Sercan Ömer Arik

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 36

Top Topics

Reinforcement Learning

Keyword Spotting

Top Venues

Publications

Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
Distance-Based Learning from Errors for Confidence Calibration. ICLR (2020)
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) (2020)
Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Tomas Pfister, Pradeep Ravikumar
On Completeness-aware Concept-Based Explanations in Deep Neural Networks. NeurIPS (2020)
Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
Data Valuation using Reinforcement Learning. ICML (2020)
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
Distilling Effective Supervision From Severe Label Noise. CVPR (2020)
Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning. ECCV (27) (2020)
Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
Interpretable Sequence Learning for COVID-19 Forecasting. CoRR (2020)
Sercan Ömer Arik, Tomas Pfister
ProtoAttend: Attention-Based Prototypical Learning. J. Mach. Learn. Res. 21 (2020)
Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS (2020)
Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
Data Valuation using Reinforcement Learning. CoRR (2019)
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR (2019)
Bryan Lim, Sercan Ömer Arik, Nicolas Loeff, Tomas Pfister
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting. CoRR (2019)
Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister
On Concept-Based Explanations in Deep Neural Networks. CoRR (2019)
Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
EPNAS: Efficient Progressive Neural Architecture Search. CoRR (2019)
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost. CoRR (2019)
Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling. CoRR (2019)
Sercan Ömer Arik, Heewoo Jun, Gregory Frederick Diamos
Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks. IEEE Signal Process. Lett. 26 (1) (2019)
Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister
Learning to Transfer Learn. CoRR (2019)
Sercan Ömer Arik, Tomas Pfister
TabNet: Attentive Interpretable Tabular Learning. CoRR (2019)
Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
Distance-Based Learning from Errors for Confidence Calibration. CoRR (2019)
Sercan Ömer Arik, Tomas Pfister
Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks. CoRR (2019)
Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
Neural Voice Cloning with a Few Samples. CoRR (2018)
Sercan Ömer Arik, Heewoo Jun, Gregory F. Diamos
Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks. CoRR (2018)
Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) (2018)
Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos
Resource-Efficient Neural Architect. CoRR (2018)
Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
Neural Voice Cloning with a Few Samples. NeurIPS (2018)
Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. CoRR (2017)
Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS (2017)
Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi
Deep Voice: Real-time Neural Text-to-Speech. ICML (2017)
Omar D. Domingues, Darli A. A. Mello, Reginaldo Silva, Sercan Ömer Arik, Joseph M. Kahn
Capacity limits of space-division multiplexed submarine links subject to nonlinearities and power feed constraints. OFC (2017)
Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. INTERSPEECH (2017)
Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR (2017)
Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi
Deep Voice: Real-time Neural Text-to-Speech. CoRR (2017)
Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR (2017)
Alaelson C. Jatoba-Neto, Christian Esteve Rothenberg, Darli A. A. Mello, Sercan Ömer Arik, Joseph M. Kahn
Scaling optical networks using full-spectrum spatial switching. HPSR (2017)
Sercan Ömer Arik, Joseph M. Kahn
Low-complexity implementation of convex optimization-based phase retrieval. CoRR (2017)
Sercan Ömer Arik, Daulet Askarov, Joseph M. Kahn
MIMO DSP complexity in mode-division multiplexing. OFC (2015)
Joseph M. Kahn, Sercan Ömer Arik, Keang-Po Ho
MIMO channel statistics and signal processing in mode-division multiplexing systems. SPAWC (2015)
Sercan Ömer Arik, Keang-Po Ho, Joseph M. Kahn
Group delay statistics and management in mode-division multiplexing. ACSSC (2015)
Sercan Ömer Arik, Joseph M. Kahn, Keang-Po Ho
MIMO Signal Processing for Mode-Division Multiplexing: An overview of channel models and signal processing architectures. IEEE Signal Process. Mag. 31 (2) (2014)
Sercan Ömer Arik, Elif Vural, Pascal Frossard
Alignment of uncalibrated images for multi-view classification. ICIP (2011)