Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets.
Gabriele SpadaroRiccardo RenzulliAndrea BragagnoloJhony H. GiraldoAttilio FiandrottiMarco GrangettoEnzo TartaglionePublished in: ICCV (Workshops) (2023)
Keyphrases
- transfer learning
- neural network
- information theory
- learning tasks
- knowledge transfer
- machine learning
- labeled data
- reinforcement learning
- cross domain
- active learning
- multi task
- collaborative filtering
- domain adaptation
- text categorization
- text classification
- manifold alignment
- semi supervised learning
- learning algorithm
- multi task learning
- transfer knowledge
- machine learning algorithms
- structure learning
- transferring knowledge
- pattern recognition
- recommender systems
- target domain
- probabilistic model
- cross domain learning