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Ivana Balažević
Ivana Balažević
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Tucker: Tensor factorization for knowledge graph completion
I Balažević, C Allen, TM Hospedales
arXiv preprint arXiv:1901.09590, 2019
8992019
Multi-relational poincaré graph embeddings
I Balazevic, C Allen, T Hospedales
Advances in Neural Information Processing Systems 32, 2019
3492019
Hypernetwork Knowledge Graph Embeddings
I Balažević, C Allen, TM Hospedales
International Conference on Artificial Neural Networks, 553-565, 2019
2352019
Cutting down on prompts and parameters: Simple few-shot learning with language models
RL Logan IV, I Balažević, E Wallace, F Petroni, S Singh, S Riedel
arXiv preprint arXiv:2106.13353, 2021
1682021
Benchmark and best practices for biomedical knowledge graph embeddings
D Chang, I Balažević, C Allen, D Chawla, C Brandt, RA Taylor
Proceedings of the conference. Association for Computational Linguistics …, 2020
422020
Interpreting Knowledge Graph Relation Representation from Word Embeddings
C Allen, I Balaževic, T Hospedales
International Conference on Learning Representations, 2021
33*2021
What the Vec? Towards Probabilistically Grounded Embeddings
C Allen, I Balazevic, T Hospedales
Advances in Neural Information Processing Systems, 7465-7475, 2019
332019
Towards in-context scene understanding
I Balazevic, D Steiner, N Parthasarathy, R Arandjelović, O Henaff
Advances in Neural Information Processing Systems 36, 2023
202023
Language detection for short text messages in social media
I Balazevic, M Braun, KR Müller
arXiv preprint arXiv:1608.08515, 2016
192016
Memory consolidation enables long-context video understanding
I Balazevic, Y Shi, P Papalampidi, R Chaabouni, S Koppula, OJ Hénaff
Forty-first International Conference on Machine Learning, 2024
8*2024
A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning
C Allen, I Balažević, T Hospedales
arXiv preprint arXiv:2006.05896, 2020
62020
PaliGemma: A versatile 3B VLM for transfer
L Beyer, A Steiner, AS Pinto, A Kolesnikov, X Wang, D Salz, M Neumann, ...
arXiv preprint arXiv:2407.07726, 2024
2024
Method and apparatus for semi-supervised learning
I Balazevic, C Allen, T Hospedales
US Patent App. 17/436,927, 2023
2023
Learning representations of entities and relations
I Balažević
arXiv preprint arXiv:2201.13073, 2022
2022
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows
I Balažević, C Allen, T Hospedales
arXiv preprint arXiv:2007.02745, 2020
2020
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Articles 1–15