PinnedCrash Course on Robust Deep LearningHurdles to model generalization and potential solutions to the problem.May 23, 2021May 23, 2021
How to create your own datasets for machine learning ?Building your own datasets in few hours.Aug 7, 2021Aug 7, 2021
Published inTowards Data ScienceWhat will spatial analysis look like in future?How graph theory, cellular automata and deep learning are silently coming together to shape the future of spatial modelling.Jun 24, 2021Jun 24, 2021
Published inTowards Data ScienceCase Study: Training a Robust Classifier using Invariance by design ApproachMay 23, 2021May 23, 2021
Published inTowards Data ScienceRethinking Data Augmentations: A causal perspectiveData augmentation is a mainstream tool in Machine Learning, but do we really understand it ? Causal lens yields interesting insights!May 20, 20212May 20, 20212
Published inTowards Data ScienceDomain Randomization: future of robust modelingMay 12, 2021May 12, 2021
Published inTowards Data ScienceFrom Model-centric to Data-centric Artificial IntelligenceIs all the craze over new and more complex model architectures justified ?May 9, 2021May 9, 2021
Published inTowards Data ScienceInvariance, Causality and Robust DeeplearningMay 9, 20212May 9, 20212
Published inTowards Data ScienceStriking failure of Neural Networks due to conditioning on totally irrelevant properties of dataSusceptibility of neural networks to overfit on irrelevant properties and importance of randomizing them.Apr 19, 2021Apr 19, 2021
