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Shawn Hershey
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2020 – today
- 2023
- [c7]R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset Balancing Can Hurt Model Performance. ICASSP 2023: 1-5 - [i9]R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset balancing can hurt model performance. CoRR abs/2307.00079 (2023) - 2021
- [c6]Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal:
The Benefit of Temporally-Strong Labels in Audio Event Classification. ICASSP 2021: 366-370 - [c5]Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Dan Ellis, John R. Hershey:
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. ICLR 2021 - [c4]Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra:
Self-Supervised Learning from Automatically Separated Sound Scenes. WASPAA 2021: 251-255 - [i8]Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra:
Self-Supervised Learning from Automatically Separated Sound Scenes. CoRR abs/2105.02132 (2021) - [i7]Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal:
The Benefit Of Temporally-Strong Labels In Audio Event Classification. CoRR abs/2105.07031 (2021) - 2020
- [j1]Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore:
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE Signal Process. Lett. 27: 1235-1239 (2020) - [c3]Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous:
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. ICASSP 2020: 121-125 - [i6]Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra:
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. CoRR abs/2005.00878 (2020) - [i5]Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Daniel P. W. Ellis, John R. Hershey:
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. CoRR abs/2011.01143 (2020)
2010 – 2019
- 2019
- [i4]Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous:
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. CoRR abs/1911.05894 (2019) - 2018
- [c2]Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous:
Unsupervised Learning of Semantic Audio Representations. ICASSP 2018: 126-130 - 2017
- [c1]Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson:
CNN architectures for large-scale audio classification. ICASSP 2017: 131-135 - [i3]Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous:
Unsupervised Learning of Semantic Audio Representations. CoRR abs/1711.02209 (2017) - 2016
- [i2]Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson:
CNN Architectures for Large-Scale Audio Classification. CoRR abs/1609.09430 (2016) - 2012
- [i1]Shawn Hershey, Jeffrey Bernstein, Bill Bradley, Andrew Schweitzer, Noah Stein, Theophane Weber, Benjamin Vigoda:
Accelerating Inference: towards a full Language, Compiler and Hardware stack. CoRR abs/1212.2991 (2012)
Coauthor Index
aka: Dan Ellis
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