Data Augmentation

Leveraging Data Recasting to Enhance Tabular Reasoning EMNLP 2022 Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation Interspeech 2022 Leveraging QA Datasets to Improve Generative Data Augmentation EMNLP 2022 Lexical Generalization Improves with Larger Models and Longer Training EMNLP 2022 Lie Point Symmetry Data Augmentation for Neural PDE Solvers ICML 2022 Lightweight Contextual Logical Structure Recovery COLING 2022 Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction EMNLP 2022 LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognition SemEval 2022 Local Augmentation for Graph Neural Networks ICML 2022 Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text ACL 2022 Logit Mixing Training for More Reliable and Accurate Prediction IJCAI 2022 Logit Perturbation AAAI 2022 Low-Resource NER by Data Augmentation With Prompting IJCAI 2022 MALM: Mixing Augmented Language Modeling for Zero-Shot Machine Translation AACL 2022 Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction EMNLP 2022 MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ACL 2022 MEMO: Test Time Robustness via Adaptation and Augmentation NeurIPS 2022 Meta Approach to Data Augmentation Optimization WACV 2022 Mixup regularization strategies for spoofing countermeasure system Interspeech 2022 MoCoDA: Model-based Counterfactual Data Augmentation NeurIPS 2022 Model-Based Image Signal Processors via Learnable Dictionaries AAAI 2022 Modelling Turn-taking in Multispeaker Parties for Realistic Data Simulation Interspeech 2022 Most NLG is Low-Resource: here’s what we can do about it EMNLP 2022 MotionAug: Augmentation With Physical Correction for Human Motion Prediction CVPR 2022 MS@IW at SemEval-2022 Task 4: Patronising and Condescending Language Detection with Synthetically Generated Data SemEval 2022