contemporary works proposed to further upgrade the model towards a more generalizable and robust direction through incrementally learning from the sequentially delivered domains. Unlike previous parameter isolation based approaches that usually demand massive computation resources during model updating...
With an increasing need for deep-learning models to handle ever-changing data distributions, including evolving patient population and new diagnosis assays, continual learning (CL) models that alleviate model forgetting need to be introduced in DP-based analysis. However, to our best knowledge, there...
We show that C-LoRA not only outperforms several baselines for our proposed setting of text-to-image continual customization, which we refer to as Continual Diffusion, but that we achieve a new state-of-the-art in the well-established rehearsal-free continual learning setting for image ...
Though recommendations from literature and experience are useful, case studies of published CRM trials are valuable learning tools. We present two real trials that used the CRM to identify the MTD of new cancer therapies; one trial using a one-stage Bayesian approach and another using a two-stag...
For instance, exposure to propofol induces neuroapoptosis in a developing rodent brain15 and sevoflurane causes cell death in the neonatal mouse brain leading to abnormalities within their social behaviour and induced learning difficulties16. Whole-body bioluminescence imaging of light-producing germline ...
2111. A Matter Of Life And Death (bfi Film Classics Distributed For The British Film Institutee) 2112. Law In Learning : Legal Themes In Short Stories 2113. On The Road With Charles Kuralt 2114. Tiburon (dk Eyewitness Books) 2115. Evidence: Cases And Materials (university Casebook Series)...
For such applications, the proposed method provides a light-weight option of 1) representing patterns with relatively few training samples using a novel collaborative contrastive loss function 2) update the autoencoder based deep network in an unsupervised fashion for continual learning for new incoming...