Fran Silavong

According to our database, Fran Silavong authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning.

Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift.

Myeongjun Jang, Antonios Georgiadis, Yiyun Zhao, Fran Silavong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

API-Miner: an API-to-API Specification Recommendation Engine.

Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran

Proceedings of the 1st IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2024

Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings.

Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean Moran

Proceedings of the 1st IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2024

2023

A Benchmark Generative Probabilistic Model for Weak Supervised Learning.

Georgios Papadopoulos, Fran Silavong, Sean J. Moran

CoRR, 2023

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

Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran

CoRR, 2023

A Baseline Generative Probabilistic Model for Weakly Supervised Learning.

Georgios Papadopoulos, Fran Silavong, Sean J. Moran

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.

Sae Young Moon, Fran Silavong, Sean J. Moran

CoRR, 2022

Topical: Learning Repository Embeddings from Source Code using Attention.

Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran

CoRR, 2022

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

Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran

CoRR, 2022

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

Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter

CoRR, 2022

Senatus - A Fast and Accurate Code-to-Code Recommendation Engine.

Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

CV4Code: Sourcecode Understanding via Visual Code Representations.

Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

DeSkew-LSH based Code-to-Code Recommendation Engine.

Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter

CoRR, 2021