173 citations · 554 across the 16 of their papers we have counts for
17 papers
TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization
D. Sorokin, A. Kostin, L. Savchenko +2
A convenient approach to optimally solving combinatorial optimization tasks is the Branch-and-Bound method. Its branching heuristic can be learned to solve a large set of similar t…
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition
Andrey V. Savchenko
In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild (ABAW) competition are presented. The usage of the pre-trained convolutional networks…
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images
Andrey V. Savchenko
In this paper, we present the results of the HSE-NN team in the 4th competition on Affective Behavior Analysis in-the-wild (ABAW). The novel multi-task EfficientNet model is traine…
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
Andrey V. Savchenko
In this paper, we consider the problem of real-time video-based facial emotion analytics, namely, facial expression recognition, prediction of valence and arousal and detection of…
Temporal Graph Network Embedding with Causal Anonymous Walks Representations
Ilya Makarov, Andrey Savchenko, Arseny Korovko +4
Many tasks in graph machine learning, such as link prediction and node classification, are typically solved by using representation learning, in which each node or edge in the netw…
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
Andrey V. Savchenko
In this paper, the multi-task learning of lightweight convolutional neural networks is studied for face identification and classification of facial attributes (age, gender, ethnici…