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2020 – today
- 2024
[c11]Artyom Gadetsky, Yulun Jiang, Maria Brbic:
Let Go of Your Labels with Unsupervised Transfer. ICML 2024- [c10]Matej Grcic, Artyom Gadetsky, Maria Brbic:
Fine-grained Classes and How to Find Them. ICML 2024 - [c9]Shuo Wen, Maria Brbic:
Cross-domain Open-world Discovery. ICML 2024 - [i10]Artyom Gadetsky, Yulun Jiang, Maria Brbic:
Let Go of Your Labels with Unsupervised Transfer. CoRR abs/2406.07236 (2024) - [i9]Matej Grcic, Artyom Gadetsky, Maria Brbic:
Fine-grained Classes and How to Find Them. CoRR abs/2406.11070 (2024) - [i8]Shuo Wen, Maria Brbic:
Cross-domain Open-world Discovery. CoRR abs/2406.11422 (2024) - 2023
- [c8]Artyom Gadetsky, Maria Brbic:
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning. NeurIPS 2023 - [d1]Yanay Rosen, Yusuf H. Roohani
, Maria Brbic, Kyle Swanson, Ziang Li, Jure Leskovec:
Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN. Zenodo, 2023
- [i7]Artyom Gadetsky, Maria Brbic:
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning. CoRR abs/2311.02940 (2023) - 2022
- [c7]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. ICLR 2022 - [i6]Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk:
AMPNet: Attention as Message Passing for Graph Neural Networks. CoRR abs/2210.09475 (2022) - 2021
- [c6]Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Few-Shot Learning. ICLR 2021 - [i5]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. CoRR abs/2102.03526 (2021) - [i4]Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec:
Model-Agnostic Graph Regularization for Few-Shot Learning. CoRR abs/2102.07077 (2021) - 2020
- [j3]Maria Brbic, Ivica Kopriva:
ℓ0-Motivated Low-Rank Sparse Subspace Clustering. IEEE Trans. Cybern. 50(4): 1711-1725 (2020) - [i3]Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Generalizable Few-Shot Learning. CoRR abs/2007.07375 (2020)
2010 – 2019
- 2019
- [b1]Maria Brbic:
Representation learning from single and multiple view data ; Učenje reprezentacije za podatke iz jednog i više pogleda. University of Zagreb, Croatia, 2019 - [c5]Shin Matsushima, Maria Brbic:
Selective Sampling-based Scalable Sparse Subspace Clustering. NeurIPS 2019: 12416-12425 - 2018
- [j2]Maria Brbic, Ivica Kopriva:
Multi-view low-rank sparse subspace clustering. Pattern Recognit. 73: 247-258 (2018) - [i2]Maria Brbic, Ivica Kopriva:
𝓁0-Motivated Low-Rank Sparse Subspace Clustering. CoRR abs/1812.06580 (2018) - 2017
- [c4]Ivica Kopriva, Maria Brbic, Dijana Tolic, Nino Antulov-Fantulin, Xinjian Chen:
Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. Digital Pathology 2017: 1014003 - [c3]Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski:
Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML 2017: 138-150 - [c2]Maria Brbic, Matija Piskorec, Vedrana Vidulin, Anita Krisko, Tomislav Smuc, Fran Supek:
Phenotype Inference from Text and Genomic Data. ECML/PKDD (3) 2017: 373-377 - [i1]Maria Brbic, Ivica Kopriva:
Multi-view Low-rank Sparse Subspace Clustering. CoRR abs/1708.08732 (2017) - 2015
- [j1]Maria Brbic, Ivana Podnar Zarko:
Tuning machine learning algorithms for content-based movie recommendation. Intell. Decis. Technol. 9(3): 233-242 (2015) - 2012
- [c1]Maria Brbic, Eugen Rozic, Ivana Podnar Zarko:
Recommendation of YouTube Videos. MIPRO 2012: 1775-1779
Coauthor Index
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