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Sensitivity

Papers

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Showing 1751–1775 of 2016 papers

TitleStatusHype
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices—0
Understanding Deep Neural Networks through Input Uncertainties—0
From Gene Expression to Drug Response: A Collaborative Filtering Approach—0
Learning Sparse Neural Networks via Sensitivity-Driven Regularization—0
Hypergraph based semi-supervised learning algorithms applied to speech recognition problem: a novel approach—0
Towards Robust Deep Neural Networks—0
Sequence-dependent sensitivity explains the accuracy of decisions when cues are separated with a gap—0
Noise Sensitivity of Local Descriptors vs ConvNets: An application to Facial Recognition—0
RLgraph: Modular Computation Graphs for Deep Reinforcement LearningCode0
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction—0
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network—0
Automatic event detection in microblogs using incremental machine learning—0
On the sensitivity analysis of energy quanto options—0
Efficient architecture for deep neural networks with heterogeneous sensitivity—0
Quantifying the amount of visual information used by neural caption generatorsCode0
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter ValuesCode0
Learning Unsupervised Word Translations Without Adversaries—0
The Generalized Sinusoidal Frequency Modulated Waveform for Active Sonar Systems—0
Step-wise Sensitivity Analysis: Identifying Partially Distributed Representations for Interpretable Deep Learning—0
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions—0
Dynamic Adaptive Computation: Tuning network states to task requirements—0
Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions—0
The distortion principle for insurance pricing: properties, identification and robustness—0
Crowdsourcing Lung Nodules Detection and Annotation—0
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions—0
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