Domain Adaptation and Few-Shot Learning
Topics
Description: This cluster of papers focuses on the advances in transfer learning and domain adaptation, including topics such as few-shot learning, unsupervised learning, representation learning, deep networks, me... more
Related topics (siblings) Advanced Clustering Algorithms Research, Advanced Computational Techniques and Applications, Advanced Graph Neural Networks, Advanced Software Engineering Methodologies, Advanced Technologies in Various Fields +71 more
Subfield (parent): Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Works count: 32,090
Citations count: 934,400
A Survey on Transfer Learning
2009 · Sinno Jialin Pan, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
2015 · Sergey Ioffe, Christian Szegedy · arXiv (Cornell University)
A Fast Learning Algorithm for Deep Belief Nets
2006 · Geoffrey E. Hinton, Simon Osindero, et al. · Neural Computation