Linara Adilova

According to our database1, Linara Adilova authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Landscaping Linear Mode Connectivity.
CoRR, 2024

The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective.
CoRR, 2024

Layer-wise linear mode connectivity.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Layerwise Linear Mode Connectivity.
CoRR, 2023

Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog.
CoRR, 2023

FAM: Relative Flatness Aware Minimization.
Proceedings of the Topological, 2023

Information Plane Analysis for Dropout Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Visual Analytics for Human-Centered Machine Learning.
IEEE Computer Graphics and Applications, 2022

2021
Novelty Detection in Sequential Data by Informed Clustering and Modeling.
CoRR, 2021

Approaches to Uncertainty Quantification in Federated Deep Learning.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Relative Flatness and Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
LDA Ensembles for Interactive Exploration and Categorization of Behaviors.
IEEE Trans. Vis. Comput. Graph., 2020

Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.
CoRR, 2020

Resource-Constrained On-Device Learning by Dynamic Averaging.
Proceedings of the ECML PKDD 2020 Workshops, 2020

2019
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks.
CoRR, 2019

Information-Theoretic Perspective of Federated Learning.
CoRR, 2019

System Misuse Detection Via Informed Behavior Clustering and Modeling.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2019

2018
Making Efficient Use of a Domain Expert's Time in Relation Extraction.
CoRR, 2018

Efficient Decentralized Deep Learning by Dynamic Model Averaging.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Introducing Noise in Decentralized Training of Neural Networks.
Proceedings of the ECML PKDD 2018 Workshops, 2018


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