Essays about: "knowledge transfer performance"
Showing result 1 - 5 of 122 essays containing the words knowledge transfer performance.
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1. Understanding the Robustnessof Self Supervised Representations
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This work investigates the robustness of learned representations of self-supervised learn-ing approaches, focusing on distribution shifts in computer vision. Joint embedding architecture and method-based self-supervised learning approaches have shown advancesin learning representations in a label-free manner and efficient knowledge transfer towardreducing human annotation needs. READ MORE
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2. How is knowledge transfer management used to improve efficient use of human potential? : A case study of knowledge management at a Swedish manufacturing company
University essay from KTH/ProduktionsutvecklingAbstract : Within the manufacturing industry, optimising resource utilisation is crucial for strengthening competitive advantage. However, the significance of acknowledging organisational knowledge as a valuable resource is often overlooked. READ MORE
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3. Efficient Sentiment Analysis and Topic Modeling in NLP using Knowledge Distillation and Transfer Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This abstract presents a study in which knowledge distillation techniques were applied to a Large Language Model (LLM) to create smaller, more efficient models without sacrificing performance. Three configurations of the RoBERTa model were selected as ”student” models to gain knowledge from a pre-trained ”teacher” model. READ MORE
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4. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE
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5. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE
