What are the connections between fine tuning and other areas of machine learning?

Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... Accelerating Distributed Deep Neural Network Training and Fine-Tuning Through Resource Interleaving ... deep learning has created a massive demand for ... Jun 6, 2022 ... Title:Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ... Abstract:We consider fine-tuning a pretrained ... LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks ... Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ... Jun 10, 2024 ... By fine-tuning only the adapter layers, the original parameters of ... Our research in machine learning breaks new ground every day. The p3 family is recommended as the fastest for deep learning training, and this is recommended for fine-tuning a model. The following chart shows the number of ... Jun 15, 2024 ... Many methods have been proven effective in improving model quality, efficiency, and resource consumption in Deep Learning. The distinction ... Nov 17, 2022 ... 2 Answers 2 ... No, you don't need to retrain the entire model. Fine-tuning refers to taking the weights trained in the general model and then ... After pre-training the network, we use the spike-based gradient descent BP algorithm to fine-tune the synaptic weights end-to-end in a manner that minimizes ... Fine-Tuning in Modern Machine Learning: Principles and Scalability. Fanghui Liu, Grigorios Chrysos, Beidi Chen, Rebekka Burkholz, Saleh Soltan, Angeliki ...