Fran Silavong

According to our database1, Fran Silavong authored at least 11 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
A Benchmark Generative Probabilistic Model for Weak Supervised Learning.
CoRR, 2023

A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning.
CoRR, 2023

A Baseline Generative Probabilistic Model for Weakly Supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022
API-Spector: an API-to-API Specification Recommendation Engine.
CoRR, 2022

Topical: Learning Repository Embeddings from Source Code using Attention.
CoRR, 2022

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies.
CoRR, 2022

ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation.
CoRR, 2022

Senatus - A Fast and Accurate Code-to-Code Recommendation Engine.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

CV4Code: Sourcecode Understanding via Visual Code Representations.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
DeSkew-LSH based Code-to-Code Recommendation Engine.
CoRR, 2021


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