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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Open-Set Audio Classification with Limited Training Resources Based on Augmentation Enhanced Variational Auto-Encoder GAN with Detection-Classification Joint Training INTERSPEECH 2021
Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization EMNLP 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021
LexiClean: An annotation tool for rapid multi-task lexical normalisation EMNLP 2021
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing NAACL 2021
Recognising Covid-19 from Coughing Using Ensembles of SVMs and LSTMs with Handcrafted and Deep Audio Features INTERSPEECH 2021
Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation INTERSPEECH 2021
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention ICML 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation EMNLP 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
TopGuNN: Fast NLP Training Data Augmentation using Large Corpora NAACL 2021
Data Augmentation for Meta-Learning ICML 2021
Learning to Generate Noise for Multi-Attack Robustness ICML 2021
Functional Space Analysis of Local GAN Convergence ICML 2021
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation ICCV 2021
Robust Representation Learning With Feedback for Single Image Deraining CVPR 2021
Augmentation Strategies for Learning With Noisy Labels CVPR 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample CVPR 2021
A Fourier-Based Framework for Domain Generalization CVPR 2021
Neural Camera Simulators CVPR 2021
On Feature Normalization and Data Augmentation CVPR 2021
Prototype Augmentation and Self-Supervision for Incremental Learning CVPR 2021