https://research.ucc.ie/en/publications/direct-neural-model-reference-adaptive-control/
Direct neural model reference adaptive control - Discover Research at University College Cork
neural modeladaptive control
https://aclanthology.org/U19-1007/
Feature-guided Neural Model Training for Supervised Document Representation Learning - ACL Anthology
Aili Shen, Bahar Salehi, Jianzhong Qi, Timothy Baldwin. Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association. 2019.
neural model
https://gamedevjsweekly.com/559
Capacitor tutorial, GameNGen neural model, and a beautiful mess | Gamedev.js Weekly
a beautiful messneural model
https://arxiv.org/abs/1810.05739
[1810.05739] MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
Abstract page for arXiv paper 1810.05739: MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
neural model
https://aclanthology.org/W16-5807/
A Neural Model for Language Identification in Code-Switched Tweets - ACL Anthology
Aaron Jaech, George Mulcaire, Mari Ostendorf, Noah A. Smith. Proceedings of the Second Workshop on Computational Approaches to Code Switching. 2016.
neural modellanguage identification
https://arxiv.org/abs/1612.07837
[1612.07837] SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Abstract page for arXiv paper 1612.07837: SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
audio generationsamplernnunconditional
https://openreview.net/forum?id=SJxSOJStPr
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning | OpenReview
We propose an expansion-based approach for task-free continual learning for the first time. Our model consists of a set of neural network experts and expands...
https://theneuralbase.com/cerebras/learn/advanced/model-loading-patterns/
Model loading patterns | Cerebras Advanced Course | The Neural Base
Cerebras abstracts model loading entirely: you specify the model name in your request, and the cloud handles instantiation and optimization.
advanced coursemodelloadingpatternscerebras
https://ir.lib.pdn.ac.lk/items/537937ba-4351-464c-8c95-4e2b0a6d13e7/full
Neural network model for estimating the emission of greenhouse Gases in echosystem with solar...
The instantaneous classification and estimation of environmental data as well as the prediction of future events based on them has become an essential feature...
https://invenio.nusl.cz/record/678279
Deep Convolutional Neural Network Model For Classification Of Atrial Fibrillation - Digital...
Atrial fibrillation is a very common heart pathology, which is usually detected from electrocardiogram (ECG). This article presents recognition of atrial...
convolutional neural networkatrial fibrillationdeepmodel
https://www.isca-archive.org/interspeech_2016/liu16j_interspeech.html
ISCA Archive - Model-Based Parametric Prosody Synthesis with Deep Neural Network
iscaarchivemodelbasedparametric
https://theneuralbase.com/model-merging/learn/advanced/learned-merging-coefficients/
Learned merging coefficients | Model Merging Advanced Course | The Neural Base
Instead of manually choosing how much of each model to blend, you can train coefficients that automatically learn the optimal mixing ratio for your downstream...
model advancedlearnedmergingcoefficientscourse
https://se.mathworks.com/help/stats/fitrnet.html
fitrnet - Train neural network regression model - MATLAB
Use fitrnet to train a neural network for regression, such as a feedforward, fully connected network.
neural networkregression modeltrainmatlab
https://huggingface.co/papers/2508.15884
Paper page - Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
Join the discussion on this paper page
paper pagelanguage model
https://cbmm.mit.edu/publications/neural-regression-representational-similarity-model-zoology-neural-taskonomy-scale
Neural Regression, Representational Similarity, Model Zoology Neural Taskonomy at Scale in Rodent...
at scaleneuralregressionrepresentationalsimilarity
https://proceedings.mlr.press/v162/tirer22a.html
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Jun 28, 2022 - Extended Unconstrained Features Model for Exploring Deep Neural CollapseTom Tirer, Joan BrunaThe modern strategy for training deep neural networks for c...
extendedunconstrainedfeaturesmodelexploring
https://experts.mcmaster.ca/scholarly-works/2137442
Development of an artificial neural network model...
Learn about the scholarly work entitled Development of an artificial neural network model...
artificial neural networkdevelopmentmodel