output
20052026
most citedUnsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

6.9k citations

Showing 2022Show all

22 papers · 1 filter

cs.SE2022

Who Ate My Memory? Towards Attribution in Memory Management

Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas +1

To understand applications' memory usage details, engineers use instrumented builds and profiling tools. Both approaches are impractical for use in production environments or deplo…

cs.GR2022★ 11 cited

Deep Appearance Prefiltering

Steve Bako, Pradeep Sen, Anton Kaplanyan

Physically based rendering of complex scenes can be prohibitively costly with a potentially unbounded and uneven distribution of complexity across the rendered image. The goal of a…

stat.ME2022★ 2 cited

Empirical Bayes Selection for Value Maximization

Dominic Coey, Kenneth Hung

We study the problem of selecting the best units from a set of as , where noisy, heteroskedastic measurements of the units' true values are available…

cs.SE2022★ 3 cited

When malloc() Never Returns NULL -- Reliability as an Illusion

Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar +2

For decades, the guidance given to software engineers has been to check the memory allocation results. This validation step is necessary to avoid crashes. However, in user mode, in…

cs.LG2022

Active Learning for Non-Parametric Choice Models

Fransisca Susan, Negin Golrezaei, Ehsan Emamjomeh-Zadeh +1

We study the problem of actively learning a non-parametric choice model based on consumers' decisions. We present a negative result showing that such choice models may not be ident…

cs.SE2022

There Ain't No Such Thing as a Free Custom Memory Allocator

Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar +2

Using custom memory allocators is an efficient performance optimization technique. However, dependency on a custom allocator can introduce several maintenance-related issues. We pr…