Cory Stephenson

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 21

Top Topics

Speech Recognition

Variational Inference

Multi Task Learning

Top Venues

Publications

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images. CoRR (2023)
Jacob Portes, Davis W. Blalock, Cory Stephenson, Jonathan Frankle
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates. CoRR (2022)
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
On the geometry of generalization and memorization in deep neural networks. CoRR (2021)
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
On the geometry of generalization and memorization in deep neural networks. ICLR (2021)
Cory Stephenson, Tyler Lee
When and how epochwise double descent happens. CoRR (2021)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. ICML (2020)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. CoRR (2020)
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
Untangling in Invariant Speech Recognition. CoRR (2020)
Gokce Keskin, Tyler Lee, Cory Stephenson, Oguz H. Elibol
Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support. CoRR (2019)
Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran
Adversarially Trained Autoencoders for Parallel-data-free Voice Conversion. ICASSP (2019)
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
Untangling in Invariant Speech Recognition. NeurIPS (2019)
Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol
Semi-supervised voice conversion with amortized variational inference. CoRR (2019)
Ting Gong, Tyler Lee, Cory Stephenson, Venkata Renduchintala, Suchismita Padhy, Anthony Ndirango, Gokce Keskin, Oguz H. Elibol
A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks. IEEE Access 7 (2019)
Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol
Semi-Supervised Voice Conversion with Amortized Variational Inference. INTERSPEECH (2019)
Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran
Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion. CoRR (2019)
Jeffrey Hetherly, Paul Gamble, Maria Alejandra Barrios, Cory Stephenson, Karl Ni
Deep Speech Denoising with Vector Space Projections. INTERSPEECH (2018)
Colleen Richey, María Auxiliadora Barrios, Zeb Armstrong, Chris Bartels, Horacio Franco, Martin Graciarena, Aaron Lawson, Mahesh Kumar Nandwana, Allen R. Stauffer, Julien van Hout, Paul Gamble, Jeff Hetherly, Cory Stephenson, Karl Ni
Voices Obscured in Complex Environmental Settings (VOICES) corpus. CoRR (2018)
Jeff Hetherly, Paul Gamble, Maria Barrios, Cory Stephenson, Karl Ni
Deep Speech Denoising with Vector Space Projections. CoRR (2018)
Colleen Richey, María Auxiliadora Barrios, Zeb Armstrong, Chris Bartels, Horacio Franco, Martin Graciarena, Aaron Lawson, Mahesh Kumar Nandwana, Allen R. Stauffer, Julien van Hout, Paul Gamble, Jeffrey Hetherly, Cory Stephenson, Karl Ni
Voices Obscured in Complex Environmental Settings (VOiCES) Corpus. INTERSPEECH (2018)
Cory Stephenson, Patrick Callier, Abhinav Ganesh, Karl Ni
Monaural speaker separation using source-contrastive estimation. SiPS (2017)
Cory Stephenson, Patrick Callier, Abhinav Ganesh, Karl S. Ni
Monaural Audio Speaker Separation with Source Contrastive Estimation. CoRR (2017)
Alfred W. Hübler, Cory Stephenson, Dave Lyon, Ryan Swindeman
Fabrication and programming of large physically evolving networks. Complex. 16 (5) (2011)