julilien

scikit-weak

A library featuring utilities and algorithms for weakly supervised ML

AILibs

A Java library for infrastructural classes and basic algorithms in the area reasoning, search, and machine learning

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.

C2S2L

Supplementary material and code for "Conformal Credal Self-Supervised Learning" as published at COPA 2021.

CSSL

Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.

DepthEstimationDatasets

Repository providing access to commonly used depth estimation datasets

LabelRelaxation

Supplementary material and code for "From Label Smoothing to Label Relaxation" as published at AAAI 2021.

MemorizationDilation

Code for "Memorization-Dilation: Modeling Neural Collapse under Noise" as published at ICLR 2023.

MitigatingLabelNoiseDataAmbiguation

Supplementary material and code for "Mitigating Label Noise through Data Ambiguation" as published at AAAI 2024.

PLDepth

Code for "Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model" as published at CVPR 2021.

julilien/LabelRelaxation

Supplementary material and code for "From Label Smoothing to Label Relaxation" as published at AAAI 2021.

julilien/PLDepth

Code for "Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model" as published at CVPR 2021.

julilien/CSSL

Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.

julilien/MitigatingLabelNoiseDataAmbiguation

Supplementary material and code for "Mitigating Label Noise through Data Ambiguation" as published at AAAI 2024.

julilien/C2S2L

Supplementary material and code for "Conformal Credal Self-Supervised Learning" as published at COPA 2021.

julilien/DepthEstimationDatasets

Repository providing access to commonly used depth estimation datasets

julilien/MemorizationDilation

Code for "Memorization-Dilation: Modeling Neural Collapse under Noise" as published at ICLR 2023.

julilien/AILibs

A Java library for infrastructural classes and basic algorithms in the area reasoning, search, and machine learning

julilien/awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.

julilien/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

julilien/cs-ranking

Context-sensitive ranking and choice in Python with Tensorflow

julilien/data-mining-mnist-demo

Demo of a MNIST Classifier with TensorFlow

julilien/fixmatch

A simple method to perform semi-supervised learning with limited data.

julilien/fsx

Microsoft Flight Simulator (FSX) RESTful API and user interface to control user aircraft

julilien/InstanceWeightingDataImprecisiation

Code for the paper "Instance Weighting through Data Imprecisiation" by Julian Lienen and Eyke Hüllermeier (International Journal of Approximate Reasoning [IJAR], 2021).

julilien/julilien.github.io

julilien/Neural-Collapse

Code of paper "A Geometric Analysis of Neural Collapse with Unconstrained Features"

julilien/RobustMDE

Robust Regression for Monocular Depth Estimation

julilien/SOP

Official Implementation of Robust Training under Label Noise by Over-parameterization

julilien/TensorFlowJS_Example

TensorFlow.js Tutorial

julilien/TSC_Doc

JAICore TSC documentation

julilien/U2PL

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels