Maria Brbic

8 papers · 2019–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

ICLR (3) ICML (3) NeurIPS (2)

Top co-authors

Artyom Gadetsky (4) Yulun Jiang (2) Jure Leskovec (2) Kaidi Cao (2) Amir Zamir (1) Shin Matsushima (1) Matej Grcić (1) Shuo Wen (1) Andrei Atanov (1) Ghazal Hosseini Mighan (1)

Research topics

Machine Learning (8) Learning Types · Machine Learning (5) Artificial Intelligence (4) Core AI (4) Core Methods (4) Deep Learning (3) Application Areas (2) Learning Paradigms (2) Architectures (1) Learning Types · Deep Learning (1) Optimization & Theory (1) Techniques (1)

Keywords

foundation model (3) unsupervised learning (3) fine-grained classification (2) representation learning (2) representation space (2) spectral clustering (1) in-context learning (1) selective sampling (1) novel classes (1) concept learning (1) sparse subspace clustering (1) linear classifier (1) gradient approximation (1) uncertainty estimation (1) zero-shot transfer (1) task adaptation (1) class distribution mismatch (1) zero-shot inference (1) self-supervised model (1) open-world learning (1)

Papers

Large (Vision) Language Models are Unsupervised In-Context Learners ICLR 2025 Cross-domain Open-world Discovery ICML 2024 Fine-grained Classes and How to Find Them ICML 2024 Let Go of Your Labels with Unsupervised Transfer ICML 2024 The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning NeurIPS 2023 Open-World Semi-Supervised Learning ICLR 2022 Concept Learners for Few-Shot Learning ICLR 2021 Selective Sampling-based Scalable Sparse Subspace Clustering NeurIPS 2019