Human nervous system has evolved for over 600 million years and can accomplish a wide variety of tasks e ortlessly - telling whether a visual scene contains animals or buildings feels trivial to us, for example. For Arti ...

Generative adversarial networks are extremely powerful tools for generative modeling of complex data distributions. Research is being actively conducted towards further improving them as well as making their training ...

A motivational problem that arises in machine learning is to estimate out-of-sample error rate of a k-nearest neighbor classi er. Without having any prior knowledge of distribution or any assumption of distribution it ...

Deep neural networks (DNNs), as well as shallow networks, are usually black boxes due to their nested non-linear structure. In other words, they provide no information about what exactly makes them arrive at their ...

With recent developments in quantum communications, much of the focus has been put on development of di erent Quantum Key Distribution(QKD) protocols that can successfully generate a symmetric key over insecure quan- tum ...

Diabetic Retinopathy is the leading cause of blindness in today's modern world. Early detection of Diabetic Retinopathy is crucial for it's prevention. To speed up the pro- cess of detection, automated systems needs to ...

Coreset is an important tool to effectively extract information from large amount of data by sampling only a few elements from it, without any substantial loss of the actual information. An -coreset is defined as a ...

Extremal graphs are graphs which sit at the extremes. In simpler words for a class of graphs which satisfy a certain property, extremal graphs are the ones which exhibit a minimum or maximum of that property. Here, we take ...

Sentiment analysis plays an important role in e-commerce, as it allows the industries to better understand the customer experience and its brand value. Aspect Based Sentiment Analysis (ABSA) is a ne-grained version of ...