Fast and Efficient Text Classification with Class-based Embeddings. - Jonatas Wehrmann; Camila Kolling; Rodrigo C. Barros (IJCNN, 2019)

Adaptive Cross-Modal Embeddings for Image-Text Alignment. - Jonatas Wehrmann; Camila Kolling; Rodrigo C. Barros (AAAI, 2020)

Component Analysis for Visual Question Answering Architectures. - Camila Kolling; Jonatas Wehrmann; Rodrigo C. Barros (IJCNN, 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 (ISVC (2), 2020)

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)

Measuring Representational Robustness of Neural Networks Through Shared Invariances. - Vedant Nanda; Till Speicher; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Adrian Weller (ICML, 2022)

Efficient Counterfactual Debiasing for Visual Question Answering. - Camila Kolling; Martin D. Móre; Nathan Gavenski; Eduardo H. P. Pooch; Otávio Parraga; Rodrigo C. Barros (WACV, 2022)

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 (AAAI, 2023)

Pointwise Representational Similarity. - Camila Kolling; Till Speicher; Vedant Nanda; Mariya Toneva; Krishna P. Gummadi (CoRR, 2023)

Mitigating bias in facial analysis systems by incorporating label diversity. - Camila Kolling; Victor Araujo; Adriano Veloso; Soraia Raupp Musse (Comput. Graph., 2023)

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)

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 (WSDM, 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)

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, 2025)