Temporal single spike coding for effective transfer learning in spiking neural networks
In this section, the basic model of the non-leaky Integrate-and-Fire (IF) neuron is first presented as a spiking model with...
Transfer
Researchers at Stanford University Propose ExPLoRA: A Highly Effective AI Technique to Improve Transfer Learning of Pre-Trained Vision Transformers (ViTs) Under Domain Shifts
Parameter-efficient fine-tuning (PEFT) methods, like low-rank adaptation (LoRA), allow large pre-trained foundation models to be adapted to downstream tasks using...
Google DeepMind Researchers Introduce Diffusion Augmented Agents: A Machine Learning Framework for Efficient Exploration and Transfer Learning
Reinforcement learning (RL) focuses on how agents can learn to make decisions by interacting with their environment. These agents aim...
