Data Augmentation

Data augmentation involves techniques used for increasing the amount of data, based on different modifications, to expand the amount of examples in the original dataset. Data augmentation not only helps to grow the dataset but it also increases the diversity of the dataset. When training machine learning models, data augmentation acts as a regularizer and helps to avoid overfitting.

Data augmentation techniques have been found useful in domains like NLP and computer vision. In computer vision, transformations like cropping, flipping, and rotation are used. In NLP, data augmentation techniques can include swapping, deletion, random insertion, among others.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4126–4150 of 8378 papers

Title	Date	Tasks	Status	Hype
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization	Aug 3, 2022	ClassificationData Augmentation	CodeCode Available	1
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models	Aug 3, 2022	Data Augmentation	CodeCode Available	0
A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval	Aug 3, 2022	Data AugmentationRetrieval	CodeCode Available	1
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences	Aug 3, 2022	counterfactualData Augmentation	—Unverified	0
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples	Aug 3, 2022	Binary ClassificationData Augmentation	CodeCode Available	0
Benchmarking zero-shot and few-shot approaches for tokenization, tagging, and dependency parsing of Tagalog text	Aug 3, 2022	BenchmarkingData Augmentation	—Unverified	0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization	Aug 2, 2022	Data AugmentationDiversity	—Unverified	0
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis	Aug 2, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	3
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction	Aug 2, 2022	Data Augmentation	—Unverified	0
Multilingual Coreference Resolution in Multiparty Dialogue	Aug 2, 2022	coreference-resolutionCoreference Resolution	CodeCode Available	0
Few-Shot Class-Incremental Learning from an Open-Set Perspective	Jul 30, 2022	class-incremental learningClass Incremental Learning	CodeCode Available	1
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds	Jul 30, 2022	3D Object Detection3D Unsupervised Domain Adaptation	CodeCode Available	2
A Multi-View Learning Approach to Enhance Automatic 12-Lead ECG Diagnosis Performance	Jul 30, 2022	Data AugmentationMULTI-VIEW LEARNING	—Unverified	0
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding	Jul 29, 2022	Contrastive LearningData Augmentation	—Unverified	0
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation	Jul 29, 2022	3D Human Pose Estimation3D Multi-Person Pose Estimation (absolute)	—Unverified	0
SimCURL: Simple Contrastive User Representation Learning from Command Sequences	Jul 29, 2022	Data AugmentationRepresentation Learning	—Unverified	0
Robust Trajectory Prediction against Adversarial Attacks	Jul 29, 2022	Autonomous DrivingData Augmentation	—Unverified	0
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation	Jul 29, 2022	Data Augmentationtext-to-speech	—Unverified	0
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval	Jul 29, 2022	Cross-Modal RetrievalData Augmentation	—Unverified	0
Self-Supervised Hypergraph Transformer for Recommender Systems	Jul 28, 2022	Collaborative FilteringData Augmentation	CodeCode Available	1
Efficient Training of Language Models to Fill in the Middle	Jul 28, 2022	Data Augmentation	CodeCode Available	2
Optimization of Artificial Neural Networks models applied to the identification of images of asteroids' resonant arguments	Jul 28, 2022	Data Augmentation	CodeCode Available	0
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions	Jul 28, 2022	Data AugmentationOut of Distribution (OOD) Detection	CodeCode Available	0
Persona-Knowledge Dialogue Multi-Context Retrieval and Enhanced Decoding Methods	Jul 28, 2022	Data AugmentationDialogue Generation	—Unverified	0
Depth Field Networks for Generalizable Multi-view Scene Representation	Jul 28, 2022	Data AugmentationDepth Estimation	CodeCode Available	2

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All datasets ImageNet CIFAR-10 GA1457

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DeiT-B (+MixPro)	Accuracy (%)	82.9	—	Unverified
2	ResNet-200 (DeepAA)	Accuracy (%)	81.32	—	Unverified
3	DeiT-S (+MixPro)	Accuracy (%)	81.3	—	Unverified
4	ResNet-200 (Fast AA)	Accuracy (%)	80.6	—	Unverified
5	ResNet-200 (UA)	Accuracy (%)	80.4	—	Unverified
6	ResNet-200 (AA)	Accuracy (%)	80	—	Unverified
7	ResNet-50 (DeepAA)	Accuracy (%)	78.3	—	Unverified
8	ResNet-50 (TA wide)	Accuracy (%)	78.07	—	Unverified
9	ResNet-50 (LoRot-E)	Accuracy (%)	77.72	—	Unverified
10	ResNet-50 (LoRot-I)	Accuracy (%)	77.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WideResNet-40-2 (Faster AA)	Percentage error	3.7	—	Unverified
2	Shake-Shake (26 2×32d) (Faster AA)	Percentage error	2.7	—	Unverified
3	WideResNet-28-10 (Faster AA)	Percentage error	2.6	—	Unverified
4	Shake-Shake (26 2×96d) (Faster AA)	Percentage error	2	—	Unverified
5	Shake-Shake (26 2×112d) (Faster AA)	Percentage error	2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DiffAug	Classification Accuracy	92.7	—	Unverified
2	PaCMAP	Classification Accuracy	85.3	—	Unverified
3	hNNE	Classification Accuracy	77.4	—	Unverified
4	TopoAE	Classification Accuracy	74.6	—	Unverified