Q&A: How mathematics can reveal the depth of deep learning AI
phys.org·1d
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Unlock the Power of GANs: Train with Tiny Datasets!
dev.to·2d·
Discuss: DEV
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
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Generative deep learning for foundational video translation in ultrasound
arxiv.org·14h
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[D] Favorite Deep Learning Textbook for teaching undergrads?
reddit.com·13h·
Discuss: r/MachineLearning
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
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Emulating human-like adaptive vision for efficient and flexible machine visual perception
nature.com·19h
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
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<p>**Abstract:** This paper introduces a novel framework for automated, multi-modal analysis of gene expression data coupled with clinical metadata to provide e...
freederia.com·21m
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GSOC 2025 - Converting Demucs v4 (Hybrid Transformer) AI model to ONNX format
mixxx.org·3h
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Neural Green's Functions
arxiv.org·1d
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Tuesday 18 November 2025
informatics.ed.ac.uk·7h
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·14h
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Instead of 1000 Apps: DeepL wants one agent to operate them all
heise.de·10h
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This website makes self-learning with YouTube so much easier
aitutorly.ai·1d·
Discuss: r/InternetIsBeautiful
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Unlocking the Brain of AI: How Neural Networks Are Changing Everything
dev.to·1d·
Discuss: DEV
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·2h·
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·6h·
Discuss: r/LocalLLaMA
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Discrete Fourier Transform: Introduction (2020)
chciken.com·4h·
Discuss: Hacker News
📊data science
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Unlock Multi-Domain NLP: Adapt Pre-trained Models Without the Heavy Lifting
dev.to·10h·
Discuss: DEV
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