Jovana Mitrovic

25 papers A* 7B 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Improving fine-grained understanding in image-text pre-training. ICML Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic
2024	J	`jnl`	Improving fine-grained understanding in image-text pre-training. CoRR Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic
2024	J	`jnl`	Synth CoRR Sahand Sharifzadeh, Christos Kaplanis, Shreya Pathak, Dharshan Kumaran, Anastasija Ilic, Jovana Mitrovic, Charles Blundell, Andrea Banino
2023	—	`conf`	Continually learning representations at scale. CoLLAs Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, Razvan Pascanu
2023	A*	`conf`	Neural Algorithmic Reasoning with Causal Regularisation. ICML Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	J	`jnl`	Neural Algorithmic Reasoning with Causal Regularisation. CoRR Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	A*	`conf`	SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. ICLR Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023	J	`jnl`	SemPPL: Predicting pseudo-labels for better contrastive representations. CoRR Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2022	A*	`conf`	CoBERL: Contrastive BERT for Reinforcement Learning. ICLR Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell
2022	J	`jnl`	Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? CoRR Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2021	B	`conf`	Can algorithms learn from babies? Exploring how infant learning can inform and inspire unsupervised learning algorithms. CogSci Jelena Sucevic, Jovana Mitrovic
2021	J	`jnl`	CoBERL: Contrastive BERT for Reinforcement Learning. CoRR Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell
2021	J	`jnl`	Encoders and Ensembles for Task-Free Continual Learning. CoRR Murray Shanahan, Christos Kaplanis, Jovana Mitrovic
2021	A*	`conf`	Representation Learning via Invariant Causal Mechanisms. ICLR Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Holger Buesing, Charles Blundell
2020	J	`jnl`	Amortized learning of neural causal representations. CoRR Nan Rosemary Ke, Jane X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende
2020	J	`jnl`	Causally Correct Partial Models for Reinforcement Learning. CoRR Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing
2020	—	`conf`	Less can be more in contrastive learning. ICBINB@NeurIPS Jovana Mitrovic, Brian McWilliams, Mélanie Rey
2020	J	`jnl`	Representation Learning via Invariant Causal Mechanisms. CoRR Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Buesing, Charles Blundell
2019	J	`jnl`	Causal Reasoning from Meta-reinforcement Learning. CoRR Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew M. Botvinick, Zeb Kurth-Nelson
2018	A*	`conf`	Causal Inference via Kernel Deviance Measures. NeurIPS Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh
2018	J	`jnl`	Causal Inference via Kernel Deviance Measures. CoRR Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh
2018	J	`jnl`	Hierarchical Adversarially Learned Inference. CoRR Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville
2017	—	`conf`	Deep Kernel Machines via the Kernel Reparametrization Trick. ICLR (Workshop) Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh
2016	A*	`conf`	DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression. ICML Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh
2016	J	`jnl`	DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression. CoRR Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh