Index of /papers

[ICO]NameLast modifiedSizeDescription
[PARENTDIR]Parent Directory  -  
[DIR]knowledge/2022-10-10 22:13 -  
[DIR]also/2024-09-05 00:59 -  
[   ]Zhang-2016.pdf2016-07-01 00:00 394KRethinking Generalization, Memorization
[   ]Zeiler-2014.pdf2014-07-01 00:00 35MVisualization, Salience Maps
[   ]Yosinksi-2014.pdf2014-07-01 00:00 481KTransfer Learning
[   ]Vinyals-2015.pdf2015-07-01 00:00 752KShow and Tell, Image Captioning
[   ]Vincent-2010.pdf2010-07-01 00:00 1.3MDenoising Autoencoders (DAE)
[   ]Vaswani-2017.pdf2017-07-01 00:00 2.1MAttention is All You Need: Transformers
[   ]Szegedy-2013.pdf2013-07-01 00:00 6.3MAdversarial Examples
[   ]Sutskever-2014.pdf2014-07-01 00:00 140KNeural Machine Translation, Seq2Seq
[   ]Solla-1988.pdf1988-07-01 00:00 2.4MCross Entropy Loss
[   ]Sohl-Dickstein-2015.pdf2015-07-01 00:00 4.2MDiffusion Models
[   ]Silver-2016.pdf2016-07-01 00:00 1.6MAlphaGo, Neural Tree Search
[   ]Senior-2020.pdf2020-07-01 00:00 7.6MAlphaFold, Deep Learning Computational Chemistry
[   ]Scarselli-2009.pdf2009-07-01 00:00 1.4MGraph Neural Networks (GNN)
[   ]Rumelhart-1986.pdf1986-07-01 00:00 1.3MBackpropagation
[   ]Rosenblatt-1962.pdf1962-07-01 00:00 17MPerceptron Learning
[   ]Ramesh-2022.pdf2022-07-01 00:00 41MDiffusion model Text-to-Image Generation (DALL-E 2)
[   ]Radford-2021.pdf2021-07-01 00:00 6.5MContrastive Language-Image representation (CLIP)
[   ]Radford-2018.pdf2018-07-01 00:00 569KAutoregressive Generative Pretrained Transformer (GPT)
[   ]Quiroga-2005.pdf2005-07-01 00:00 403KSingle Neurons in Humans
[   ]Minsky-1969.pdf1969-07-01 00:00 1.0MLimitations of Perceptrons
[   ]Minh-2013.pdf2013-07-01 00:00 472KAtari, Deep Reinforcement Learning
[   ]Mildenhall-2020.pdf2020-07-01 00:00 7.9MNeural Radiance Fields (NeRF)
[   ]Mikolov-2013.pdf2013-07-01 00:00 109KWord2Vec, Semantic Vector Composition
[   ]Meng-2022.pdf2023-09-07 11:26 9.9M 
[   ]McCullochPitts-1943.pdf1943-07-01 00:00 1.2MLogical Neurons
[   ]Lettvin-1959.pdf1959-07-01 00:00 2.5MFrog Neuron Codes
[   ]LeCun-1989.pdf1989-07-01 00:00 1.9MConvolutional Networks (CNN)
[   ]Krogh-1991.pdf1991-07-01 00:00 1.5MWeight Decay
[   ]Krizhevsky-2012.pdf2012-07-01 00:00 1.4MAlexNet, GPU, ImageNet, Dropout
[   ]Kohonen-1972.pdf1972-07-01 00:00 1.1MAssociative Memory
[   ]Kipf-2017.pdf2017-07-01 00:00 853KGraph Neural Networks (GNN)
[   ]Kingma-2015.pdf2015-07-01 00:00 571KThe ADAM optimizer
[   ]Kingma-2013.pdf2013-07-01 00:00 3.7MVariational Autoencoders (VAE)
[   ]Kaplan-2020.pdf2020-07-01 00:00 2.4M 
[   ]Isola-2017.pdf2017-07-01 00:00 1.9MImage-to-Image translation (Pix2Pix)
[   ]Ioffe-2015.pdf2015-07-01 00:00 169KBatch Normalization (Batchnorm)
[   ]HubelWiesel-1959.pdf1959-07-01 00:00 1.8MBiological Vision
[   ]Hochreiter-1997.pdf1997-07-01 00:00 388KLong Short-Term Memory (LSTM)
[   ]Hinton-2006.pdf2006-07-01 00:00 361KRestricted Bolzmann Machines (RBM)
[   ]Hinton-2005.pdf2005-07-01 00:00 827KDeep Belief Networks
[   ]Hinton-1981.pdf1981-07-01 00:00 2.0MParallel Distributed Processing (PDP)
[   ]He-2015.pdf2015-07-01 00:00 800KResidual Networks (ResNet), Kaiming Initialization
[   ]Goodfellow-2014.pdf2014-07-01 00:00 518KGenerative Adversarial Networks (GAN)
[   ]Glorot-2010.pdf2010-07-01 00:00 1.6MRectified Linear Units (ReLU), Xavier Initialization
[   ]Girshick-2014.pdf2014-07-01 00:00 6.2MObject Localization, R-CNN
[   ]Elman-1990.pdf1990-07-01 00:00 2.8MRecurrent Networks (RNN)
[   ]Dinh-2015.pdf2015-07-01 00:00 1.6MNormalizing Flows, Invertible Neural Networks (INN)
[   ]Devlin-2019.pdf2019-07-01 00:00 757KBidirectional Encoder Representation Transformer (BERT)
[   ]Cybenko-1989.pdf1989-07-01 00:00 598KUniversal approximation
[   ]Collobert-2011.pdf2011-07-01 00:00 415KLanguage Models
[   ]Bottou-1991.pdf1991-07-01 00:00 128KStochastic Gradient Descent (SGD)
[   ]Bottou-1990.pdf1990-07-01 00:00 1.4MModular Models
[   ]Bengio-2003.pdf2003-07-01 00:00 137KLanguage Models
[   ]Bahdanau-2015.pdf2015-07-01 00:00 434KAttention