How do you handle the Cold Start Problem for a semantic knowledge graph? (TF-IDF vs. Fine-Tuned BERT)
calyxbhavi.streamlit.appยท12hยท
Discuss: DEV
๐Ÿ”€Transformers
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Image formats: Codecs and compression tools
developer.mozilla.orgยท1d
๐Ÿ”งFeature Engineering
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Comparing AI Image Generation Tools
christytuckerlearning.comยท1d
๐Ÿค–AI
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Humans and neural networks show similar patterns of transfer and interference
nature.comยท1dยท
Discuss: Hacker News
๐Ÿ”€Transformers
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"Melodic Airways Transforming Flight Routes Into Music"
dev.toยท20hยท
Discuss: DEV
๐Ÿ—๏ธData Engineering
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Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection
arxiv.orgยท1d
๐Ÿ”งFeature Engineering
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Identifying the Periodicity of Information in Natural Language
arxiv.orgยท2d
๐Ÿ”€Transformers
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Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
dev.toยท3dยท
Discuss: DEV
๐Ÿ”€Transformers
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Gaining Momentum: Uncovering Hidden Scoring Dynamics in Hockey through Deep Neural Sequencing and Causal Modeling
arxiv.orgยท1d
๐Ÿค–AI
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BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
arxiv.orgยท22h
๐Ÿ”€Transformers
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Enhancing LOD Integrity via Hyperdimensional Semantic Graph Normalization & Automated Anomaly Detection
dev.toยท2dยท
Discuss: DEV
๐Ÿ”งFeature Engineering
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Computer Science Fundamentals: From Binary Systems to Algorithms
dev.toยท1dยท
Discuss: DEV
๐Ÿ’พDatabase
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VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models
arxiv.orgยท22h
๐Ÿ”€Transformers
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Library and Culture: A Scientometric Analysis and Visualization of Research Trends
arxiv.orgยท22h
๐Ÿ”งFeature Engineering
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Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
arxiv.orgยท22h
๐Ÿค–ML
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Neurosymbolic Deep Learning Semantics
arxiv.orgยท22h
๐Ÿ”€Transformers
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MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
arxiv.orgยท22h
๐Ÿค–AI
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CytoNet: A Foundation Model for the Human Cerebral Cortex
arxiv.orgยท22h
๐Ÿ”€Transformers
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Deciphering Human Language for Machines: A Developer's Guide to NLP
dev.toยท23hยท
Discuss: DEV
๐Ÿ”€Transformers
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