Tag: causal machine learning
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Uni-DAD: Fast Few-Shot Image Generation with Diffusion Models
Uni-DAD unifies distillation and adaptation in diffusion models for rapid, high-quality few-shot image generation with improved diversity and stability.
OffSim: Advanced Offline Simulator for Inverse RL
Discover OffSim, an offline simulator enhancing model-based inverse reinforcement learning with expert data for efficient policy training.
Boost LLMs with 4 Tokens: Synergistic Test-time Adaptation
Enhance large language models with SyTTA using only 4 extra tokens for real-time domain adaptation without labeled data or retraining.
Fiaingen: Synthetic Financial Time Series Data Generator
Fiaingen generates high-quality synthetic financial time series data to enhance machine learning models and improve trading strategies efficiently.
PromptLoop: Advanced Prompt Refinement for Diffusion Models
Discover PromptLoop, a novel framework using latent feedback to refine prompts and improve diffusion model alignment with minimal overhead.