Co-occurring keywords · papers mentioning both
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