output
20072026
most citedCatBoost: unbiased boosting with categorical features

1.1k citations

Showing 2014Show all

6 papers · 1 filter

cs.CV2014★ 330 cited

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba +2

We propose a simple two-step approach for speeding up convolution layers within large convolutional neural networks based on tensor decomposition and discriminative fine-tuning. Gi…

stat.ML2014★ 3 cited

Distributed Coordinate Descent for L1-regularized Logistic Regression

Ilya Trofimov, Alexander Genkin

Solving logistic regression with L1-regularization in distributed settings is an important problem. This problem arises when training dataset is very large and cannot fit the memor…

hep-ex2014

New approaches for boosting to uniformity

Alex Rogozhnikov, Aleksandar Bukva, Vladimir Gligorov +2

The use of multivariate classifiers has become commonplace in particle physics. To enhance the performance, a series of classifiers is typically trained; this is a technique known…

math.PR2014★ 1 cited

The degree distribution and the number of edges between nodes of given degrees in directed scale-free graphs

E. A. Grechnikov

In this paper, we study some important statistics of the random graph in the directed preferential attachment model introduced by B. Bollobás, C. Borgs, J. Chayes and O. Riordan. F…

math.AG2014★ 3 cited

Multivariate Abel-Ruffini

Alexander Esterov, Gleb Gusev

We classify general square systems of polynomial equations solvable in radicals. Expectedly, they are almost in a 1-to-1 correspondence with tuples of lattice polytopes of mixed vo…

cs.CV2014★ 1 cited

Neural Codes for Image Retrieval

Artem Babenko, Anton Slesarev, Alexandr Chigorin +1

It has been shown that the activations invoked by an image within the top layers of a large convolutional neural network provide a high-level descriptor of the visual content of th…