no code implementations • 1 Jan 2021 • Levi Boyles, Aniket Anand Deshmukh, Urun Dogan, Rajesh Koduru, Charles Denis, Eren Manavoglu
Semantic hashing methods have been explored for learning transformations into binary vector spaces.
no code implementations • 18 Mar 2020 • Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Urun Dogan
In the usual self-supervision, we learn implicit labels from the training data for a secondary task.
no code implementations • 18 Apr 2018 • John Moore, Joel Pfeiffer, Kai Wei, Rishabh Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu
In real world systems, the predictions of deployed Machine Learned models affect the training data available to build subsequent models.
no code implementations • 10 May 2013 • James Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling
We propose a stochastic algorithm for collapsed variational Bayesian inference for LDA, which is simpler and more efficient than the state of the art method.
no code implementations • NeurIPS 2012 • Levi Boyles, Max Welling
We introduce a new prior for use in Nonparametric Bayesian Hierarchical Clustering.
no code implementations • NeurIPS 2011 • Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling
Learning problems such as logistic regression are typically formulated as pure optimization problems defined on some loss function.