceable size

Releases

by month

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Apr

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Jul

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Records

Models in 2014, newest first. Each row links to the source Epoch AI records for it.
Model	Organisation	Released	Parameters	Weights
ADAM (CIFAR-10)	University of Amsterdam	2014-12	2M	Closed
Fractional Max-Pooling	University of Warwick	2014-12	27M *	Not recorded
SNM-skip	Google	2014-12	62B *	Not recorded
Cascaded LNet-ANet	Chinese University of Hong Kong (CUHK)	2014-11	—	Not recorded
Fully Convolutional Networks	University of California (UC) Berkeley	2014-11	—	Not recorded
LRCN	UT Austin	2014-11	143M *	Not recorded
SC-NLM	University of Toronto	2014-11	—	Not recorded
TA-CNN	Chinese University of Hong Kong (CUHK)	2014-11	706,048 *	Closed
Deeply-supervised nets	Microsoft Research	2014-09	—	Not recorded
GoogLeNet / InceptionV1	Google	2014-09	7M	Not recorded
RNNsearch-50*	Jacobs University Bremen	2014-09	—	Not recorded
Seq2Seq LSTM	Google	2014-09	2B	Not recorded
Spatially-Sparse CNN	University of Warwick	2014-09	—	Not recorded
SPN-4+KN5	Singapore University of Technology & Design	2014-09	5M *	Closed
VGG16	University of Oxford	2014-09	138M	Not recorded
VGG19	University of Oxford	2014-09	144M *	Not recorded
NPD	IEEE	2014-08	313,856	Open
ACF-WIDER	Chinese Academy of Sciences	2014-07	6,144	Closed
SmooCT	University College London (UCL)	2014-07	—	Not recorded
AdaRNN	Beihang University	2014-06	13,040	Not recorded
DeepFace	Tel Aviv University	2014-06	—	Not recorded
Dropout: SVHN	University of Toronto	2014-06	48M	Closed
Fragment embedding	Stanford University	2014-06	144M *	Not recorded
GANs	University of Montreal / Université de Montréal	2014-06	—	Not recorded
GRUs	University of Montreal / Université de Montréal	2014-06	—	Not recorded
Multiresolution CNN	Google	2014-06	126M *	Not recorded
RNN-WER	DeepMind	2014-06	27M *	Not recorded
SPPNet	Microsoft	2014-06	—	Not recorded
Two-stream ConvNets for action recognition	University of Oxford	2014-06	—	Not recorded
Paragraph Vector	Google	2014-05	32M	Not recorded
HyperNEAT	University of Texas at Austin	2014-03	239,712 *	Not recorded
GloVe (32B)	Stanford University	2014-01	120M *	Not recorded
GloVe (6B)	Stanford University	2014-01	120M *	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.

How this museum is made

Models in 2014

Releases

Organisation

Country

Domain

Records