147 citations · 528 across the 21 of their papers we have counts for
4 papers · 1 filter
Quality Estimation & Interpretability for Code Translation
Mayank Agarwal, Kartik Talamadupula, Stephanie Houde +5
Recently, the automated translation of source code from one programming language to another by using automatic approaches inspired by Neural Machine Translation (NMT) methods for n…
Online Semi-Supervised Learning with Bandit Feedback
Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal +2
We formulate a new problem at the intersectionof semi-supervised learning and contextual bandits,motivated by several applications including clini-cal trials and ad recommendations…
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21
Federated Learning (FL) is an approach to conduct machine learning without centralizing training data in a single place, for reasons of privacy, confidentiality or data volume. How…
Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents
Mayank Agarwal, Jorge J. Barroso, Tathagata Chakraborti +5
This whitepaper reports on Project CLAI (Command Line AI), which aims to bring the power of AI to the command line interface (CLI). The CLAI platform sets up the CLI as a new envir…