Non-parametric deep learning with applications in active learning

Non-parametric deep learning with applications in active learning

<p>We challenge a common assumption underlying most supervised <i>deep learning</i>: that a model makes a prediction depending only on its parameters and the features of a <i>single input</i>. To this end, we introduce a general-purpose deep learning architecture---<...

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Bibliografiske detaljer
Hovedforfatter:	Band, N
Andre forfattere:	Kalaitzis, A
Format:	Thesis
Sprog:	English
Udgivet:	2022
Fag:	Machine learning Natural language processing (Computer science) Deep learning (Machine learning)

Lignende værker

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Spatial reasoning and planning for deep embodied agents
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A Comparative Study of Sentiment Analysis on Customer Reviews Using Machine Learning and Deep Learning
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Deep Learning Research Applications for Natural Language Processing /
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Scalable syntactic inductive biases for neural language models
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Udgivet: (2022)

Deep learning-based natural language processing in human–agent interaction: Applications, advancements and challenges
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Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity /
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Multilingual Sarcasm Detection for Enhancing Sentiment Analysis using Deep Learning Algorithms
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Understanding video through the lens of language
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Enhancing Fake News Detection with Word Embedding: A Machine Learning and Deep Learning Approach
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Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks
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Essays in macroeconomics and machine learning
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Udgivet: (2022-07-01)

An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms
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A Comparative Analysis of Active Learning for Biomedical Text Mining
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Udgivet: (2021-03-01)

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Enhancing writing analytics in science education research with machine learning and natural language processing—Formative assessment of science and non-science preservice teachers’ written reflections
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Structure and uncertainty in deep learning
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Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques
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Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning
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Analytics of Life : Making Sense of Data Analytics, Machine Learning and the Artificial Intelligence /
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DEEP LEARNING IN PRACTICE/
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Protein language representation learning to predict SARS-CoV-2 mutational landscape
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Automated sentiment analysis in social media using Harris Hawks optimisation and deep learning techniques
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An Automatic Error Detection Method for Machine Translation Results via Deep Learning
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Exploring the Impact of COVID-19 on Social Life by Deep Learning
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Analysis of public opinion on food safety in Greater China with big data and machine learning
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Topic-Aware Deep Compositional Models for Sentence Classification
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Blockchain-Based Event Detection and Trust Verification Using Natural Language Processing and Machine Learning
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Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges
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Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
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