julilien

julilien

Geek Repo

Company:Paderborn University

Location:Paderborn, Germany

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julilien's repositories

LabelRelaxation

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

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PLDepth

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

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CSSL

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

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C2S2L

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

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MitigatingLabelNoiseDataAmbiguation

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

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DepthEstimationDatasets

Repository providing access to commonly used depth estimation datasets

MemorizationDilation

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

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AILibs

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

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awesome-conformal-prediction

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

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Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

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cs-ranking

Context-sensitive ranking and choice in Python with Tensorflow

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data-mining-mnist-demo

Demo of a MNIST Classifier with TensorFlow

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fixmatch

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

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fsx

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

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InstanceWeightingDataImprecisiation

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

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Neural-Collapse

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

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RobustMDE

Robust Regression for Monocular Depth Estimation

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SOP

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

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TensorFlowJS_Example

TensorFlow.js Tutorial

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TSC_Doc

JAICore TSC documentation

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U2PL

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

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