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data augmentation

3,121 papers

DA

Papers

Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection COLING 2022 Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals Interspeech 2022 Unsupervised Natural Language Inference Using PHL Triplet Generation ACL 2022 Unsupervised Question Answering via Answer Diversifying COLING 2022 Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations EMNLP 2022 Using Data Augmentation and Consistency Regularization to Improve Semi-supervised Speech Recognition Interspeech 2022 Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC EMNLP 2022 Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NeurIPS 2022 Using Neural Machine Translation Methods for Sign Language Translation ACL 2022 UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation SemEval 2022 UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation SemEval 2022 Vega-MT: The JD Explore Academy Machine Translation System for WMT22 EMNLP 2022 ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints NeurIPS 2022 Virtual Augmentation Supported Contrastive Learning of Sentence Representations ACL 2022 VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization AAAI 2022 Voice Conversion Can Improve ASR in Very Low-Resource Settings Interspeech 2022 VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction MIDL 2022 WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation EMNLP 2022 Wav2Vec-Aug: Improved self-supervised training with limited data Interspeech 2022 WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses Interspeech 2022 What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective NeurIPS 2022 What Makes Better Augmentation Strategies? Augment Difficult but Not too Different ICLR 2022 When and How Mixup Improves Calibration ICML 2022 When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation ACL 2022 When Is TTS Augmentation Through a Pivot Language Useful? Interspeech 2022