Lukas Klein
According to our database1,
Lukas Klein
authored at least 8 papers
between 2022 and 2024.
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2023
2024
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Bibliography
2024
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.
CoRR, 2024
CoRR, 2024
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.
CoRR, 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process.
CoRR, 2022
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022