
Variational Bayesian SequencetoSequence Networks for MemoryEfficient Sign Language Translation
Memoryefficient continuous Sign Language Translation is a significant c...
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Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
This work addresses adversarial robustness in deep learning by consideri...
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Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
This work attempts to address adversarial robustness of deep networks by...
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Variational ConditionalDependence Hidden Markov Models for Human Action Recognition
Hidden Markov Models (HMMs) are a powerful generative approach for model...
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A SelfAttentive Emotion Recognition Network
Modern deep learning approaches have achieved groundbreaking performance...
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Quantum StatisticsInspired Neural Attention
Sequencetosequence (encoderdecoder) models with attention constitute ...
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tExponential Memory Networks for QuestionAnswering Machines
Recent advances in deep learning have brought to the fore models that ca...
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Amortized Context Vector Inference for SequencetoSequence Networks
Neural attention (NA) is an effective mechanism for inferring complex st...
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Nonparametric Bayesian Deep Networks with Local Competition
Local competition among neighboring neurons is a common procedure taking...
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Deep learning with texponential Bayesian kitchen sinks
Bayesian learning has been recently considered as an effective means of ...
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Recurrent Latent Variable Networks for SessionBased Recommendation
In this work, we attempt to ameliorate the impact of data sparsity in th...
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