35 citations · 124 across the 10 of their papers we have counts for
3 papers · 1 filter
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov +3
As the size and complexity of models and datasets grow, so does the need for communication-efficient variants of stochastic gradient descent that can be deployed to perform paralle…
ViTOR: Learning to Rank Webpages Based on Visual Features
Bram van den Akker, Ilya Markov, Maarten de Rijke
The visual appearance of a webpage carries valuable information about its quality and can be used to improve the performance of learning to rank (LTR). We introduce the Visual lear…
Online Learning to Rank with List-level Feedback for Image Filtering
Chang Li, Artem Grotov, Ilya Markov +1
Online learning to rank (OLTR) via implicit feedback has been extensively studied for document retrieval in cases where the feedback is available at the level of individual items.…