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Data augmentation
Improving Sequence-To-Sequence Speech Recognition Training with On-The-Fly Data Augmentation
A Group-Theoretic Framework for Data Augmentation
Real-Time Monitoring for Hydraulic States Based on Convolutional Bidirectional LSTM with Attention Mechanism
Data Augmentation and Feature Selection for Automatic Model Recommendation in Computational Physics
Generative Adversarial Networks to Improve the Robustness of Visual Defect Segmentation by Semantic Networks in Manufacturing Components
Posture Recognition Using Ensemble Deep Models Under Various Home Environments
Automatic Relational Data Augmentation for Machine Learning
Data Augmentation Schemes for Deep Learning in an Indoor Positioning Application
Augmenting Image Classifiers Using Data Augmentation Generative
GAN-Based Image Data Augmentation
Image-Based Perceptual Learning Algorithm for Autonomous Driving
Empirical Evaluation of Variational Autoencoders for Data Augmentation
Text Augmentation for Neural Networks
Effective Techniques of the Use of Data Augmentation in Classification
Data Augmentation in HDLSS With
Autoaugment: Learning Augmentation Strategies from Data
Genaug: Data Augmentation for Finetuning Text Generators
Small Data Deep Learning: AI Applied to Domain Datasets
Top View
Improve Image Classification Using Data Augmentation and Neural Networks Shanqing Gu Southern Methodist University,
[email protected]
A Survey on Image Data Augmentation for Deep Learning
Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Reinforcement Learning with Augmented Data
Sparse Signal Models for Data Augmentation in Deep Learning ATR Tushar Agarwal, Nithin Sugavanam and Emre Ertin
Arxiv:1907.03752V2 [Cs.CL] 10 Dec 2020 Augmentation of Text Data to Be Able to Create Robust Models Has Had Different Factors of Success
Data Augmentation for Time Series Classification Using Convolutional Neural Networks Arthur Le Guennec, Simon Malinowski, Romain Tavenard
Faster Autoaugment: Learning Augmentation Strategies Using Backpropagation
Towards More Sample Efficiency in Reinforcement Learning with Data
Data Augmentation Based on Distributed Expressions in Text Classification Tasks
Faster Autoaugment: Learning Augmentation Strategies Using Backpropagation
Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data
Using Data Augmentation Based Reinforcement Learning for Daily Stock Trading
Data Augmentation Using Generative Adversarial Network for Gastrointestinal Parasite Microscopy Image Classification
Data Augmentation for Robust QA System
Automatic Data Augmentation for Generalization in Reinforcement Learning
Data Augmentation by Autoencoders for Unsupervised Anomaly Detection Kasra Babaei, Zhiyuan Chen, Tomas Maul
Arxiv:2007.15951V4 [Cs.LG] 2 Jul 2021 the Challenge of Using Time Series Is That Time Series Are Structural Patterns That Are Dependent on Element Order
Arxiv:2003.02245V2 [Cs.CL] 31 Jan 2021 Plored for Data Augmentation
Differentiable Augmentation for Data-Efficient GAN Training
Augmenting High- Dimensional Data with Deep Generative Models
Data Augmentation Generative Adversarial Networks
Data Augmentation Using Generative Adversarial Networks (Gans) for Gan-Based Detectionof Pneumoniaand Covid-19 in Chest X-Ray Images
Modality-Agnostic Automated Data Augmentation in the Latent Space
Data Augmentation in NLP
DARE: Data Augmented Relation Extraction with GPT-2
A Survey on Bias in Deep NLP
Spatial-Temporal Data Augmentation Based on Lstm Autoencoder Network for Skeleton-Based Human Action Recognition
Implicit Semantic Data Augmentation for Deep Networks
Brain Decoding from Functional MRI Using Long Short- Term Memory Recurrent Neural Networks
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank∗
Self-Paced Data Augmentation for Training Neural Networks
A Kernel Theory of Modern Data Augmentation
Understanding Data Augmentation for Classification
Do Not Have Enough Data? Deep Learning to the Rescue!
Automatic Data Augmentation for Generalization in Reinforcement Learning
On the Importance of Visual Context for Data Augmentation in Scene Understanding
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification
Data Augmentation for Deep-Learning-Based
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Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures
Genaug: Data Augmentation for Finetuning Text Generators
Learning Data Manipulation for Augmentation and Weighting
An Analysis of Simple Data Augmentation for Named Entity Recognition
Towards Textual Data Augmentation for Neural Networks: Synonyms and Maximum Loss
A Bayesian Data Augmentation Approach for Learning Deep Models
Automatic Data Augmentation for Generalization in Reinforcement Learning
Effectiveness of Style Transfer As a Data Augmentation Technique
Text Data Augmentation Through Reinforcement Learning Guided
Data Augmentation Techniques for Legal Text Analytics
Generative Adversarial Networks for Data Augmentation in Structural Adhesive Inspection
A Study of Various Text Augmentation Techniques for Relation Classification in Free Text
Data Augmentation
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Learning Data Manipulation for Augmentation and Weighting
Data Augmentation by Words with Paradigmatic Relations
Reinforcement Learning with Augmented Data