CtrlSynth: Controllable image and text synthesis for data-efficient multimodal learning
Pre-training of robust or multimodal baseline vision models (e.g., CLIP) relies on large-scale data sets that can be noisy, potentially ...
Tag: Controllable
This AI article from Meta AI introduces Dualformer: Controllable Fast and Slow Thinking with Random Reasoning Traces, Revolutionizing AI Decision Making
A major challenge in ai research is how to develop models that can balance fast, intuitive reasoning with slower, more ...
A study on controllable learning: methods, applications and challenges in information retrieval
Controllable learning (CL) is emerging as a crucial component of reliable machine learning. It emphasizes ensuring that learning models meet ...
Controllable music production with diffusion models and orientation gradients
This paper was accepted into the NeurIPS 2023 workshop on diffusion models. We demonstrate how conditional generation from diffusion models ...
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