sample-selection

A collection of awesome papers, articles and various resources on credit and credit risk modeling

An implementation of the state-of-the-art Deep Active Learning algorithms

[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"

Regression Graph Neural Network (regGNN) for cognitive score prediction.

Reference implementation of the Distance-Based Boolean Applicability Domain for HTS datasets

Code release for ``Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning'' published in CVPR 2022.

We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.

Sample selection method for Rayleigh wave dispersion curve inversion using neural networks - 1D S-wave velocity profile retrieval

netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.

Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.

Wave-based Extraction and Selection for Longitudinal Data (R package and guide)

Label-efficiency benchmark — margin sampling hits target accuracy with 38% fewer labels than random, while least-confidence/entropy underperform it. The honest 'which strategy, not whether'

Diversity-aware sample selection and kNN-based extrapolation of a partially measured data layer to the complete dataset.