Data Augmentation in Emotion Classification Using Generative Adversarial Networks

2 November 2017

Papers citing "Data Augmentation in Emotion Classification Using Generative Adversarial Networks"

23 / 23 papers shown

Title
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm Nanyu Luo Feng Ji DRL 41 0 0 15 Feb 2025
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 21 43 0 24 May 2023
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 29 8 0 14 Sep 2022
EnvEdit: Environment Editing for Vision-and-Language Navigation Jialu Li Hao Tan Joey Tianyi Zhou 36 80 0 29 Mar 2022
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks Arnaud Deleruyelle J. Klein Cristian Versari OOD 26 0 0 07 Feb 2022
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples Amin Banitalebi-Dehkordi Yong Zhang 28 7 0 20 Oct 2021
Generatively Augmented Neural Network Watchdog for Image Classification Networks Justin Bui Glauco A. Amigo R. Marks 36 0 0 07 Sep 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 29 26 0 22 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 38 336 0 07 Jul 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 38 62 0 30 Apr 2021
Ensembling with Deep Generative Views Lucy Chai Jun-Yan Zhu Eli Shechtman Phillip Isola Richard Y. Zhang GAN 30 70 0 29 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 41 22 0 07 Apr 2021
Data Augmentation with Variational Autoencoders and Manifold Sampling Clément Chadebec S. Allassonnière DRL 18 23 0 25 Mar 2021
Deep Synthetic Minority Over-Sampling Technique Hadi Mansourifar W. Shi 10 33 0 22 Mar 2020
Using generative adversarial networks to synthesize artificial financial datasets Dmitry Efimov Di Xu Luyang Kong A. Nefedov Archana Anandakrishnan GAN 25 29 0 06 Feb 2020
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 96 3,416 0 30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Joey Tianyi Zhou 26 39 0 27 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 25 458 0 31 Aug 2019
Multi-hop Federated Private Data Augmentation with Sample Compression Eunjeong Jeong Seungeun Oh Jihong Park Hyesung Kim M. Bennis Seong-Lyun Kim 33 17 0 15 Jul 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 39 523 0 26 Jun 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 20 130 0 26 Apr 2019
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich 29 43 0 08 Apr 2019
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 36 21 0 13 Jun 2018