https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/2-23ai/mlpug/python-classes-convert-pretrained-models-onnx-models.html
Python Classes to Convert Pretrained Models to ONNX Models
python classespretrained modelsconvertonnx
https://d3tk.github.io/publication/2025-12-01-remote-sensing-thesis
On the Effectiveness of Pretrained Models for Remote Sensing - Declan K.
Oct 17, 2025 - M.S. thesis analyzing when ImageNet or satellite pretraining helps remote sensing, and how representation quality drives transfer.
on thepretrained modelsremote sensingeffectiveness
https://www.research.ed.ac.uk/en/datasets/code-pretrained-models-for-zmm-tts/
[CODE] Pretrained models for ZMM-TTS - University of Edinburgh Research Explorer
university of edinburghpretrained modelscodezmm
https://huggingface.co/papers/2208.02816
Paper page - Expanding Language-Image Pretrained Models for General Video Recognition
Join the discussion on this paper page
paper pagepretrained modelsfor generalexpandinglanguage
https://fr.mathworks.com/help/audio/pretrained-models.html?s_tid=CRUX_topnav
Pretrained Models - MATLAB & Simulink
Transfer learning, sound classification, feature embeddings, pretrained audio deep learning networks
pretrained modelsmatlabsimulink
https://sbert.net/docs/sparse_encoder/pretrained_models.html
Pretrained Models — Sentence Transformers documentation
pretrained modelssentence transformersdocumentation
https://research.ibm.com/publications/efficient-equivariant-transfer-learning-from-pretrained-models
Efficient Equivariant Transfer Learning from Pretrained Models for NeurIPS 2023 - IBM Research
Efficient Equivariant Transfer Learning from Pretrained Models for NeurIPS 2023 by Sourya Basu et al.
transfer learningpretrained models
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/2/mlugp/convert-pretrained-models-onnx-model-end-end-instructions.html
Convert Pretrained Models to ONNX Model: End-to-End Instructions
This section provides end-to-end instructions from installing the OML4Py client to downloading a pretrained embedding model in ONNX-format using the Python...
pretrained modelsconvertonnxendinstructions
https://in.mathworks.com/help/medical-imaging/ref/downloadcellposemodels.html
downloadCellposeModels - Download pretrained models from Cellpose Library - MATLAB
This MATLAB function downloads all of the pretrained models available in the Cellpose Library to the userpath folder, within the subfolder cellposeModels, on...
pretrained modelsdownloadlibrarymatlab
https://sbert.net/docs/cross_encoder/pretrained_models.html
Pretrained Models — Sentence Transformers documentation
pretrained modelssentence transformersdocumentation
https://projectavi-portfolio.netlify.app/research/research-2/
Downstream Feature Masking for Contrastive Pretrained Models (Ongoing) - Aviraj Newatia
A research project in collaboration with Patrik Reizinger on unlearning in contrastive self-supervised models
pretrained modelsdownstreamfeaturemaskingongoing
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/2/mlugp/python-classes-convert-pretrained-models-onnx-models.html
Python Classes to Convert Pretrained Models to ONNX Models
Explore the functions and attributes of the EmbeddingModelConfig class and EmbeddingModel class within Python. These classes are designed to configure...
python classespretrained modelsconvertonnx
https://openreview.net/forum?id=j-63FSNcO5a
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive...
From the intuitive notion of disentanglement, the image variations corresponding to different generative factors should be distinct from each other, and the...
generative modelslearningrepresentationexploitingpretrained
https://arxiv.org/html/2402.10373v1
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
large language models
https://zhangtemplar.github.io/battle-backbone/
Battle of the Backbones A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks...
Oct 29, 2023 - This is my reading note for Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. This paper benchmarks...
https://arxiv.org/abs/2508.09874
[2508.09874] Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
Abstract page for arXiv paper 2508.09874: Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
plug and play