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Neural Models for Personalized Recommendation Systems with External Information
Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products ...
Explainable and Efficient Neural Models for Natural Language to Bash Command Translation
One of the key goals of Natural Language Processing is to make computers understand natural language. Semantic Parsing has been one of the driving tasks for Natural Language Understanding. It is formally defined as the ...
nuKSM: NUMA-aware Memory De-duplication for Multi-socket Servers
An operating system's memory management has multiple goals, e.g. reducing memory access latencies, reducing memory footprint. These goals can conflict with each other when independent subsystems optimize them in silos. ...
A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions
The on-line advertising market involving displaying of Ads against search results by a search engine is growing at a fast rate. A majority of the search engine companies sell their advertising space through auctions which ...
Efficient Key Management Protocols for Secure Routing and End-to-End Key Establishment with Enhanced Security in Mobile Ad hoc Networks
There is a need to protect mobile ad hoc network (MANET) from external attackers as well as internal attackers during route discovery and end-to-end key establishment. During route discovery, the external attackers can be ...
Learning Tournament Solutions from Preference-based Multi-Armed Bandits
We consider the dueling bandits problem, a sequential decision task where the goal is to learn to pick `good' arms out of an available pool by actively querying for and observing relative preferences between selected pairs ...
An Improved Lower Bound for Multi-r-ic Depth Four Circuits as a Function of the Number of Input Variables
In this work we study the multi-r-ic formula model introduced by [KS15c] and improve upon
the lower bound for multi-r-ic depth four circuits given in [KST16b], when viewed as a function
of the number of input variables ...
Deep Learning with Minimal Supervision
Abstract
In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision ...
Expanders in Arithmetic Circuit Lower Bound : Towards a Separation Between ROABPs and Multilinear Depth 3 Circuits
Consider the problem of Polynomial Identity Testing(PIT): we are given an arithmetic circuit
computing a multivariate polynomial over some eld and we have to determine whether that
polynomial is identically zero or not. ...
Efficient Schemes for Partitioning Based Scheduling of Real-Time Tasks in Multicore Architecture
The correctness of hard real-time systems depends not only on its logical correctness but also, on its ability to meet all its deadline. Existing real-time systems use either a pure real-time scheduler or a real-time ...