1 code implementation • 15 Dec 2020 • Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno
Searches in these databases are now being offered as a service to law enforcement and others and carry a multitude of privacy risks for social media users.
no code implementations • 1 Dec 2020 • Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani
Recent deep-learning approaches to protein prediction have shown that pre-training on unlabeled data can yield useful representations for downstream tasks.
2 code implementations • 10 Feb 2020 • Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
Integrated Hessians overcomes several theoretical limitations of previous methods to explain interactions, and unlike such previous methods is not limited to a specific architecture or class of neural network.
3 code implementations • ICLR 2020 • Gabriel Erion, Joseph D. Janizek, Pascal Sturmfels, Scott Lundberg, Su-In Lee
Recent research has demonstrated that feature attribution methods for deep networks can themselves be incorporated into training; these attribution priors optimize for a model whose attributions have certain desirable properties -- most frequently, that particular features are important or unimportant.
1 code implementation • 11 Aug 2018 • Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sripada, Jenna Wiens
Our results suggest that lessons learned from developing models on natural images may not directly transfer to neuroimaging tasks.