Hi! I’m Vlad, and I’m a postdoc within DeepSPIN at the Instituto de Telecomunicações, Lisbon, Portugal. I research machine learning & natural language processing, focusing on sparsity and structure.
I obtained my PhD from Cornell in 2018, advised by Claire Cardie. I am a scikit-learn core dev/alum and I develop the polylearn library for factorization machines and polynomial networks in Python.
News
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EMNLP 2019 accepted paper: Adaptively Sparse Transformers, Gonçalo M Correia, Vlad Niculae, André Martins. [ arXiv ] [ code ]
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Tutorial on Latent Structure Models for NLP with Tsvetomila Mihaylova, Nikita Nangia, and André Martins. ACL→RANLP→?
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June 28 talk at RAAI 2019, University of Bucharest.
Sparse Sequence-to-Sequence models. (past talks)
Contact
You can find me on twitter as @vnfrombucharest or on github as @vene. I’m also on facebook and g+. Or just e-mail me: vlad at vene.ro. My public key is available from Keybase.