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synthetic data generation

679 papers

SDG

Papers

TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training SemEval 2021 Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021 Towards Context-Agnostic Learning Using Synthetic Data NeurIPS 2021 Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data EMNLP 2021 UltraPose: Synthesizing Dense Pose With 1 Billion Points by Human-Body Decoupling 3D Model ICCV 2021 UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification CVPR 2021 3D Part Guided Image Editing for Fine-Grained Object Understanding CVPR 2020 A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction ACL 2020 A Learning Strategy for Contrast-agnostic MRI Segmentation MIDL 2020 Animal Detection in Man-made Environments WACV 2020 A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning EMNLP 2020 Data Balancing for Boosting Performance of Low-Frequency Classes in Spoken Language Understanding Interspeech 2020 Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020 End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems EMNLP 2020 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 GAN-Based Data Generation for Speech Emotion Recognition Interspeech 2020 Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations EMNLP 2020 Generative Data Augmentation for Commonsense Reasoning EMNLP 2020 Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020 Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation COLING 2020 Learning to Generate 3D Training Data Through Hybrid Gradient CVPR 2020 Learning to Prove Theorems by Learning to Generate Theorems NeurIPS 2020 Synthetic Data Generators -- Sequential and Private NeurIPS 2020 The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020 The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task EMNLP 2020