Active learning for systematic reviews

Active learning; Query by committee; Ensemble averaging; Committee machines; Neural Network Potentials

Code pertaining to the paper: "Reducing Bias in Online Datasets"

Feasible-Infeasible Evolutionary Create & Eliminate Algorithm for Expectation Maximization.

Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.

Evaluate the ensemble model deviation in the same fashion as DeepMD, integrate with ai2kit workflow for MACE

Active learning tool for designing experiments

Advanced Active Learning platform for engineering simulations. Reduces simulation costs by through intelligent surrogate modeling and physics-informed sampling.

Heuristic-guided learning using Uncertainty-aware Self-training with Uncertainty Sampled Training (UST).

Semi-supervised variational adversarial active learning via learning to rank and agreement-based pseudo labeling.

Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.

AI4Science Hackathon Submission: Cost-Effective Active Generative Discovery of MOFs for Carbon Capture

NSE and random sampling strategies comparison for active learning

Pool-based active learning in Python

reproducibility results for IAL2023 workshop

Implementation of the L* (L Star) based Assume Guarantee Reasoning framework - dynamic DFA input as specification

Interactive dashboard for examining active learning experiments and matrix completion models

The aim of this project is to create a machine learning model based on Active Learning to identify and filter out spam in YouTube comments.

Active learning pipeline to construct balanced data sets.