SOTAVerified

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 181190 of 308 papers

TitleStatusHype
Generative Dataset Distillation: Balancing Global Structure and Local Details0
Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping0
Generating Synthetic Ground Truth Distributions for Multi-step Trajectory Prediction using Probabilistic Composite Bézier Curves0
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning0
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs0
Block and Detail: Scaffolding Sketch-to-Image Generation0
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye ImagesCode0
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous ChangesCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
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