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Data Augmentation

3622 directly classified papers

Papers per year

Papers

HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection COLING 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SEMEVAL 2020
Leveraging User Paraphrasing Behavior In Dialog Systems To Automatically Collect Annotations For Long-Tail Utterances COLING 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification ACL 2020
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods COLING 2020
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection ACL 2020
The Third Multilingual Surface Realisation Shared Task (SR’20): Overview and Evaluation Results COLING 2020
Towards Reversal-Based Textual Data Augmentation for NLI Problems with Opposable Classes ACL 2020
Robust Face Detection via Learning Small Faces on Hard Images WACV 2020
Image Hashing via Linear Discriminant Learning WACV 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics ACL 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL 2020
Modeling Word Formation in English–German Neural Machine Translation ACL 2020
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation ACL 2020
Parallel Data Augmentation for Formality Style Transfer ACL 2020
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer IJCAI 2020
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout IJCAI 2020
Writing Strategies for Science Communication: Data and Computational Analysis EMNLP 2020
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks AAAI 2020
BLCU-NLP at SemEval-2020 Task 5: Data Augmentation for Efficient Counterfactual Detecting SEMEVAL 2020
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020
Understanding tables with intermediate pre-training EMNLP 2020
Sequence-Level Mixed Sample Data Augmentation EMNLP 2020
Knowledge-Enriched Visual Storytelling AAAI 2020