Kolling, Camila

6 publications

TMLR 2025 Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi

NeurIPS 2025 Large Language Models as Model Organisms for Human Associative Learning Camila Kolling, Vy A. Vo, Mariya Toneva

AAAI 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

WACV 2022 Efficient Counterfactual Debiasing for Visual Question Answering Camila Kolling, Martin More, Nathan Gavenski, Eduardo Pooch, Otávio Parraga, Rodrigo C. Barros

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

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