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Papers matching “learning from mistakes” 14

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Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
2020 Lecture notes in computer science conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Alex Serban, Erik Poll, Joost Visser

1

citations
User Feedback of Apprentices on an Augmented Reality System for Learning from Errors in TVET
2022 Zenodo (CERN European Organization for Nuclear Research) conference-paper Computer Science Augmented Reality Applications Open access

Marvin Goppold, Martin Frenz, Verena Nitsch

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2026 IET conference proceedings. conference-paper Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
The FeDiNAR Project: Using Augmented Reality to Turn Mistakes into Learning Opportunities
2020 Springer series on cultural computing book-chapter Computer Science Augmented Reality Applications

Alexander Atanasyan, Marvin Goppold, Torben Cichon, Michael Schluse

7

citations
TELLER: Dual-Path Iterative Preference Optimization for Table Entity Linking
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Topic Modeling Open access

Yixin Peng, Kuan Li, Stefan Decker

0

citations
Towards automated self-supervised learning for truly unsupervised graph anomaly detection
2025 Data Mining and Knowledge Discovery article Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

3

citations
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint)
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

0

citations
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

0

citations
Exploring the Prevalence of SQL Misconceptions: a Study Design
2021 Koli Calling International Conference on Computing Education Research conference-paper Computer Science Teaching and Learning Programming Open access

Daphne Miedema, Efthimia Aivaloglou, George Fletcher

0

citations
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access

Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more

0

citations
Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story) —“EOSC is a bigger ME” and the Dunning Kruger effect
2021 Data Intelligence article Computer Science Research Data Management Practices Open access

Barend Mons

2

citations
MedMNIST: 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access

Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Fan Zhao, Hanspeter Pfister, +1 more

0

citations

14 results