transformer models - Robuta Search

https://www.cake.me/companies/vietnam-jobs-hub/jobs/google-skills-transformer-models-and-bert-model

Google Skills - Transformer Models and BERT Model - Vietnam Jobs Hub | Cake

Apply for job openings at Vietnam Jobs Hub now. Job description: none

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https://stackoverflow.blog/2024/04/04/how-do-mixture-of-experts-layers-affect-transformer-models/

How do mixture-of-experts layers affect transformer models? - Stack Overflow

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https://aclanthology.org/2024.nlp4dh-1.37/

Classification of Buddhist Verses: The Efficacy and Limitations of Transformer-Based Models - ACL...

Nikita Neveditsin, Ambuja Salgaonkar, Pawan Lingras, Vijay Mago. Proceedings of the 4th International Conference on Natural Language Processing for Digital...

classification buddhist verses efficacy limitations

https://openreview.net/forum?id=8uhXfdSJmA&referrer=%5Bthe%20profile%20of%20Lele%20Cao%5D(%2Fprofile%3Fid%3D~Lele_Cao1)

Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models | OpenReview

Transformer models have become the dominant backbone for sequence modeling, leveraging self-attention to produce contextualized token representations. These...

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https://aclanthology.org/2023.emnlp-main.534/

Disentangling Transformer Language Models as Superposed Topic Models - ACL Anthology

Jia Peng Lim, Hady Lauw. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

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https://aclanthology.org/2023.findings-emnlp.230/

Detecting Syntactic Change with Pre-trained Transformer Models - ACL Anthology

Liwen Hou, David Smith. Findings of the Association for Computational Linguistics: EMNLP 2023. 2023.

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https://www.preprints.org/manuscript/202411.1070

Enhancing Educational Content Matching Using Transformer Models and InfoNCE Loss[v1] | Preprints.org

The task of matching educational content to specific topics within curricula is crucial for enhancing learning outcomes and ensuring that students receive...

educational content transformer models enhancing matching using

https://www.se.com/ee/et/product/NSYCUSP0104/transformer-for-triphased-models-side-or-topmounting-cooling-unit-or-hd-2000w/

NSYCUSP0104 - Transformer for triphased models side or top-mounting cooling unit or HD 2000W |...

Schneider Electric Eesti. NSYCUSP0104 - Transformer for triphased models side or top-mounting cooling unit or HD 2000W.

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https://huggingface.co/papers/2309.10931

Paper page - A Family of Pretrained Transformer Language Models for Russian

Join the discussion on this paper page

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https://deepai.org/publication/tsnat-two-step-non-autoregressvie-transformer-models-for-speech-recognition

TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition | DeepAI

04/04/21 - The autoregressive (AR) models, such as attention-based encoder-decoder models and RNN-Transducer, have achieved great success in ...

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https://www.techtarget.com/searchenterpriseai/tip/GAN-vs-transformer-models-Comparing-architectures-and-uses

GAN vs. transformer models: Comparing architectures and uses | TechTarget

Explore GAN vs. transformer architecture, the best use cases for each and which approach might gain the upper hand.

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https://www.skills.google/public_profiles/7fb1d045-6ce3-46f8-90f6-b56f9ab0cc7f/badges/13618251

Transformer Models and BERT Model | Google Skills

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https://www.purestorage.com/br/knowledge/transformer-models.html

What Are Transformer Models? | Pure Storage

Explore the transformer model - the neural network architecture that revolutionized AI and the infrastructure requirements for enterprise implementation.

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https://www.educative.io/courses/building-grammatical-error-correction-models-with-python/transformer-based-spell-check

Transformer-Based Spell Check with Machine Translation Models

Learn how transformer models correct spelling errors by treating misspelled words as source language and generating accurate spell corrections using novel...

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https://www.amazon.science/code-and-datasets/data-augmentation-using-pre-trained-transformer-models

Data augmentation using pre-trained transformer models - Amazon Science

Language model based pre-trained models such as BERT have provided significant gains across different NLP tasks. In this paper, we study different types of...

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https://huggingface.co/papers/2312.11720

Paper page - Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models

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https://www.preprints.org/manuscript/202309.1859

Improving Stability of Transformer-based Named Entity Recognition Models with Combined Data...

This study leverages transformer-based models and focuses on data representation strategies in the named entity recognition task, including "single" (one...

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https://aclanthology.org/2022.ltedi-1.29/

scubeMSEC@LT-EDI-ACL2022: Detection of Depression using Transformer Models - ACL Anthology

Sivamanikandan S, Santhosh V, Sanjaykumar N, Jerin Mahibha C, Thenmozhi Durairaj. Proceedings of the Second Workshop on Language Technology for Equality,...

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https://arxiv.org/abs/1904.02679v1

[1904.02679v1] Visualizing Attention in Transformer-Based Language models

Abstract page for arXiv paper 1904.02679v1: Visualizing Attention in Transformer-Based Language models

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https://github.com/zzxslp/RadBERT

GitHub - zzxslp/RadBERT: Code and models for Paper RadBERT: Adapting transformer-based language...

Code and models for Paper RadBERT: Adapting transformer-based language models to radiology - zzxslp/RadBERT

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https://openreview.net/forum?id=thbXgJ8gNK&referrer=%5Bthe%20profile%20of%20Matt%20J.%20Kusner%5D(%2Fprofile%3Fid%3D~Matt_J._Kusner2)

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models |...

The computation necessary for training Transformer-based language models has skyrocketed in recent years. This trend has motivated research on efficient...

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https://www.skills.google/public_profiles/ce5db4a7-df4a-4aaa-aed0-ce2eed314b7d/badges/3651522

Transformer Models and BERT Model | Google Skills

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https://www.purestorage.com/de/knowledge/transformer-models.html

What Are Transformer Models? | Pure Storage

Explore the transformer model - the neural network architecture that revolutionized AI and the infrastructure requirements for enterprise implementation.

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https://www.amazon.science/code-and-datasets/tanda-transfer-and-adapt-pre-trained-transformer-models-for-answer-sentence-selection

TANDA: Transfer and adapt pre-trained transformer models for answer sentence selection - Amazon...

We propose TANDA, an effective technique for fine-tuning pre-trained Transformer models for natural language tasks. Specifically, we first transfer a...

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https://realpython.com/podcasts/rpp/121/

Episode #121: Moving NLP Forward With Transformer Models and Attention – The Real Python Podcast

What's the big breakthrough for Natural Language Processing (NLP) that has dramatically advanced machine learning into deep learning? What makes these...

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https://www.purestorage.com/uk/knowledge/transformer-models.html

What Are Transformer Models? | Pure Storage

Explore the transformer model - the neural network architecture that revolutionized AI and the infrastructure requirements for enterprise implementation.

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https://openreview.net/forum?id=z03LaxeuKV&referrer=%5Bthe%20profile%20of%20Huy%20Quang%20Ung%5D(%2Fprofile%3Fid%3D~Huy_Quang_Ung1)

Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction |...

Robust predictions of traffic congestion play a crucial role in intelligent transportation systems. Recently, multimodal data have been applied to improve the...

traffic congestion towards multimodal temporal transformer

https://pubmed.ncbi.nlm.nih.gov/41326819/

Multimodal foundation transformer models for multiscale genomics

Transformer-based models are rapidly becoming foundational tools for analyzing and integrating multiscale biological data. This Perspective examines recent...

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https://deepai.org/publication/mlpruning-a-multilevel-structured-pruning-framework-for-transformer-based-models

MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models | DeepAI

05/30/21 - Pruning is an effective method to reduce the memory footprint and computational cost associated with large natural language proces...

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