data augmentation - Robuta Search

https://www.plasticsurgery.org/news/press-releases/evolving-trends-in-cosmetic-breast-augmentation-new-data?utm_source=chatgpt.com

Evolving Trends in Cosmetic Breast Augmentation: New Data | ASPS

Ongoing quality improvement data submitted by Board-certified plastic surgeons highlight current trends in surgical technique in cosmetic breast augmentation...

breast augmentation evolving trends cosmetic new

https://aclanthology.org/2020.wnut-1.64/

NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative -...

Kumud Chauhan. Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020). 2020.

data augmentation neu task tell

https://deepai.org/publication/convergence-properties-of-data-augmentation-algorithms-for-high-dimensional-robit-regression

Convergence properties of data augmentation algorithms for high-dimensional robit regression |...

12/20/21 - The logistic and probit link functions are the most common choices for regression models with a binary response. However, these ch...

data augmentation high dimensional convergence properties algorithms

https://www.mdpi.com/2071-1050/14/19/12479

A Comparative Study of Engraved-Digit Data Augmentation by Generative Adversarial Networks

In cases where an efficient information retrieval (IR) system retrieves information from images with engraved digits, as found on medicines, creams, ointments,...

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https://www.cudocompute.com/blog/data-augmentation-techniques-for-better-model-performance

Data augmentation: The complete guide

Oct 17, 2024 - Learn how to use data augmentation to improve the performance of your machine-learning models. Explore various techniques and cloud implementation strategies...

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https://www.appier.com/en/products/aixon

AIXON - Intelligent Data Augmentation Platform ｜Appier

Maximize user enrichment via no-code AutoML: configure and deploy AI models with just a few clicks

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https://aclanthology.org/2023.eacl-main.262/

Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question...

Shinwoo Park, Youngwook Kim, Yo-Sub Han. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. 2023.

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https://openreview.net/forum?id=zIbKvNMJK2r&referrer=%5Bthe%20profile%20of%20Huda%20Khayrallah%5D(%2Fprofile%3Fid%3D~Huda_Khayrallah1)

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation | OpenReview

Neural Machine Translation (NMT) models are known to suffer from noisy inputs. To make models robust, we generate adversarial augmentation samples that attack...

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https://gdaug.cs.northwestern.edu/qa

G-DAUG - Generative Data Augmentation for Commonsense Reasoning | Northwestern University

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https://aclanthology.org/2022.coling-1.409/

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification - ACL Anthology

Hui Chen, Wei Han, Diyi Yang, Soujanya Poria. Proceedings of the 29th International Conference on Computational Linguistics. 2022.

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https://aclanthology.org/W19-8304/

Data Augmentation Based on Distributed Expressions in Text Classification Tasks - ACL Anthology

Yu Sugawara. Proceedings of the 1st International Workshop of AI Werewolf and Dialog System (AIWolfDial2019). 2019.

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https://aclanthology.org/2023.bea-1.22/

Improving Reading Comprehension Question Generation with Data Augmentation and...

Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew Lan. Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications...

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https://murpheylab.github.io/low-data-nerf/

Data Augmentation for NeRFs in the Low Data Limit

Augmenting NeRF training data in the low data limit.

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https://arxiv.org/abs/2308.11084

[2308.11084] PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion

Abstract page for arXiv paper 2308.11084: PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion

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https://deepai.org/publication/kernel-convoluted-deep-neural-networks-with-data-augmentation

Kernel-convoluted Deep Neural Networks with Data Augmentation | DeepAI

12/04/20 - The Mixup method (Zhang et al. 2018), which uses linearly interpolated data, has emerged as an effective data augmentation tool to...

deep neural networks data augmentation kernel convoluted

https://aclanthology.org/2021.emnlp-main.138/

Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning - ACL Anthology

Seonghyeon Ye, Jiseon Kim, Alice Oh. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.

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https://deepai.org/publication/vflow-more-expressive-generative-flows-with-variational-data-augmentation

VFlow: More Expressive Generative Flows with Variational Data Augmentation | DeepAI

02/22/20 - Generative flows are promising tractable models for density modeling that define probabilistic distributions with invertible trans...

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https://arxiv.org/abs/2302.08682

[2302.08682] Random Padding Data Augmentation

Abstract page for arXiv paper 2302.08682: Random Padding Data Augmentation

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