Here is a table of all the research papers I have taken the liberty to print and annotate.

I may — at a later date — add brief notes.

Title Synonyms Author/s Year Implementation/s
Deep Learning for Classical Japanese Literature Masaki Nakagawa 2018 kmnist
A Logical Calculus of the Ideas Immanent in Nervous Activity McCulloch-Pitts Model Warren S. McCulloch, Walter Pitts 1943 perceptron
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes, John Healy, James Melville 2020
Intriguing Properties of Neural Networks Christian Szegedy, Wojciech Zaremba, Ian Goodfellow 2014
Language Models are Unsupervised Multitask Learners GPT-2 Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever 2019
Improving Language Understanding by Generative Pre-training GPT Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever 2018
Attention is All You Need Attention, Transformer Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin 2017
Sequence to Sequence Learning with Neural Networks Seq2Seq Ilya Sutskever, Oriol Vinyals, Quoc V. Le 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition VGGNet Karen Simonyan, Andrew Zisserman 2015
ImageNet Classification with Deep Convolutional Neural Networks AlexNet Alex Krizhevsky, Ilya Sutskever, Geoffrey Hinton 2012
Deep Residual Learning for Image Recognition ResNet Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun 2015
Review: Deep Learning Yann LeCun, Yoshua Bengio, Geoffrey Hinton 2015
Gradient-Based Learning Applied to Document Recognition LeNet Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner 1998
Incremental Training of First Order Recurrent Neural Networks to Predict a Context-Sensitive Language Stephan K. Chalup, Alan D. Blair 2003
The KiTS19 Challenge Data Nicholas Heller, Niranjan Sathiananathen 2020
Handwritten Digit Recognition with a Back-Propagation Network Yann LeCun, Bernhard Boser, John S. Denker, Donnie Henderson, Richard E. Howard, Wayne Hubbard, Lawrence D. Jackel 1989
Convolution Networks for Kidney Vessels Segmentation from CT-Volumes KidNet Ahmed Taha, Pechin Lo, Junning Li 2018
Convolutional Networks for Biomedical Image Segmentation UNet Olaf Ronneberger, Philipp Fischer, Thomas Brox 2015
Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge Niranjan J. Sathianathen, Nicholas Heller, Samuel Kleppe, James M. Mountney, Bradley Erickson 2022