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Data Augmentation

3622 directly classified papers

Papers per year

Papers

BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine Translation ACL 2022
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation ACL 2022
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation ACL 2022
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation ACL 2022
Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise ACL 2022
Speckle and Shadows: Ultrasound-specific Physics-based Data Augmentation for Kidney Segmentation MIDL 2022
Prediction Difference Regularization against Perturbation for Neural Machine Translation ACL 2022
Detecting Various Types of Noise for Neural Machine Translation ACL 2022
On the Impact of Noises in Crowd-Sourced Data for Speech Translation ACL 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning ACL 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model ACL 2022
DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text. ACL 2022
Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL 2022
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text ACL 2022
Data Augmentation for Rare Symptoms in Vaccine Side-Effect Detection ACL 2022
Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues ACL 2022
Translation Error Detection as Rationale Extraction ACL 2022
Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation ACL 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning CVPR 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge CVPR 2022
Geometric and Textural Augmentation for Domain Gap Reduction CVPR 2022
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation ACL 2022
Boosting Robustness of Image Matting With Context Assembling and Strong Data Augmentation CVPR 2022
Feeding What You Need by Understanding What You Learned ACL 2022
Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022