Phillip E. Pope

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 6

Top Topics

Convolutional Neural Networks

Inductive Inference

Efficient Learning

Top Venues

Publications

Jonas Geiping, Micah Goldblum, Phillip E. Pope, Michael Moeller, Tom Goldstein
Stochastic Training is Not Necessary for Generalization. CoRR (2021)
Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. Allerton (2019)
Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. CoRR (2019)
Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde
Sliced Wasserstein Auto-Encoders. ICLR (Poster) (2019)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Explainability Methods for Graph Convolutional Neural Networks. CVPR (2019)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR (2018)