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ORCIDItamar Arel
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- affiliation: University of Tennessee, Knoxville, USA
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2010 – 2019
- 2016
[c26]Andrew S. Davis, Itamar Arel:
Faster Gated Recurrent Units via Conditional Computation. ICMLA 2016: 920-924- 2015
- [j10]Junjie Lu
, Steven R. Young, Itamar Arel, Jeremy Holleman:
A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS. IEEE J. Solid State Circuits 50(1): 270-281 (2015) - [c25]Jeremy Holleman, Itamar Arel, Steven R. Young, Junjie Lu:
Analog inference circuits for deep learning. BioCAS 2015: 1-4 - [c24]Tomer Lancewicki, Benjamin Goodrich, Itamar Arel:
Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. ICMLA 2015: 628-633 - 2014
- [j9]Steven R. Young, Andrew S. Davis, Aaron Mishtal, Itamar Arel:
Hierarchical spatiotemporal feature extraction using recurrent online clustering. Pattern Recognit. Lett. 37: 115-123 (2014) - [j8]Steven R. Young, Junjie Lu, Jeremy Holleman, Itamar Arel:
On the Impact of Approximate Computation in an Analog DeSTIN Architecture. IEEE Trans. Neural Networks Learn. Syst. 25(5): 934-946 (2014) - [c23]Benjamin Goodrich, Itamar Arel:
Neuron clustering for mitigating catastrophic forgetting in feedforward neural networks. CIDUE 2014: 62-68 - [c22]Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman:
30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS. ISSCC 2014: 504-505 - [c21]Benjamin Goodrich, Itamar Arel:
Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks. MWSCAS 2014: 997-1000 - [c20]Andrew S. Davis, Itamar Arel:
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks. ICLR (Workshop Poster) 2014 - 2013
- [j7]Robert Coop, Aaron Mishtal, Itamar Arel:
Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1623-1634 (2013) - [c19]Robert Coop, Itamar Arel:
Mitigation of catastrophic forgetting in recurrent neural networks using a Fixed Expansion Layer. IJCNN 2013: 1-7 - [c18]Derek C. Rose, Itamar Arel:
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models. ICLR (Workshop Poster) 2013 - [i1]Steven Robert Young, Itamar Arel:
Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN. CoRR abs/1301.3385 (2013) - 2012
- [j6]Sam S. Adams, Itamar Arel, Joscha Bach, Robert Coop, Rod Furlan, Ben Goertzel, J. Storrs Hall, Alexei V. Samsonovich, Matthias Scheutz, Matthew Schlesinger, Stuart C. Shapiro, John F. Sowa:
Mapping the Landscape of Human-Level Artificial General Intelligence. AI Mag. 33(1): 25-42 (2012) - [j5]Ken Habgood, Itamar Arel:
A condensation-based application of Cramer's rule for solving large-scale linear systems. J. Discrete Algorithms 10: 98-109 (2012) - [c17]Benjamin Goodrich, Itamar Arel:
Consolidated actor critic reinforcement learning model applied to face detection. ACM Southeast Regional Conference 2012: 379-380 - [c16]Benjamin W. Martin, Itamar Arel:
Intrinsically motivated exploration via intrinsic value calculation. ACM Southeast Regional Conference 2012: 387-388 - [c15]Benjamin Goodrich, Itamar Arel:
Reinforcement learning based visual attention with application to face detection. CVPR Workshops 2012: 19-24 - [c14]Derek C. Rose, Itamar Arel:
Toward a Sequential Approach to Pipelined Image Recognition. ICMLA (2) 2012: 30-35 - [c13]Steven Robert Young, Itamar Arel:
Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection. ICMLA (2) 2012: 54-55 - [c12]Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel:
Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. ICMLA (1) 2012: 415-420 - [c11]Aaron Mishtal, Itamar Arel:
Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks. ICMLA (2) 2012: 558-562 - [c10]Robert Coop, Itamar Arel:
Mitigation of catastrophic interference in neural networks using a fixed expansion layer. MWSCAS 2012: 726-729 - 2011
- [c9]Thomas P. Karnowski, Itamar Arel, Steven R. Young:
Modeling Temporal Dynamics with Function Approximation in Deep Spatio-Temporal Inference Network. BICA 2011: 174-179 - [c8]Nicole Pennington, Benjamin Goodrich, Itamar Arel:
Contrasting Infant Perception Data with a Reinforcement Learning Visual Search Model. BICA 2011: 282-287 - 2010
- [j4]Itamar Arel, Derek C. Rose, Thomas P. Karnowski:
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]. IEEE Comput. Intell. Mag. 5(4): 13-18 (2010) - [j3]Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger:
Multicast and quality of service provisioning in parallel shared memory switches. IET Commun. 4(14): 1665-1676 (2010) - [j2]Ben Goertzel, Ruiting Lian, Itamar Arel, Hugo de Garis, Shuo Chen:
A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures. Neurocomputing 74(1-3): 30-49 (2010) - [c7]Itamar Arel, Shay Berant:
Application Feedback in Guiding a Deep-Layered Perception Model. BICA 2010: 4-9 - [c6]Srinivasa Anuradha Bulusu, Benjamin Arazi, Itamar Arel, Andrew S. Davis, George Bitar:
A data security protocol for the Trusted Truck® system. CSIIRW 2010: 37 - [c5]Itamar Arel, Andrew S. Davis:
On the Episode Duration Distribution in Fixed-Policy Markov Decision Processes. FLAIRS 2010 - [c4]Thomas P. Karnowski, Itamar Arel, Derek C. Rose:
Deep Spatiotemporal Feature Learning with Application to Image Classification. ICMLA 2010: 883-888 - [c3]Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose:
A Fast and Stable Incremental Clustering Algorithm. ITNG 2010: 204-209 - [c2]Ken Habgood, Itamar Arel:
Revisiting Cramer's rule for solving dense linear systems. SpringSim 2010: 82
2000 – 2009
- 2009
- [j1]Itamar Arel, Scott C. Livingston:
Beyond the Turing Test. Computer 42(3): 90-91 (2009) - [c1]Itamar Arel, Derek C. Rose, Robert Coop:
DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2009
Coauthor Index
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