Publications associées à Learning Activation Functions in Deep (Spline) Neural Networks

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Network Simplification: the Gaussian N-Relay Diamond Network

Christina Fragouli, Ayfer Özgür Aydin

We consider the Gaussian

N

-relay diamond network, where a source wants to communicate to a destination through a layer of

N

-relay nodes. We investigate the following question: What fraction of the capacity can we maintain by using only

k

out of the $ ...

2010

Learning Activation Functions in Deep (Spline) Neural Networks

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Automated Synthesis of Adversarial Workloads for Network Functions

Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks

On The Robustness of a Neural Network

A Formally Verified NAT

Learning to Assign Orientations to Feature Points

Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation

Network Simplification: the Gaussian N-Relay Diamond Network

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Spectral Entropy Feature in Full-Combination Multi-Stream for Robust ASR

Spectral Entropy Feature in Full-Combination Multi-Stream for Robust ASR

Learning to Assign Orientations to Feature Points

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

On The Robustness of a Neural Network

Automated Synthesis of Adversarial Workloads for Network Functions

Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation

Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks

A Formally Verified NAT

Network Simplification: the Gaussian N-Relay Diamond Network