Transfer Learning

All Work

What is prompt-tuning?
What is prompt-tuning?
IBM Research
An intro to the fast-paced world of artificial intelligence
An intro to the fast-paced world of artificial intelligence
MIT News
Learning to learn with distributional signatures for text data
Learning to learn with distributional signatures for text data
 
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
 
Building an A.I. framework for customization, and how IBM’s automated A.I. tool enables end-to-end customization
Building an A.I. framework for customization, and how IBM’s automated A.I. tool enables end-to-end customization
Digital Trends
MIT and IBM develop AI that recommends documents based on topic
MIT and IBM develop AI that recommends documents based on topic
Venture Beat
New tricks from old dogs: multi-source transfer learning
New tricks from old dogs: multi-source transfer learning
 
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference
 
Saving AI from catastrophic forgetting
Saving AI from catastrophic forgetting
Axios
Improving security as artificial intelligence moves to smartphones
Improving security as artificial intelligence moves to smartphones
MIT News
Kicking neural network design automation into high gear
Kicking neural network design automation into high gear
MIT News
CNN-Cert: A Certified Measure of Robustness for Convolutional Neural Networks
CNN-Cert: A Certified Measure of Robustness for Convolutional Neural Networks
Medium
Co-regularized Alignment for Unsupervised Domain Adaptation
Co-regularized Alignment for Unsupervised Domain Adaptation