synthetic data

3D Vision and Language Pretraining with Large-Scale Synthetic Data IJCAI 2024 ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF CVPR 2024 Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation NeurIPS 2024 Advancing Post-OCR Correction: A Comparative Study of Synthetic Data ACL 2024 A Label is Worth A Thousand Images in Dataset Distillation NeurIPS 2024 Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic ICLR 2024 Aligners: Decoupling LLMs and Alignment EMNLP 2024 Altogether: Image Captioning via Re-aligning Alt-text EMNLP 2024 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024 Annotation-Free Audio-Visual Segmentation WACV 2024 A synthetic data approach for domain generalization of NLI models ACL 2024 A Tale of Tails: Model Collapse as a Change of Scaling Laws ICML 2024 Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion CVPR 2024 AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images ICLR 2024 Automating Dataset Production Using Generative Text and Image Models COLING 2024 BabelBot at AraFinNLP2024: Fine-tuning T5 for Multi-dialect Intent Detection with Synthetic Data and Model Ensembling ACL 2024 Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming NeurIPS 2024 BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training CoNLL 2024 Better Alignment with Instruction Back-and-Forth Translation EMNLP 2024 Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models EMNLP 2024 Bias and Diversity in Synthetic-Based Face Recognition WACV 2024 BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model NeurIPS 2024 Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots ACL 2024 Boosting Cross-Corpus Speech Emotion Recognition using CycleGAN with Contrastive Learning Interspeech 2024 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data ICML 2024