Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Application Areas
Machine Learning
›
Application Areas
›
Data Augmentation
3622 directly classified papers
Papers per year
2002: 2
2006: 1
2008: 2
2009: 1
2011: 3
2012: 3
2013: 9
2014: 8
2015: 7
2016: 35
2017: 45
2018: 108
2019: 239
2020: 329
2021: 477
2022: 518
2023: 607
2024: 561
2025: 546
2026: 121
Papers
Objects365: A Large-Scale, High-Quality Dataset for Object Detection
ICCV 2019
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
AAAI 2019
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM
AAAI 2019
A Feasibility Test on Preventing PRMDs Based on Deep Learning
AAAI 2019
Learning to Augment with Feature Side-information
ACML 2019
Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification
ACML 2019
Improving Neural Conversational Models with Entropy-Based Data Filtering
ACL 2019
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning
AAAI 2019
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
AAAI 2019
Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding
NAACL 2019
Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder
NAACL 2019
Generative Adversarial Networks for Extreme Learned Image Compression
ICCV 2019
Incorporating Emoji Descriptions Improves Tweet Classification
NAACL 2019
Data Augmentation with Atomic Templates for Spoken Language Understanding
IJCNLP 2019
Detection of Propaganda Using Logistic Regression
EMNLP 2019
Learning Multi-Class Segmentations From Single-Class Datasets
CVPR 2019
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
NAACL 2019
Adversarially Trained End-to-End Korean Singing Voice Synthesis System
INTERSPEECH 2019
Learning Sound Events from Webly Labeled Data
IJCAI 2019
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
EMNLP 2019
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets
ICCV 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization
EMNLP 2019
Discriminative Sample Generation for Deep Imbalanced Learning
IJCAI 2019
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation
ACL 2019
Generalizing Back-Translation in Neural Machine Translation
ACL 2019
<
1
…
134
135
136
…
145
>