20 citations · 22 across the 2 of their papers we have counts for
3 papers
cs.CL2021★ 2 cited
AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation
Imke van Heerden, Anil Bas
This paper proposes a generative language model called AfriKI. Our approach is based on an LSTM architecture trained on a small corpus of contemporary fiction. With the aim of prom…
cs.CL2021★ 20 cited
Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet
M. Onat Topal, Anil Bas, Imke van Heerden
Recent years have seen a proliferation of attention mechanisms and the rise of Transformers in Natural Language Generation (NLG). Previously, state-of-the-art NLG architectures suc…
cs.CV2018
Statistical transformer networks: learning shape and appearance models via self supervision
Anil Bas, William A. P. Smith
We generalise Spatial Transformer Networks (STN) by replacing the parametric transformation of a fixed, regular sampling grid with a deformable, statistical shape model which is it…