Learning from small amounts of samples with reinforcement learning (RL) is challenging in many tasks, especially, in real-world applications, such as robotics. Meta-RL (meta-RL) has been proposed as ...

Therefore, unsupervised cross-modal learning is of crucial importance in real-world applications. In this paper, we propose a novel unsupervised cross-modal retrieval method, named Self-supervised ...

code for "Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning" - bupt-ai-cz/ProML ...

Also: How to make ChatGPT provide sources and citations Supervised pre-training is a process where a model is trained on a labeled dataset, where each input is associated with a corresponding output.