Ivana Balazevic

According to our database, Ivana Balazevic authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

PaliGemma: A versatile 3B VLM for transfer.

Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai

CoRR, 2024

Memory Consolidation Enables Long-Context Video Understanding.

Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff

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

2023

Towards In-context Scene Understanding.

Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff

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

2022

Learning Representations of Entities and Relations.

Ivana Balazevic

CoRR, 2022

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models.

Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Interpreting Knowledge Graph Relation Representation from Word Embeddings.

Carl Allen, Ivana Balazevic, Timothy M. Hospedales

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

2020

Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows.

Ivana Balazevic, Carl Allen, Timothy M. Hospedales

CoRR, 2020

A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning.

Carl Allen, Ivana Balazevic, Timothy M. Hospedales

CoRR, 2020

Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings.

David Chang, Ivana Balazevic, Carl Allen, Daniel Chawla, Cynthia Brandt, Richard Andrew Taylor

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019

On Understanding Knowledge Graph Representation.

Carl Allen, Ivana Balazevic, Timothy M. Hospedales

CoRR, 2019

Multi-relational Poincaré Graph Embeddings.

Ivana Balazevic, Carl Allen, Timothy M. Hospedales

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

What the Vec? Towards Probabilistically Grounded Embeddings.

Carl Allen, Ivana Balazevic, Timothy M. Hospedales

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

Hypernetwork Knowledge Graph Embeddings.

Ivana Balazevic, Carl Allen, Timothy M. Hospedales

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

TuckER: Tensor Factorization for Knowledge Graph Completion.

Ivana Balazevic, Carl Allen, Timothy M. Hospedales

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2016

Language Detection For Short Text Messages In Social Media.

Ivana Balazevic, Mikio Ludwig Braun, Klaus-Robert Müller

CoRR, 2016