Camila Kolling

According to our database, Camila Kolling authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models.

Soumi Das, Camila Kolling, Mohammad Aflah Khan, Mahsa Amani, Bishwamittra Ghosh, Qinyuan Wu, Till Speicher, Krishna P. Gummadi

CoRR, February, 2025

Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity.

Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi

Trans. Mach. Learn. Res., 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 Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting 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

CoRR, 2024

2023

Mitigating bias in facial analysis systems by incorporating label diversity.

Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse

Comput. Graph., November, 2023

Pointwise Representational Similarity.

Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi

CoRR, 2023

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 Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Efficient Counterfactual Debiasing for Visual Question Answering.

Camila Kolling, Martin D. Móre, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Measuring Representational Robustness of Neural Networks Through Shared Invariances.

Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller

Proceedings of the International Conference on Machine Learning, 2022

2021

Exploring Alignment of Representations with Human Perception.

Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

CoRR, 2021

2020

How Does Computer Animation Affect Our Perception of Emotions in Video Summarization?

Camila Kolling, Victor Flavio de Andrade Araujo, Rodrigo C. Barros, Soraia Raupp Musse

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Component Analysis for Visual Question Answering Architectures.

Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Cross-Modal Embeddings for Image-Text Alignment.

Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fast and Efficient Text Classification with Class-based Embeddings.

Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros

Proceedings of the International Joint Conference on Neural Networks, 2019