Leonid Zhukov

4 papers · 2022–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

IJCAI (2) ACL (1) NAACL (1)

Top co-authors

Gleb Kuzmin (2) Ilya Makarov (2) Akim Tsvigun (2) Manvel Avetisian (2) Artem Shelmanov (2) Maksim Golyadkin (2) Gleb Gusev (2) Alexander Kozhevnikov (1) Artem Vazhentsev (1) Maria Shtark (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Natural Language Processing (2) Application Areas (2) Applications (2) Computer Vision (1) Deep Learning (1) Analysis (1) Core Methods (1) Learning Types · Deep Learning (1) Understanding (1)

Keywords

unsupervised learning (1) transfer learning (1) domain adaptation (1) anomaly detection (1) self-supervised learning (1) model distillation (1) named entity recognition (1) deep clustering (1) computational efficiency (1) fault detection (1) out-of-distribution detection (1) uncertainty estimation (1) deep active learning (1) adversarial attack detection (1) transformer model (1) industrial monitoring (1) misclassification detection (1) industrial process (1) unsupervised fault detection (1) industrial process monitoring (1)

Papers

Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring IJCAI 2024 SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint) IJCAI 2024 Towards Computationally Feasible Deep Active Learning NAACL 2022 Uncertainty Estimation of Transformer Predictions for Misclassification Detection ACL 2022