50 citations · 85 across the 5 of their papers we have counts for
5 papers
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-…
Phrase-based Image Captioning
Rémi Lebret, Pedro O. Pinheiro, Ronan Collobert
Generating a novel textual description of an image is an interesting problem that connects computer vision and natural language processing. In this paper, we present a simple model…
Simple Image Description Generator via a Linear Phrase-Based Approach
Remi Lebret, Pedro O. Pinheiro, Ronan Collobert
Generating a novel textual description of an image is an interesting problem that connects computer vision and natural language processing. In this paper, we present a simple model…
N-gram-Based Low-Dimensional Representation for Document Classification
Rémi Lebret, Ronan Collobert
The bag-of-words (BOW) model is the common approach for classifying documents, where words are used as feature for training a classifier. This generally involves a huge number of f…
Rehabilitation of Count-based Models for Word Vector Representations
Rémi Lebret, Ronan Collobert
Recent works on word representations mostly rely on predictive models. Distributed word representations (aka word embeddings) are trained to optimally predict the contexts in which…