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02/01/2023
iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD)
ADHD is a prevalent disorder among the younger population. Standard eval...
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04/27/2022
Dropout Inference with Non-Uniform Weight Scaling
Dropout as regularization has been used extensively to prevent overfitti...
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12/21/2020
Design Rule Checking with a CNN Based Feature Extractor
Design rule checking (DRC) is getting increasingly complex in advanced n...
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11/24/2019
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
Reinforcement Learning (RL) has achieved state-of-the-art results in dom...
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11/19/2017
Unsupervised Domain Adaptation for Semantic Segmentation with GANs
Visual Domain Adaptation is a problem of immense importance in computer ...
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05/22/2017
Regularizing deep networks using efficient layerwise adversarial training
Adversarial training has been shown to regularize deep neural networks i...
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03/23/2017