The ALDEN approach for text classification is a method of active learning that uses diverse interpretations of DNNs and linearly separable regions of samples to determine which unlabeled samples to query for their labels. This approach allows for more efficient and accurate text classification.
What is ALDEN?
ALDEN stands for Active Learning with DivErse iNterpretations, which is a method of active learning for text classification. This approach relies on local interpretations in DNNs to iden
Overview of EWC: Overcoming Catastrophic Forgetting in Neural Networks through Continual Learning
As our world becomes more and more connected through technology, the need for artificial intelligence has increased dramatically. One of the key components of AI is the use of neural networks, which allow machines to learn from experience and improve over time. However, when these networks are constantly being updated with new information, they can suffer from a phenomenon called catastrophic forge
Snapshot Ensembles: A Unique Method to Create Strong Learners
The use of deep neural networks has become increasingly popular in recent years owing to their ability to solve complex problems. However, training multiple deep neural networks can be very expensive in terms of time, hardware, and computational resources. This cost often poses a significant barrier to creating deep ensembles, which are groups of multiple neural networks trained on the same dataset. To overcome this obstacle, Huang a