mnoorfawi

5 ms·

1. 31.▲
   Research about AI in histopathological slide analysis in lung cancer diagnosis(mdpi.com)

   1 points by mnoorfawi 2y ago|0 comments
2. 32.▲
   Mixture of A Million Experts: PEER (parameter efficient expert retrieval)(arxiv.org)

   2 points by mnoorfawi 2y ago|0 comments
3. 33.▲
   by mnoorfawi 2y ago

   Thanks a lot for your comment. I appreciate it. I believe it involves two points: 1. Choosing C and R: Normally C and R are chosen from the higher norm rows and columns to be able to reconstruct W or an approximation of it from C@U@R. Howev
4. 34.▲
   CURLoRA: Stable LLM Fine-Tuning and Catastrophic Forgetting Mitigation(zenodo.org)

   62 points by mnoorfawi 2y ago|9 comments
5. 35.▲
   LSTM Autoencoder for Anomaly Detection and Rare Event Classification(minimatech.org)

   3 points by mnoorfawi 3y ago|0 comments
6. 36.▲
   Building Recommendation System with Deep Reinforcement Learning and Neo4j(minimatech.org)

   1 points by mnoorfawi 3y ago|0 comments
7. 37.▲
   A Deep Dive into Low-Rank Adaptation (LoRA)(minimatech.org)

   4 points by mnoorfawi 3y ago|0 comments
8. 38.▲
   Bayesian Neural Networks for Predicting Unseen Classes(minimatech.org)

   3 points by mnoorfawi 3y ago|1 comments
9. 39.▲
   by mnoorfawi 3y ago

   Bayesian Neural Networks (BNNs) provide a unique approach to neural network modeling by incorporating uncertainty into predictions. This tutorial explores the application of BNNs in predicting novel unseen classes to address one major limit