Ilya Shenbin

17 papers A* 4A 2Misc 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
LAMeD: LLM-generated Annotations for Memory Leak Detection.
EASE
Ekaterina Shemetova, Ivan Smirnov, Anton Alekseev, Ilya Shenbin, Alexey D. Rukhovich, Sergey I. Nikolenko, Vadim Lomshakov, Irina Piontkovskaya
2025 J jnl
LAMeD: LLM-generated Annotations for Memory Leak Detection.
CoRR
Ekaterina Shemetova, Ilya Shenbin, Ivan Smirnov, Anton Alekseev, Alexey D. Rukhovich, Sergey I. Nikolenko, Vadim Lomshakov, Irina Piontkovskaya
2024 A* conf
$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials.
NeurIPS
Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey I. Nikolenko, Elena Tutubalina, Artur Kadurin
2024 A* conf
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering.
ICLR
Ilya Shenbin, Sergey I. Nikolenko
2024 J jnl
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering.
CoRR
Ilya Shenbin, Sergey I. Nikolenko
2024 A* conf
Neural Click Models for Recommender Systems.
SIGIR
Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko
2024 J jnl
Neural Click Models for Recommender Systems.
CoRR
Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko
2024 J jnl
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CoRR
Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey I. Nikolenko, Elena Tutubalina, Artur Kadurin
2023 J jnl
Machine Learning for SAT: Restricted Heuristics and New Graph Representations.
CoRR
Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Sergey I. Nikolenko
2022 A* conf
DetIE: Multilingual Open Information Extraction Inspired by Object Detection.
AAAI
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko
2022 J jnl
DetIE: Multilingual Open Information Extraction Inspired by Object Detection.
CoRR
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko
2020 A conf
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback.
WSDM
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
2019 — conf
AspeRa: Aspect-Based Rating Prediction Based on User Reviews.
WNLP@ACL
Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko, Anton Alekseev, Ilya Shenbin
2019 — conf
AspeRa: Aspect-Based Rating Prediction Model.
ECIR (2)
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev
2019 J jnl
AspeRa: Aspect-based Rating Prediction Model.
CoRR
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev
2019 J jnl
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback.
CoRR
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
2019 Misc conf
Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction.
AIST
Valentin Malykh, Anton Alekseev, Elena Tutubalina, Ilya Shenbin, Sergey I. Nikolenko