Learning programs is a timely and interesting challenge. In Programming by Example (PBE), a system attempts to infer a program from input and output examples alone, by searching for a composition of some set of base functions. We show how machine learning can be used to speed up this seemingly hopeless search problem, by learning weights that relate textual features describing the provided inpu...

Policy specification for personal user data is a hard problem, as it depends on many factors that cannot be predetermined by system developers. Simultaneously, systems are increasingly relying on users to make security decisions. In this paper, we propose the approach of Policy by Example (PyBE) for specifying user-specific security policies. PyBE brings the benefits of the successful approach ...

The recent Programming By Example (PBE) techniques such as FlashFill have shown great promise for enabling end-users to perform data transformation tasks using inputoutput examples. Since examples are inherently an underspecification, there are typically a large number of hypotheses conforming to the examples, and the PBE techniques suffer from scalability issues for finding the intended progra...

Retrieving spoken content with spoken queries, or query-byexample spoken term detection (STD), is attractive because it makes possible the matching of signals directly on the acoustic level without transcribing them into text. Here, we propose an end-to-end query-by-example STD model based on an attention-based multi-hop network, whose input is a spoken query and an audio segment containing sev...

PBE Type i: Neither default nor political crisis If V ≤ χL, the costs of default are always larger than the costs of servicing the debt even for the benevolent government. Then in equilibrium, the government proposes to service the debt, which is accepted by the representative agent. Hence the debt is repaid and political crisis is avoided. Neither the benevolent government nor the self interes...

This paper introduces a new method for improving the accuracy in medium scale music similarity problems. Recently, it has been shown that the raw accuracy of query by example systems can be enhanced by considering priors about the distribution of its output or the structure of the music collection being considered. The proposed approach focuses on reducing the dependency to those priors by cons...

Retrieving audio material based on audio queries is an important and challenging issue in the research field of content-based access to popular music. As part of this research field, we present a preliminary investigation into retrieving cover versions of songs specified by users. The technique enables users to listen to songs with an identical tune, but performed by different singers, in diffe...