Cory Stephenson

25 papers A* 5A 3Misc 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment. AAAI Rishab Parthasarathy, Jasmine Collins, Cory Stephenson
2025	J	`jnl`	What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment. CoRR Rishab Parthasarathy, Jasmine Collins, Cory Stephenson
2024	A*	`conf`	Common Canvas: Open Diffusion Models Trained on Creative-Commons Images. CVPR Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov
2023	J	`jnl`	CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images. CoRR Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov
2022	J	`jnl`	Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates. CoRR Jacob P. Portes, Davis W. Blalock, Cory Stephenson, Jonathan Frankle
2021	A*	`conf`	On the geometry of generalization and memorization in deep neural networks. ICLR Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
2021	J	`jnl`	On the geometry of generalization and memorization in deep neural networks. CoRR Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
2021	J	`jnl`	When and how epochwise double descent happens. CoRR Cory Stephenson, Tyler Lee
2020	A*	`conf`	Emergence of Separable Manifolds in Deep Language Representations. ICML Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	J	`jnl`	Emergence of Separable Manifolds in Deep Language Representations. CoRR Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	J	`jnl`	Untangling in Invariant Speech Recognition. CoRR Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung
2019	J	`jnl`	A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks. IEEE Access Ting Gong, Tyler Lee, Cory Stephenson, Venkata Renduchintala, Suchismita Padhy, Anthony Ndirango, Gokce Keskin, Oguz H. Elibol
2019	J	`jnl`	Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion. CoRR Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran
2019	Misc	`conf`	Adversarially Trained Autoencoders for Parallel-data-free Voice Conversion. ICASSP Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran
2019	J	`jnl`	Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support. CoRR Gokce Keskin, Tyler Lee, Cory Stephenson, Oguz H. Elibol
2019	A	`conf`	Semi-Supervised Voice Conversion with Amortized Variational Inference. INTERSPEECH Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol
2019	J	`jnl`	Semi-supervised voice conversion with amortized variational inference. CoRR Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol
2019	A*	`conf`	Untangling in Invariant Speech Recognition. NeurIPS Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung
2018	A	`conf`	Deep Speech Denoising with Vector Space Projections. INTERSPEECH Jeffrey Hetherly, Paul Gamble, Maria Alejandra Barrios, Cory Stephenson, Karl Ni
2018	J	`jnl`	Deep Speech Denoising with Vector Space Projections. CoRR Jeff Hetherly, Paul Gamble, Maria Barrios, Cory Stephenson, Karl Ni
2018	J	`jnl`	Voices Obscured in Complex Environmental Settings (VOICES) corpus. CoRR 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
2018	A	`conf`	Voices Obscured in Complex Environmental Settings (VOiCES) Corpus. INTERSPEECH 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
2017	J	`jnl`	Monaural Audio Speaker Separation with Source Contrastive Estimation. CoRR Cory Stephenson, Patrick Callier, Abhinav Ganesh, Karl S. Ni
2017	—	`conf`	Monaural speaker separation using source-contrastive estimation. SiPS Cory Stephenson, Patrick Callier, Abhinav Ganesh, Karl Ni
2011	J	`jnl`	Fabrication and programming of large physically evolving networks. Complex. Alfred W. Hübler, Cory Stephenson, Dave Lyon, Ryan Swindeman