4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CL2021★ 4 cited
Efficient pre-training objectives for Transformers
Luca Di Liello, Matteo Gabburo, Alessandro Moschitti
The Transformer architecture deeply changed the natural language processing, outperforming all previous state-of-the-art models. However, well-known Transformer models like BERT, R…
cs.LG2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi +3
Generative Adversarial Networks (GANs) struggle to generate structured objects like molecules and game maps. The issue is that structured objects must satisfy hard requirements (e.…