The most cited deep learning papers
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Updated
Jan 18, 2024 - TeX
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn hierarchical representations from data. It powers modern breakthroughs in computer vision, natural language processing, speech recognition, and generative AI.
The most cited deep learning papers
List of articles related to deep learning applied to music
《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
A selection of state-of-the-art research materials on trajectory prediction
Deep Learning Papers on Medical Image Analysis
My Reading Lists of Deep Learning and Natural Language Processing
A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP
Deep Learning for Vision-based Prediction
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
A comprehensive list [AIM@IJCAI'21, P3M@MM'21, GFM@IJCV'22, RIM@CVPR'23, P3MNet@IJCV'23] of our research works related to image matting, including papers, codes, datasets, demos, and citations. Note: The repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving" has been moved to: https://github.com/ViTAE-Transformer/P3M-Net
My CS231n lecture notes
Deep Learning for Natural Language Processing - Lectures 2023
Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
vulnerability detection in python source code with LSTM networks
R 语言数据科学导论 | Data Science Introduction with R
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
Stock price prediction using a Temporal Fusion Transformer
Lecture Notes for Robotics, Cognition, Intelligence @ TUM
📝 References list for machine learning and deep learning in computer vision.