197 citations · 432 across the 36 of their papers we have counts for
41 papers
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen +4
Federated learning (FL) has recently emerged as a compelling machine learning paradigm, prioritizing the protection of privacy for training data. The increasing demand to address i…
Stance Detection on Social Media with Fine-Tuned Large Language Models
İlker Gül, Rémi Lebret, Karl Aberer
Stance detection, a key task in natural language processing, determines an author's viewpoint based on textual analysis. This study evaluates the evolution of stance detection meth…
Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages
Yasmine Karoui, Rémi Lebret, Negar Foroutan +1
Vision-Language Pre-training (VLP) has advanced the performance of many vision-language tasks, such as image-text retrieval, visual entailment, and visual reasoning. The pre-traini…
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov +3
Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks. However, their enormous size often makes them impractical on memory-…
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting
Alexander Glavackij, Dimitri Percia David, Alain Mermoud +2
Because of the considerable heterogeneity and complexity of the technological landscape, building accurate models to forecast is a challenging endeavor. Due to their high prevalenc…
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen +4
Advances in deep neural network (DNN) architectures have enabled new prediction techniques for stock market data. Unlike other multivariate time-series data, stock markets show two…