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Data Augmentation

3622 directly classified papers

Papers per year

Papers

ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification CVPR 2020
BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image CVPR 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation UAI 2020
A U-Net Based Discriminator for Generative Adversarial Networks CVPR 2020
MMTM: Multimodal Transfer Module for CNN Fusion CVPR 2020
Composing Good Shots by Exploiting Mutual Relations CVPR 2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning CVPR 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data CVPR 2020
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness EMNLP 2020
OCR Post Correction for Endangered Language Texts EMNLP 2020
IGT2P: From Interlinear Glossed Texts to Paradigms EMNLP 2020
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization EMNLP 2020
Visual Chirality CVPR 2020
RGCL at SemEval-2020 Task 6: Neural Approaches to DefinitionExtraction SEMEVAL 2020
XSYSIGMA at SemEval-2020 Task 7: Method for Predicting Headlines’ Humor Based on Auxiliary Sentences with EI-BERT SEMEVAL 2020
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles SEMEVAL 2020
An exploratory approach to the Parallel Corpus Filtering shared task WMT20 EMNLP 2020
DeepPaperComposer: A Simple Solution for Training Data Preparation for Parsing Research Papers EMNLP 2020
A Data-Centric Framework for Composable NLP Workflows EMNLP 2020
NwQM: A neural quality assessment framework for Wikipedia EMNLP 2020
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation EMNLP 2020
Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation EMNLP 2020
Enhancing Simple Models by Exploiting What They Already Know ICML 2020