Mitrovic, Jovana

12 publications

ICML 2024 Improving Fine-Grained Understanding in Image-Text Pre-Training Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bošnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic

CoLLAs 2023 Continually Learning Representations at Scale Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, Razvan Pascanu

ICML 2023 Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković

ICLR 2023 SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations Matko Bošnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

ICLR 2022 CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino, Adria Puigdomenech Badia, Jacob C Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

ICMLW 2022 Pushing the Limits of Self-Supervised ResNets: Can We Outperform Supervised Learning Without Labels on ImageNet? Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

ICMLW 2021 CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino, Adria Puigdomenech Badia, Jacob C Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

ICLR 2021 Representation Learning via Invariant Causal Mechanisms Jovana Mitrovic, Brian McWilliams, Jacob C Walker, Lars Holger Buesing, Charles Blundell

NeurIPSW 2020 Less Can Be More in Contrastive Learning Jovana Mitrovic, Brian McWilliams, Melanie Rey

NeurIPS 2018 Causal Inference via Kernel Deviance Measures Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh

ICLR 2017 Deep Kernel Machines via the Kernel Reparametrization Trick Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh

ICML 2016 DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression Jovana Mitrovic, Dino Sejdinovic, Yee-Whye Teh