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» On the Execution of Deep Models
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ISQED
2005
IEEE
106views Hardware» more  ISQED 2005»
14 years 9 days ago
Deep Submicron CMOS Integrated Circuit Reliability Simulation with SPICE
The purpose of the paper is to introduce a new failure rate-based methodology for reliability simulation of deep submicron CMOS integrated circuits. Firstly, two of the state-of-t...
Xiaojun Li, Bing Huang, J. Qin, X. Zhang, Michael ...
INTERSPEECH
2010
13 years 1 months ago
Binary coding of speech spectrograms using a deep auto-encoder
This paper reports our recent exploration of the layer-by-layer learning strategy for training a multi-layer generative model of patches of speech spectrograms. The top layer of t...
Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, ...
ICASSP
2011
IEEE
12 years 10 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
ICML
2010
IEEE
13 years 7 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
ICML
2007
IEEE
14 years 7 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...