Self-inspired learning for denoising live-cell super-resolution microscopy
Schermelleh, L. et al. Super-resolution microscopy demystified. Nat. Cell Biol. 21, 72–84 (2019).Article CAS PubMed Google Scholar Schermelleh, L. et...
Learning methods
DPAdapter: A New Technique Designed to Amplify the Model Performance of Differentially Private Machine Learning DPML Algorithms by Enhancing Parameter Robustness
Privacy in machine learning is critical, especially when models are trained on sensitive data. Differential privacy (DP) offers a framework...
Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning | by Yasin Yousif | Sep, 2024
An overview of the most prominent methods in imitation learning while testing on a grid environmentPhoto by Possessed Photography on...
Is Balanced Training Fair to Dogs or Is It a Cop-Out?
Source: Polina Tankilevitch/Pexels By Mary Angilly, force-free positive dog trainer and Marc Bekoff, Ph.D. “Balanced” is one of the more...
Machine learning method helps predict mental health symptoms in adolescents
In recent decades researchers have shown that an adolescent’s neurobiology and environment interact to shape emotional and behavioral development, but...
DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data
DeepASD overviewDeepASD receives \(N\) patients data and each patient is associated with \(K\) modalities. Let \(\bfX=\\bfx_i\_i=1^N\) denotes the raw multimodal...
