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RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
Voice Activity Detection (VAD) refers to the task of identification of r...
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Group Equivariant Deep Reinforcement Learning
In Reinforcement Learning (RL), Convolutional Neural Networks(CNNs) have...
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To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs
Regularized Auto-Encoders (AE) form a rich class of methods within the l...
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C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Estimation of information theoretic quantities such as mutual informatio...
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Towards Latent Space Optimality for Auto-Encoder Based Generative Models
The field of neural generative models is dominated by the highly success...
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Revisiting CycleGAN for semi-supervised segmentation
In this work, we study the problem of training deep networks for semanti...
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Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
We address the problem of segmenting 3D multi-modal medical images in sc...
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Arnab Kumar Mondal
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