Essays about: "Catastrophic Forgetting"
Showing result 1 - 5 of 11 essays containing the words Catastrophic Forgetting.
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1. A Comparison of CNN and Transformer in Continual Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Within the realm of computer vision tasks, Convolutional Neural Networks (CNN) and Transformers represent two predominant methodologies, often subject to extensive comparative analyses elucidating their respective merits and demerits. This thesis embarks on an exploration of these two models within the framework of continual learning, with a specific focus on their propensities for resisting catastrophic forgetting. READ MORE
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2. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics
University essay from Luleå tekniska universitet/RymdteknikAbstract : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. READ MORE
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3. Machines Do Not Have Little Gray Cells: : Analysing Catastrophic Forgetting in Cross-Domain Intrusion Detection Systems
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Cross-domain intrusion detection, a critical component of cybersecurity, involves evaluating the performance of neural networks across diverse datasets or databases. The ability of intrusion detection systems to effectively adapt to new threats and data sources is paramount for safeguarding networks and sensitive information. READ MORE
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4. Fine-tuning Bot Play Styles From Demonstration
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In recent years, Reinforcement Learning (RL) has successfully been used to train agents for games. Nonetheless, in the game industry there is still a necessity for bots not only to succeed in the environments but also to act human-like while playing the game. READ MORE
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5. Integrating Telecommunications-Specific Language Models into a Trouble Report Retrieval Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the development of large telecommunications systems, it is imperative to identify, report, analyze and, thereafter, resolve both software and hardware faults. This resolution process often relies on written trouble reports (TRs), that contain information about the observed fault and, after analysis, information about why the fault occurred and the decision to resolve the fault. READ MORE
