Aliaksandr Hubin

4 papers · 2020–2024 · 2 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) 👥 Mega-Team · Squad

Venues

ACL (2) ICML (2)

Top co-authors

Pierre Lison (2) Jeremy Barnes (2) Samia Touileb (1) Michael Widrich (1) Julyan Arbel (1) Victor Greiff (1) Tim G. J. Rudner (1) José Miguel Hernández-Lobato (1) Max Welling (1) Ghadi S. Al Hajj (1)

Research topics

Machine Learning (4) Artificial Intelligence (2) Deep Learning (2) Natural Language Processing (2) Learning Types (2) Understanding (2) Healthcare & Medicine (1) Architectures (1) Bayesian & Probabilistic (1) Clinical (1) Core AI (1) Core Methods (1) Optimization & Theory (1) Techniques (1)

Keywords

weak supervision (2) labeling function (2) named entity recognition (2) transfer learning (1) domain adaptation (1) sequence labeling (1) sentiment analysis (1) text classification (1) multiple instance learning (1) label aggregation (1) generative model (1) hidden markov model (1) foundation model (1) bayesian deep learning (1) generalizable model (1) probabilistic domain knowledge (1) labelling function (1) weak signal (1) uncertainty (1) framework (1)

Papers

Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 skweak: Weak Supervision Made Easy for NLP ACL 2021 Named Entity Recognition without Labelled Data: A Weak Supervision Approach ACL 2020