Ivana Balazevic

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Euclidean Space

Graph Representation

Scene Understanding

Top Venues

Publications

Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff
Memory Consolidation Enables Long-Context Video Understanding. CoRR (2024)
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
PaliGemma: A versatile 3B VLM for transfer. CoRR (2024)
Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
Towards In-context Scene Understanding. NeurIPS (2023)
Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
Towards In-context Scene Understanding. CoRR (2023)
Ivana Balazevic
Learning Representations of Entities and Relations. CoRR (2022)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) (2022)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR (2021)
Carl Allen, Ivana Balazevic, Timothy M. Hospedales
Interpreting Knowledge Graph Relation Representation from Word Embeddings. ICLR (2021)
Carl Allen, Ivana Balazevic, Timothy M. Hospedales
A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning. CoRR (2020)
Ivana Balazevic, Carl Allen, Timothy M. Hospedales
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows. CoRR (2020)
David Chang, Ivana Balazevic, Carl Allen, Daniel Chawla, Cynthia Brandt, Richard Andrew Taylor
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings. CoRR (2020)
David Chang, Ivana Balazevic, Carl Allen, Daniel Chawla, Cynthia Brandt, Richard Andrew Taylor
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings. BioNLP (2020)
Ivana Balazevic, Carl Allen, Timothy M. Hospedales
Hypernetwork Knowledge Graph Embeddings. ICANN (Workshop) (2019)
Ivana Balazevic, Carl Allen, Timothy M. Hospedales
TuckER: Tensor Factorization for Knowledge Graph Completion. CoRR (2019)
Carl Allen, Ivana Balazevic, Timothy M. Hospedales
What the Vec? Towards Probabilistically Grounded Embeddings. NeurIPS (2019)
Ivana Balazevic, Carl Allen, Timothy M. Hospedales
TuckER: Tensor Factorization for Knowledge Graph Completion. EMNLP/IJCNLP (1) (2019)
Carl Allen, Ivana Balazevic, Timothy M. Hospedales
On Understanding Knowledge Graph Representation. CoRR (2019)
Ivana Balazevic, Carl Allen, Timothy M. Hospedales
Multi-relational Poincaré Graph Embeddings. CoRR (2019)
Ivana Balazevic, Carl Allen, Timothy M. Hospedales
Multi-relational Poincaré Graph Embeddings. NeurIPS (2019)
Ivana Balazevic, Carl Allen, Timothy M. Hospedales
Hypernetwork Knowledge Graph Embeddings. CoRR (2018)
Carl Allen, Ivana Balazevic, Timothy M. Hospedales
What the Vec? Towards Probabilistically Grounded Embeddings. CoRR (2018)
Ivana Balazevic, Mikio Ludwig Braun, Klaus-Robert Müller
Language Detection For Short Text Messages In Social Media. CoRR (2016)