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 171180 of 308 papers

TitleStatusHype
DataFreeShield: Defending Adversarial Attacks without Training Data0
SEC-QA: A Systematic Evaluation Corpus for Financial QA0
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels0
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in ExplanationsCode0
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems0
Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets0
SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks0
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation0
Stable Diffusion Dataset Generation for Downstream Classification Tasks0
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset GenerationCode0
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