Maria Brbic

According to our database, Maria Brbic authored at least 19 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cross-domain Open-world Discovery.

Shuo Wen, Maria Brbic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fine-grained Classes and How to Find Them.

Matej Grcic, Artyom Gadetsky, Maria Brbic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Let Go of Your Labels with Unsupervised Transfer.

Artyom Gadetsky, Yulun Jiang, Maria Brbic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN.

Yanay Rosen, Yusuf Roohani, Maria Brbic, Kyle Swanson, Ziang Li, Jure Leskovec

Dataset, December, 2023

The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning.

Artyom Gadetsky, Maria Brbic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

AMPNet: Attention as Message Passing for Graph Neural Networks.

Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk

CoRR, 2022

Open-World Semi-Supervised Learning.

Kaidi Cao, Maria Brbic, Jure Leskovec

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Model-Agnostic Graph Regularization for Few-Shot Learning.

Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec

CoRR, 2021

Concept Learners for Few-Shot Learning.

Kaidi Cao, Maria Brbic, Jure Leskovec

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ℓ₀-Motivated Low-Rank Sparse Subspace Clustering.

Maria Brbic, Ivica Kopriva

IEEE Trans. Cybern., 2020

Concept Learners for Generalizable Few-Shot Learning.

Kaidi Cao, Maria Brbic, Jure Leskovec

CoRR, 2020

2019

Representation learning from single and multiple view data ; Učenje reprezentacije za podatke iz jednog i više pogleda.

Maria Brbic

PhD thesis, 2019

Selective Sampling-based Scalable Sparse Subspace Clustering.

Shin Matsushima, Maria Brbic

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Multi-view low-rank sparse subspace clustering.

Maria Brbic, Ivica Kopriva

Pattern Recognit., 2018

2017

Phenotype Prediction with Semi-supervised Classification Trees.

Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Phenotype Inference from Text and Genomic Data.

Maria Brbic, Matija Piskorec, Vedrana Vidulin, Anita Krisko, Tomislav Smuc, Fran Supek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens.

Ivica Kopriva, Maria Brbic, Dijana Tolic, Nino Antulov-Fantulin, Xinjian Chen

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

2015

Tuning machine learning algorithms for content-based movie recommendation.

Maria Brbic, Ivana Podnar Zarko

Intell. Decis. Technol., 2015

2012

Recommendation of YouTube Videos.

Maria Brbic, Eugen Rozic, Ivana Podnar Zarko

Proceedings of the 2012 Proceedings of the 35th International Convention, 2012