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08/18/2023
From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space
Deep Neural Networks are prone to learning spurious correlations embedde...
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03/22/2023
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
State-of-the-art machine learning models often learn spurious correlatio...
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11/30/2022
Optimizing Explanations by Network Canonization and Hyperparameter Search
Explainable AI (XAI) is slowly becoming a key component for many AI appl...
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02/07/2022
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging
State-of-the-art machine learning models are commonly (pre-)trained on l...
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11/17/2020
Multimodal Prototypical Networks for Few-shot Learning
Although providing exceptional results for many computer vision tasks, s...
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01/04/2019
Low-Shot Learning from Imaginary 3D Model
Since the advent of deep learning, neural networks have demonstrated rem...
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11/22/2018
Self Paced Adversarial Training for Multimodal Few-shot Learning
State-of-the-art deep learning algorithms yield remarkable results in ma...
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06/13/2018