Itamar Arel - RankMe

37 papers B 1C 3Misc 1Journal 11Unranked 21

Year	Rank	Type	Title / Venue / Authors
2016	C	`conf`	Faster Gated Recurrent Units via Conditional Computation. ICMLA Andrew S. Davis, Itamar Arel
2015	J	`jnl`	A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS. IEEE J. Solid State Circuits Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman
2015	—	`conf`	Analog inference circuits for deep learning. BioCAS Jeremy Holleman, Itamar Arel, Steven R. Young, Junjie Lu
2015	C	`conf`	Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. ICMLA Tomer Lancewicki, Benjamin Goodrich, Itamar Arel
2014	—	`conf`	30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS. ISSCC Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman
2014	J	`jnl`	Hierarchical spatiotemporal feature extraction using recurrent online clustering. Pattern Recognit. Lett. Steven R. Young, Andrew S. Davis, Aaron Mishtal, Itamar Arel
2014	—	`conf`	Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks. ICLR (Workshop Poster) Andrew S. Davis, Itamar Arel
2014	—	`conf`	Neuron clustering for mitigating catastrophic forgetting in feedforward neural networks. CIDUE Benjamin Goodrich, Itamar Arel
2014	J	`jnl`	On the Impact of Approximate Computation in an Analog DeSTIN Architecture. IEEE Trans. Neural Networks Learn. Syst. Steven R. Young, Junjie Lu, Jeremy Holleman, Itamar Arel
2014	—	`conf`	Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks. MWSCAS Benjamin Goodrich, Itamar Arel
2013	J	`jnl`	Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting. IEEE Trans. Neural Networks Learn. Syst. Robert Coop, Aaron Mishtal, Itamar Arel
2013	—	`conf`	Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models ICLR (Workshop Poster) Derek C. Rose, Itamar Arel
2013	B	`conf`	Mitigation of catastrophic forgetting in recurrent neural networks using a Fixed Expansion Layer. IJCNN Robert Coop, Itamar Arel
2013	J	`jnl`	Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN CoRR Steven Robert Young, Itamar Arel
2012	J	`jnl`	A condensation-based application of Cramer's rule for solving large-scale linear systems. J. Discrete Algorithms Ken Habgood, Itamar Arel
2012	—	`conf`	Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. ICMLA (1) Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel
2012	—	`conf`	Consolidated actor critic reinforcement learning model applied to face detection. ACM Southeast Regional Conference Benjamin Goodrich, Itamar Arel
2012	—	`conf`	Intrinsically motivated exploration via intrinsic value calculation. ACM Southeast Regional Conference Benjamin W. Martin, Itamar Arel
2012	—	`conf`	Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks. ICMLA (2) Aaron Mishtal, Itamar Arel
2012	J	`jnl`	Mapping the Landscape of Human-Level Artificial General Intelligence. AI Mag. 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
2012	—	`conf`	Mitigation of catastrophic interference in neural networks using a fixed expansion layer. MWSCAS Robert Coop, Itamar Arel
2012	—	`conf`	Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection. ICMLA (2) Steven Robert Young, Itamar Arel
2012	—	`conf`	Reinforcement learning based visual attention with application to face detection. CVPR Workshops Benjamin Goodrich, Itamar Arel
2012	—	`conf`	Toward a Sequential Approach to Pipelined Image Recognition. ICMLA (2) Derek C. Rose, Itamar Arel
2011	—	`conf`	Contrasting Infant Perception Data with a Reinforcement Learning Visual Search Model. BICA Nicole Pennington, Benjamin Goodrich, Itamar Arel
2011	—	`conf`	Modeling Temporal Dynamics with Function Approximation in Deep Spatio-Temporal Inference Network. BICA Thomas P. Karnowski, Itamar Arel, Steven R. Young
2010	—	`conf`	A Fast and Stable Incremental Clustering Algorithm. ITNG Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose
2010	—	`conf`	A data security protocol for the Trusted Truck® system. CSIIRW Srinivasa Anuradha Bulusu, Benjamin Arazi, Itamar Arel, Andrew S. Davis, George Bitar
2010	J	`jnl`	A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures. Neurocomputing Ben Goertzel, Ruiting Lian, Itamar Arel, Hugo de Garis, Shuo Chen
2010	—	`conf`	Application Feedback in Guiding a Deep-Layered Perception Model. BICA Itamar Arel, Shay Berant
2010	J	`jnl`	Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]. IEEE Comput. Intell. Mag. Itamar Arel, Derek C. Rose, Thomas P. Karnowski
2010	C	`conf`	Deep Spatiotemporal Feature Learning with Application to Image Classification. ICMLA Thomas P. Karnowski, Itamar Arel, Derek C. Rose
2010	J	`jnl`	Multicast and quality of service provisioning in parallel shared memory switches. IET Commun. Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger
2010	Misc	`conf`	On the Episode Duration Distribution in Fixed-Policy Markov Decision Processes. FLAIRS Itamar Arel, Andrew S. Davis
2010	—	`conf`	Revisiting Cramer's rule for solving dense linear systems. SpringSim Ken Habgood, Itamar Arel
2009	J	`jnl`	Beyond the Turing Test. Computer Itamar Arel, Scott C. Livingston
2009	—	`conf`	DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Itamar Arel, Derek C. Rose, Robert Coop