Sercan Ömer Arik

42 papers A* 8A 1B 1C 1Misc 1Journal 23Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. EMNLP Jinsung Yoon, Rajarishi Sinha, Sercan Ömer Arik, Tomas Pfister
2020	—	`conf`	Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
2020	A*	`conf`	Data Valuation using Reinforcement Learning. ICML Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2020	A*	`conf`	Distance-Based Learning from Errors for Confidence Calibration. ICLR Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
2020	A*	`conf`	Distilling Effective Supervision From Severe Label Noise. CVPR Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
2020	J	`jnl`	Interpretable Sequence Learning for COVID-19 Forecasting. CoRR 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
2020	A*	`conf`	Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS 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
2020	—	`conf`	Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning. ECCV (27) Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister
2020	A*	`conf`	On Completeness-aware Concept-Based Explanations in Deep Neural Networks. NeurIPS Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Tomas Pfister, Pradeep Ravikumar
2020	J	`jnl`	ProtoAttend: Attention-Based Prototypical Learning. J. Mach. Learn. Res. Sercan Ömer Arik, Tomas Pfister
2019	J	`jnl`	Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks. CoRR Sercan Ömer Arik, Tomas Pfister
2019	J	`jnl`	Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost. CoRR Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
2019	J	`jnl`	Data Valuation using Reinforcement Learning. CoRR Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2019	J	`jnl`	Distance-Based Learning from Errors for Confidence Calibration. CoRR Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
2019	J	`jnl`	EPNAS: Efficient Progressive Neural Architecture Search. CoRR Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
2019	J	`jnl`	Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks. IEEE Signal Process. Lett. Sercan Ömer Arik, Heewoo Jun, Gregory Frederick Diamos
2019	J	`jnl`	IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
2019	J	`jnl`	Learning to Transfer Learn. CoRR Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister
2019	J	`jnl`	On Concept-Based Explanations in Deep Neural Networks. CoRR Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister
2019	J	`jnl`	RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling. CoRR Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2019	J	`jnl`	TabNet: Attentive Interpretable Tabular Learning. CoRR Sercan Ömer Arik, Tomas Pfister
2019	J	`jnl`	Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting. CoRR Bryan Lim, Sercan Ömer Arik, Nicolas Loeff, Tomas Pfister
2018	—	`conf`	Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
2018	J	`jnl`	Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks. CoRR Sercan Ömer Arik, Heewoo Jun, Gregory F. Diamos
2018	A*	`conf`	Neural Voice Cloning with a Few Samples. NeurIPS Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
2018	J	`jnl`	Neural Voice Cloning with a Few Samples. CoRR Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
2018	J	`jnl`	Resource-Efficient Neural Architect. CoRR Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos
2017	—	`conf`	Capacity limits of space-division multiplexed submarine links subject to nonlinearities and power feed constraints. OFC Omar Darwiche Domingues, Darli A. A. Mello, Reginaldo Silva, Sercan Ömer Arik, Joseph M. Kahn
2017	A	`conf`	Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. INTERSPEECH Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates
2017	J	`jnl`	Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. CoRR Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates
2017	—	`conf`	Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
2017	J	`jnl`	Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
2017	J	`jnl`	Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
2017	A*	`conf`	Deep Voice: Real-time Neural Text-to-Speech. ICML 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
2017	J	`jnl`	Deep Voice: Real-time Neural Text-to-Speech. CoRR Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi
2017	J	`jnl`	Low-complexity implementation of convex optimization-based phase retrieval. CoRR Sercan Ömer Arik, Joseph M. Kahn
2017	C	`conf`	Scaling optical networks using full-spectrum spatial switching. HPSR Alaelson C. Jatoba-Neto, Christian Esteve Rothenberg, Darli A. A. Mello, Sercan Ömer Arik, Joseph M. Kahn
2015	Misc	`conf`	Group delay statistics and management in mode-division multiplexing. ACSSC Sercan Ömer Arik, Keang-Po Ho, Joseph M. Kahn
2015	—	`conf`	MIMO DSP complexity in mode-division multiplexing. OFC Sercan Ömer Arik, Daulet Askarov, Joseph M. Kahn
2015	—	`conf`	MIMO channel statistics and signal processing in mode-division multiplexing systems. SPAWC Joseph M. Kahn, Sercan Ömer Arik, Keang-Po Ho
2014	J	`jnl`	MIMO Signal Processing for Mode-Division Multiplexing: An overview of channel models and signal processing architectures. IEEE Signal Process. Mag. Sercan Ömer Arik, Joseph M. Kahn, Keang-Po Ho
2011	B	`conf`	Alignment of uncalibrated images for multi-view classification. ICIP Sercan Ömer Arik, Elif Vural, Pascal Frossard