Can fine tuning be used for domain generalization?

Jun 1, 2022 ... Award Share. Community Info Section. r/deeplearning. Join. Deep Learning. 192K Members. 56 Online. Top 1% Rank by size. More posts you may like. We investigate generalization properties of fine-tuning to understand the problem of overfitting, which often happens in practice. Jan 10, 2025 ... Specialization: Fine-tuning lets you customize a model to excel at a specific task. It's like tailoring a versatile suit to fit an individual. Dec 4, 2019 ... We then combine BERT with a one-dimensional convolutional neural network (1d-CNN) to fine-tune the pre-trained model for relation extraction. Jun 15, 2024 ... Many methods have been proven effective in improving model quality, efficiency, and resource consumption in Deep Learning. The distinction ... Oct 15, 2024 ... ... Fine-tuning deep learning architectures for early detection of oral cancer. In: 2nd International Symposium on Mathematical and ... Fine-tuning (deep learning) ... In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained neural network model ... Sep 11, 2023 ... Supervised fine-tuning (SFT) is the first training step within the alignment process for LLMs, and it is actually quite simple. First, we need ... Dec 16, 2024 ... ... exploration of strongly correlated systems using NQS, mirroring the success of fine-tuning in machine learning and natural language processing. Apr 2, 2025 ... Generative AI models or foundation models are large ML models pre-trained with the intention that they are to be fine-tuned for more specific ...