Essays about: "noisy label"
Found 4 essays containing the words noisy label.
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1. The effect of model calibration on noisy label detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. READ MORE
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2. Learning from noisy labelsby importance reweighting: : a deep learning approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Noisy labels could cause severe degradation to the classification performance. Especially for deep neural networks, noisy labels can be memorized and lead to poor generalization. READ MORE
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3. Deep Text Mining of Instagram Data Without Strong Supervision
University essay from KTH/Programvaruteknik och datorsystem, SCSAbstract : With the advent of social media, our online feeds increasingly consist of short, informal, and unstructured text. This data can be analyzed for the purpose of improving user recommendations and detecting trends. READ MORE
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4. Non-Convex Potential Function Boosting Versus Noise Peeling : - A Comparative Study
University essay from Uppsala universitet/Statistiska institutionenAbstract : In recent decades, boosting methods have emerged as one of the leading ensemble learning techniques. Among the most popular boosting algorithm is AdaBoost, a highly influential algorithm that has been noted for its excellent performance in many tasks. READ MORE
