Cory Stephenson

According to our database, Cory Stephenson authored at least 17 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment.

Rishab Parthasarathy, Jasmine Collins, Cory Stephenson

CoRR, September, 2025

2024

Common Canvas: Open Diffusion Models Trained on Creative-Commons Images.

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images.

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov

CoRR, 2023

2022

Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates.

Jacob P. Portes, Davis W. Blalock, Cory Stephenson, Jonathan Frankle

CoRR, 2022

2021

When and how epochwise double descent happens.

Cory Stephenson, Tyler Lee

CoRR, 2021

On the geometry of generalization and memorization in deep neural networks.

Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Emergence of Separable Manifolds in Deep Language Representations.

Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support.

Gokce Keskin, Tyler Lee, Cory Stephenson, Oguz H. Elibol

CoRR, 2019

A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks.

Ting Gong, Tyler Lee, Cory Stephenson, Venkata Renduchintala, Suchismita Padhy, Anthony Ndirango, Gokce Keskin, Oguz H. Elibol

IEEE Access, 2019

Untangling in Invariant Speech Recognition.

Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Semi-Supervised Voice Conversion with Amortized Variational Inference.

Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Adversarially Trained Autoencoders for Parallel-data-free Voice Conversion.

Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Voices Obscured in Complex Environmental Settings (VOiCES) Corpus.

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

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Deep Speech Denoising with Vector Space Projections.

Jeffrey Hetherly, Paul Gamble, Maria Alejandra Barrios, Cory Stephenson, Karl Ni

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Monaural Audio Speaker Separation with Source Contrastive Estimation.

Cory Stephenson, Patrick Callier, Abhinav Ganesh, Karl S. Ni

CoRR, 2017

Monaural speaker separation using source-contrastive estimation.

Cory Stephenson, Patrick Callier, Abhinav Ganesh, Karl Ni

Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

2011

Fabrication and programming of large physically evolving networks.

Alfred W. Hübler, Cory Stephenson, Dave Lyon, Ryan Swindeman

Complex., 2011