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

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Showing 76–100 of 308 papers

TitleStatusHype
A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph—0
A Seed-Augment-Train Framework for Universal Digit Classification—0
Cashew dataset generation using augmentation and RaLSGAN and a transfer learning based tinyML approach towards disease detection—0
Artificial Neural Network for Resource Allocation in Laser-based Optical wireless Networks—0
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer—0
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks—0
Accelerating PDE Data Generation via Differential Operator Action in Solution Space—0
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network—0
Block and Detail: Scaffolding Sketch-to-Image Generation—0
Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets—0
A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset—0
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI—0
FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation—0
Do Transformers Understand Polynomial Simplification?—0
Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems—0
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation—0
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation—0
Generating Synthetic Ground Truth Distributions for Multi-step Trajectory Prediction using Probabilistic Composite Bézier Curves—0
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments—0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting—0
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation—0
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs—0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets—0
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection—0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning—0
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