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ORCIDIvana Kajic
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2020 – today
- 2024
[i7]Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh:
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. CoRR abs/2404.16820 (2024)- [i6]Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang:
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR abs/2405.16759 (2024) - [i5]Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh:
Evaluating Numerical Reasoning in Text-to-Image Models. CoRR abs/2406.14774 (2024) - 2023
- [c10]Ivana Kajic, Aida Nematzadeh:
Evaluating Visual Number Discrimination in Deep Neural Networks. CogSci 2023 - [c9]Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh:
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. EACL (Findings) 2023: 1171-1196 - [i4]Ivana Kajic, Aida Nematzadeh:
Evaluating Visual Number Discrimination in Deep Neural Networks. CoRR abs/2303.07172 (2023) - 2022
- [i3]Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh:
Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. CoRR abs/2205.12191 (2022) - [i2]Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski
:
Over-communicate no more: Situated RL agents learn concise communication protocols. CoRR abs/2211.01480 (2022) - 2021
- [c8]Ivana Kajic, Terrence C. Stewart:
Biologically Constrained Large-Scale Model of the Wisconsin Card Sorting Test. CogSci 2021 - 2020
- [c7]Ivana Kajic, Eser Aygün, Doina Precup:
Learning to cooperate: Emergent communication in multi-agent navigation. CogSci 2020 - [i1]Ivana Kajic, Eser Aygün, Doina Precup:
Learning to cooperate: Emergent communication in multi-agent navigation. CoRR abs/2004.01097 (2020)
2010 – 2019
- 2019
- [j1]Ivana Kajic, Tobias Schröder, Terrence C. Stewart, Paul Thagard:
The semantic pointer theory of emotion: Integrating physiology, appraisal, and construction. Cogn. Syst. Res. 58: 35-53 (2019) - [c6]Aaron Voelker, Ivana Kajic, Chris Eliasmith:
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks. NeurIPS 2019: 15544-15553 - 2017
- [c5]Ivana Kajic, Jan Gosmann, Brent Komer, Ryan W. Orr, Terrence C. Stewart, Chris Eliasmith:
A Biologically Constrained Model of Semantic Memory Search. CogSci 2017 - 2016
- [c4]Ivana Kajic, Jan Gosmann, Terrence C. Stewart, Thomas Wennekers, Chris Eliasmith:
Towards a Cognitively Realistic Representation of Word Associations. CogSci 2016 - 2015
- [c3]Ivana Kajic, Thomas Wennekers:
Neural Network Model of Semantic Processing in the Remote Associates Test. CoCo@NIPS 2015 - 2014
- [c2]Ivana Kajic, Guido Schillaci, Sasa Bodiroza, Verena V. Hafner:
Learning hand-eye coordination for a humanoid robot using SOMs. HRI 2014: 192-193 - 2013
- [c1]Felix Putze, Dominic Heger, Markus Müller, Christian Waldkirch, Yves Chassein, Ivana Kajic, Tanja Schultz:
Profiling Arousal in Response to Complex Stimuli using Biosignals. BIOSIGNALS 2013: 347-350
Coauthor Index
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last updated on 2024-07-17 20:34 CEST by the dblp team
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