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Dataset Generation

The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.

Papers

Showing 5175 of 308 papers

TitleStatusHype
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
Global Tensor Motion PlanningCode1
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation MapCode1
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal DiscoveryCode1
ColabSfM: Collaborative Structure-from-Motion by Point Cloud RegistrationCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal ReasoningCode1
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and DesignCode1
LIQUID: A Framework for List Question Answering Dataset GenerationCode1
Improving Paraphrase Detection with the Adversarial Paraphrasing TaskCode1
Chip Placement with Diffusion ModelsCode1
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationCode1
LLMaAA: Making Large Language Models as Active AnnotatorsCode1
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM NetworkCode1
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
Learning to Answer Visual Questions from Web VideosCode1
MK-SQuIT: Synthesizing Questions using Iterative Template-fillingCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language ModelsCode1
SynPick: A Dataset for Dynamic Bin Picking Scene UnderstandingCode1
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method MappingCode0
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website DetectionCode0
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender SystemsCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLMCode0
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