National Research University – Higher School of Economics

About: National Research University – Higher School of Economics is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Politics. The organization has 12873 authors who have published 23376 publications receiving 256396 citations.

Spatially Adaptive Computation Time for Residual Networks

Abstract: This paper proposes a deep learning architecture based on Residual Network that dynamically adjusts the number of executed layers for the regions of the image. This architecture is end-to-end trainable, deterministic and problem-agnostic. It is therefore applicable without any modifications to a wide range of computer vision problems such as image classification, object detection and image segmentation. We present experimental results showing that this model improves the computational efficiency of Residual Networks on the challenging ImageNet classification and COCO object detection datasets. Additionally, we evaluate the computation time maps on the visual saliency dataset cat2000 and find that they correlate surprisingly well with human eye fixation positions.

Egalitarianism and International Investment

Abstract: This study identifies how country differences on a key cultural dimension - egalitarianism - influence the direction of different types of international investment flows. A society's cultural orientation towards egalitarianism is manifested by intolerance for abuses of market and political power and a desire for protecting the weak and less powerful actors. We show egalitarianism to be based on exogenous factors including social fractionalization, dominant religion circa 1900, and war experience from the 19th century era of state formation. Controlling for a large set of competing explanations, we find a robust influence of egalitarianism distance on cross-national investment flows of bond and equity issuances, syndicated loans, and mergers and acquisitions. An informal cultural institution largely determined a century or more ago, egalitarianism exercises its effect on international investment via an associated set of consistent contemporary policy choices. But even after controlling for these associated policy choices, egalitarianism continues to exercise a direct effect on cross-border investment flows, likely through its direct influence on managers’ daily business conduct.

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Abstract: The loss functions of deep neural networks are complex and their geometric properties are not well understood. We show that the optima of these complex loss functions are in fact connected by simple curves over which training and test accuracy are nearly constant. We introduce a training procedure to discover these high-accuracy pathways between modes. Inspired by this new geometric insight, we also propose a new ensembling method entitled Fast Geometric Ensembling (FGE). Using FGE we can train high-performing ensembles in the time required to train a single model. We achieve improved performance compared to the recent state-of-the-art Snapshot Ensembles, on CIFAR-10, CIFAR-100, and ImageNet.

Refining the theory of basic individual values

Abstract: We propose a refined theory of basic individual values intended to provide greater heuristic and explanatory power than the original theory of 10 values (Schwartz, 1992). The refined theory more accurately expresses the central assumption of the original theory that research has largely ignored: Values form a circular motivational continuum. The theory defines and orders 19 values on the continuum based on their compatible and conflicting motivations, expression of self-protection versus growth, and personal versus social focus. We assess the theory with a new instrument in 15 samples from 10 countries (N = 6,059). Confirmatory factor and multidimensional scaling analyses support discrimination of the 19 values, confirming the refined theory. Multidimensional scaling analyses largely support the predicted motivational order of the values. Analyses of predictive validity demonstrate that the refined values theory provides greater and more precise insight into the value underpinnings of beliefs. Each value correlates uniquely with external variables.