Hierarchy-based Image Embeddings for Semantic Image Retrieval

The Deep Weight Prior, ICLR 2019

An implementation of Knowledge-aware attention networks (KAN) for protein-protein extraction task

Prior Knowledge Guided Unsupervised Domain Adaptation (ECCV 2022)

Causal Discovery with Prior Knowledge

The implementation of PEMP in paper "Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes"

An implementation of Memory Networks Model (MNM) for protein-protein extraction task

Integrative approach to feature selection combining weighted LASSO and prior biological knowldge

This is repository is for AIN311 Course Project "Eye Tracking and Prior Knowledge"

The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline

SimbaML is an all-in-one framework for integrating prior knowledge of ODE models into the ML process by synthetic data augmentation. It allows for the convenient generation of realistic synthetic data by sparsifying and adding noise. Furthermore, our framework provides customizable pipelines for various ML experiments, such as transfer learning.