Camila Kolling

18 papers A* 3A 2B 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity. Trans. Mach. Learn. Res. Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
2025	J	`jnl`	Large Language Models as Model Organisms for Human Associative Learning. CoRR Camila Kolling, Vy Ai Vo, Mariya Toneva
2025	J	`jnl`	Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models. CoRR Soumi Das, Camila Kolling, Mohammad Aflah Khan, Mahsa Amani, Bishwamittra Ghosh, Qinyuan Wu, Till Speicher, Krishna P. Gummadi
2025	A	`conf`	Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction. WSDM Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2024	J	`jnl`	Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2023	A*	`conf`	Do Invariances in Deep Neural Networks Align with Human Perception? AAAI Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2023	J	`jnl`	Mitigating bias in facial analysis systems by incorporating label diversity. Comput. Graph. Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse
2023	J	`jnl`	Pointwise Representational Similarity. CoRR Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
2022	A	`conf`	Efficient Counterfactual Debiasing for Visual Question Answering. WACV Camila Kolling, Martin D. Móre, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros
2022	A*	`conf`	Measuring Representational Robustness of Neural Networks Through Shared Invariances. ICML Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
2022	J	`jnl`	Measuring Representational Robustness of Neural Networks Through Shared Invariances. CoRR Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
2022	J	`jnl`	Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity. CoRR Camila Kolling, Victor Flavio de Andrade Araujo, Adriano Veloso, Soraia Raupp Musse
2021	J	`jnl`	Exploring Alignment of Representations with Human Perception. CoRR Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2020	A*	`conf`	Adaptive Cross-Modal Embeddings for Image-Text Alignment. AAAI Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros
2020	B	`conf`	Component Analysis for Visual Question Answering Architectures. IJCNN Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros
2020	J	`jnl`	Component Analysis for Visual Question Answering Architectures. CoRR Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros
2020	—	`conf`	How Does Computer Animation Affect Our Perception of Emotions in Video Summarization? ISVC (2) Camila Kolling, Victor Flavio de Andrade Araujo, Rodrigo C. Barros, Soraia Raupp Musse
2019	B	`conf`	Fast and Efficient Text Classification with Class-based Embeddings. IJCNN Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros