Synthetic Data Generation

Behaviour Distillation ICLR 2024 Differentially Private Synthetic Data via Foundation Model APIs 1: Images ICLR 2024 Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking EMNLP 2024 Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space ICLR 2024 Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model EMNLP 2024 Multisize Dataset Condensation ICLR 2024 Pre-training with Synthetic Data Helps Offline Reinforcement Learning ICLR 2024 The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data UAI 2024 BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion CVPR 2023 Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction EMNLP 2023 Language Models are Realistic Tabular Data Generators ICLR 2023 QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering EMNLP 2023 SANGEA: Scalable and Attributed Network Generation ACML 2023 Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract) IJCAI 2022 CTAB-GAN: Effective Table Data Synthesizing ACML 2021 DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks NeurIPS 2021 UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification CVPR 2021 PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees ICLR 2019