Essays about: "Multi-Task Learning"

Showing result 6 - 10 of 32 essays containing the words Multi-Task Learning.

1. 6. AI-augmented analysis onto the impact of the containment strategies and climate change to pandemic

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Shihao Dong; [2023]
   Keywords : LSTM; Deep learning; Multi-task learning;

   Abstract : This thesis uses a multi-tasking long short-term memory (LSTM) model to investigate the correlation between containment strategies, climate change, and the number of COVID-19 transmissions and deaths. The study focuses on examining the accuracy of different factors in predicting the number of daily confirmed cases and deaths cases to further explore the correlation between different factors and cases. READ MORE

3. 7. Remembering how to walk - Using Active Dendrite Networks to Drive Physical Animations

   University essay from Umeå universitet/Institutionen för fysik

   Author : Klas Henriksson; [2023]
   Keywords : reinforcement learning; deep learning; physical animation; deep reinforcement learning; multi-task learning; multi-task reinforcement learning; machine learning; neural networks;

   Abstract : Creating embodied agents capable of performing a wide range of tasks in different types of environments has been a longstanding challenge in deep reinforcement learning. A novel network architecture introduced in 2021 called the Active Dendrite Network [A. Iyer et al. READ MORE

4. 8. Machines Do Not Have Little Gray Cells: : Analysing Catastrophic Forgetting in Cross-Domain Intrusion Detection Systems

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Ramin Valieh; Farid Esmaeili Kia; [2023]
   Keywords : Catastrophic Forgetting; Intrusion Detection Systems; Continual Learning;

   Abstract : 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

5. 9. Fine-Tuning Pre-Trained Language Models for CEFR-Level and Keyword Conditioned Text Generation : A comparison between Google’s T5 and OpenAI’s GPT-2

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Quintus Roos; [2022]
   Keywords : Transformed-based Pre-trained Language Models; Natural Language Processing; Natural Language Generation; Conditional Text Generation; Text Classification; Fine-tuning; English Language Learning.; Transformbaserade förtränade språkmodeller; naturlig språkbehandling; naturlig språkgenerering; betingad textgenerering; finjustering; instruktionsjustering; engelska inlärning.;

   Abstract : This thesis investigates the possibilities of conditionally generating English sentences based on keywords-framing content and different difficulty levels of vocabulary. It aims to contribute to the field of Conditional Text Generation (CTG), a type of Natural Language Generation (NLG), where the process of creating text is based on a set of conditions. READ MORE

6. 10. Can Wizards be Polyglots: Towards a Multilingual Knowledge-grounded Dialogue System

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Evelyn Kai Yan Liu; [2022]
   Keywords : Knowledge-grounded dialogue; Dialogue systems; Generative question answering; Multilingual question answering; Multilingual dialogue systems; Transfer learning; Multi-task learning; Sequential training; Conversational AI; Natural Language Processing NLP ; Deep learning; Machine learning;

   Abstract : The research of open-domain, knowledge-grounded dialogue systems has been advancing rapidly due to the paradigm shift introduced by large language models (LLMs). While the strides have improved the performance of the dialogue systems, the scope is mostly monolingual and English-centric. READ MORE