Selected Publications
For a full list, please access my Google Scholar profile.
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P Gummadi
Proceedings of the Transactions on Machine Learning Research (TMLR), 2025.
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction
Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
Proceedings of the International Conference on Web Search and Data Mining (WSDM), 2024.
Do invariances in deep neural networks align with human perception?
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P Dickerson, Krishna P Gummadi, Bradley C Love, Adrian Weller
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
Mitigating bias in facial analysis systems by incorporating label diversity
Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse
Computers & Graphics (C&G), 2023.
Measuring representational robustness of neural networks through shared invariances
Vedant Nanda, Till Speicher, Camila Kolling, John P Dickerson, Krishna Gummadi, Adrian Weller
International Conference on Machine Learning (ICML), 2022.
Efficient counterfactual debiasing for visual question answering
Camila Kolling, Martin More, Nathan Gavenski, Eduardo Pooch, Otávio Parraga, Rodrigo C Barros
Winter Conference on Applications of Computer Vision (WACV), 2022.
Component analysis for visual question answering architectures
Camila Kolling, Jônatas Wehrmann, Rodrigo C Barros
International Joint Conference on Neural Networks (IJCNN), 2021.
Adaptive cross-modal embeddings for image-text alignment
Jonatas Wehrmann, Camila Kolling, Rodrigo C Barros
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.
How Does Computer Animation Affect Our Perception of Emotions in Video Summarization?
Camila Kolling, Victor Araujo, Rodrigo C Barros, Soraia Raupp Musse
Advances in Visual Computing: 15th International Symposium (ISVC), 2020.
Fast and efficient text classification with class-based embeddings
Jônatas Wehrmann, Camila Kolling, Rodrigo C Barros
International Joint Conference on Neural Networks (IJCNN), 2019.