Roboshot By University Of Wisconsin-madison Enhancing Zero-shot Learning Robustness: A Novel Machine Learning Approach To Bias Mitigation

Zero-shot learning is a revolutionary machine learning technique that allows models to make predictions on new tasks without explicit training. However, these models are vulnerable to biases from their training data, which can affect their performance. Current approaches to address these biases often involve fine-tuning with labeled data, which undermines the main advantage of zero-shot learning.