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Data Augmentation

3622 directly classified papers

Papers per year

Papers

MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction EMNLP 2023
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data ACL 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness ICCV 2023
CASSI: Contextual and Semantic Structure-based Interpolation Augmentation for Low-Resource NER EMNLP 2023
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations EMNLP 2023
New Datasets and Controllable Iterative Data Augmentation Method for Code-switching ASR Error Correction EMNLP 2023
Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023
MetricAug: A Distortion Metric-Lead Augmentation Strategy for Training Noise-Robust Speech Emotion Recognizer INTERSPEECH 2023
A Lightweight Method to Generate Unanswerable Questions in English EMNLP 2023
GDA: Grammar-based Data Augmentation for Text Classification using Slot Information EMNLP 2023
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NIPS 2023
Understanding the detrimental class-level effects of data augmentation NIPS 2023
Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data EMNLP 2023
GBT: Generative Boosting Training Approach for Paraphrase Identification EMNLP 2023
HW-TSC at IWSLT2023: Break the Quality Ceiling of Offline Track via Pre-Training and Domain Adaptation ACL 2023
Prompt-Based Editing for Text Style Transfer EMNLP 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning ICCV 2023
PROTEGE: Prompt-based Diverse Question Generation from Web Articles EMNLP 2023
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study ICCV 2023
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis EMNLP 2023
KIT’s Multilingual Speech Translation System for IWSLT 2023 ACL 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification NIPS 2023
Will Large-scale Generative Models Corrupt Future Datasets? ICCV 2023