2 citations · 4 across the 14 of their papers we have counts for
3 papers · 1 filter
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran +3
The field of neural generative models is dominated by the highly successful Generative Adversarial Networks (GANs) despite their challenges, such as training instability and mode c…
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism
Prashant Pandey, Prathosh AP, Manu Kohli +1
Diagnostic and intervention methodologies for skill assessment of autism typically requires a clinician repetitively initiating several stimuli and recording the child's response.…
Variational Inference with Latent Space Quantization for Adversarial Resilience
Vinay Kyatham, Mayank Mishra, Tarun Kumar Yadav +2
Despite their tremendous success in modelling high-dimensional data manifolds, deep neural networks suffer from the threat of adversarial attacks - Existence of perceptually valid…