One paper has been accepted to ICLR 2023

UDT: Unsupervised Discovery of Transformations between Fine-Grained Classes in Diffusion Models

DeepGAM: An Interpretable Deep Neural Network Using Generalized Additive Model for Depression Diagnosis: Data From The Heart and Soul Study

Dog Cough Sound Classification Using Neural Networks for Diagnosing Bronchial Diseases

Accurate Baseball Player Pose Refinement Using Motion Prior Guidance

Predictors of the treatment effects of transcranial direct current stimulation on knee osteoarthritis pain: a machine-learning approach

Trajectories of chronic pain among older Veterans: Identifying pain-worsening predictors via machine learning

Machine Learning-Based Etiologic Subtyping of Ischemic Stroke Using Circulating Exosomal microRNAs

Learning Controllable ISP for Image Enhancement

Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning