Soumi Das

Orcid: 0000-0002-6933-5744

According to our database1, Soumi Das authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications.
CoRR, 2024

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction.
CoRR, 2024

VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI.
CoRR, 2024

A Data-Driven Defense Against Edge-Case Model Poisoning Attacks on Federated Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning.
CoRR, 2023

Gaussian Kernels Based Network for Multiple License Plate Number Detection in Day-Night Images.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection.
CoRR, 2022

Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit.
Proceedings of the Second International Conference on AI-ML Systems, 2022

2021
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving.
CoRR, 2021

Finding High-Value Training Data Subset Through Differentiable Convex Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Multi-criteria online frame-subset selection for autonomous vehicle videos.
Pattern Recognit. Lett., 2020

2019
Map Enhanced Route Travel Time Prediction using Deep Neural Networks.
CoRR, 2019


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