activity
20182021
most citedThe Benchmark Lottery

8 citations · 14 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20215 cited

SCENIC: A JAX Library for Computer Vision Research and Beyond

Mostafa Dehghani, Alexey Gritsenko, Anurag Arnab +2

Scenic is an open-source JAX library with a focus on Transformer-based models for computer vision research and beyond. The goal of this toolkit is to facilitate rapid experimentati…

cs.LG20218 cited

The Benchmark Lottery

Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko +5

The world of empirical machine learning (ML) strongly relies on benchmarks in order to determine the relative effectiveness of different algorithms and methods. This paper proposes…

eess.AS2020

A Spectral Energy Distance for Parallel Speech Synthesis

Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg +2

Speech synthesis is an important practical generative modeling problem that has seen great progress over the last few years, with likelihood-based autoregressive neural models now…

cs.LG2020

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani +2

In this paper we analyse and improve integer discrete flows for lossless compression. Integer discrete flows are a recently proposed class of models that learn invertible transform…

cs.LG20181 cited

BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity

Alexey A. Gritsenko, Alex D'Amour, James Atwood +2

We introduce the BriarPatch, a pixel-space intervention that obscures sensitive attributes from representations encoded in pre-trained classifiers. The patches encourage internal m…