1. Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
Alireza Mohammadshahi, Rémi Lebret, Karl Aberer
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER) at EMNLP 2019 , November 2019
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2. Graph-to-Graph Transformer for Transition-based Dependency Parsing
Alireza Mohammadshahi, James Henderson
Findings of the Association for Computational Linguistics: EMNLP 2020 , November 2020
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3. Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement
Alireza Mohammadshahi, James Henderson
Transactions of the Association for Computational Linguistics , February 2021
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4. Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling
Alireza Mohammadshahi, James Henderson
Arxiv , April 2021
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1. Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault
NeurIPS , December 2021
Paper Video (by Lê and me)
2. An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud
ICML , July 2022
Paper Video (by Lê, in person talk in Baltimore)
3. Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
ICML , July 2022
Paper Video (by John, in person talk in Baltimore)
4. On the Strategyproofness of the Geometric Median
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
AISTATS , April 2023
Paper Video (by me)
5. Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
AISTATS , April 2023
Paper
6. Robust Collaborative Learning with Linear Gradient Overhead
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan
ICML , July 2023
Paper Video (by me)
7. Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
Martijn De Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma
NeurIPS , December 2023
Paper Video (by me)
8. Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
Julien Fageot, Sadegh Farhadkhani, Lê Nguyên Hoang, Oscar Villemaud
AAAI , February 2024
Paper
9. Tackling Byzantine Clients in Federated Learning
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych
ICML , July 2024
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