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Camila Kolling
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2020 – today
- 2024
- [i6]Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi:
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR abs/2404.12957 (2024) - 2023
- [j1]Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse:
Mitigating bias in facial analysis systems by incorporating label diversity. Comput. Graph. 116: 173-184 (2023) - [c7]Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller:
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023: 9277-9285 - [i5]Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi:
Pointwise Representational Similarity. CoRR abs/2305.19294 (2023) - 2022
- [c6]Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller:
Measuring Representational Robustness of Neural Networks Through Shared Invariances. ICML 2022: 16368-16382 - [c5]Camila Kolling, Martin D. Móre, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros:
Efficient Counterfactual Debiasing for Visual Question Answering. WACV 2022: 2572-2581 - [i4]Camila Kolling, Victor Flavio de Andrade Araujo, Adriano Veloso, Soraia Raupp Musse:
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity. CoRR abs/2204.06364 (2022) - [i3]Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller:
Measuring Representational Robustness of Neural Networks Through Shared Invariances. CoRR abs/2206.11939 (2022) - 2021
- [i2]Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller:
Exploring Alignment of Representations with Human Perception. CoRR abs/2111.14726 (2021) - 2020
- [c4]Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros:
Adaptive Cross-Modal Embeddings for Image-Text Alignment. AAAI 2020: 12313-12320 - [c3]Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros:
Component Analysis for Visual Question Answering Architectures. IJCNN 2020: 1-8 - [c2]Camila Kolling, Victor Flavio de Andrade Araujo, Rodrigo C. Barros, Soraia Raupp Musse:
How Does Computer Animation Affect Our Perception of Emotions in Video Summarization? ISVC (2) 2020: 374-385 - [i1]Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros:
Component Analysis for Visual Question Answering Architectures. CoRR abs/2002.05104 (2020)
2010 – 2019
- 2019
- [c1]Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros:
Fast and Efficient Text Classification with Class-based Embeddings. IJCNN 2019: 1-8
Coauthor Index
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