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Источник: Сергей Марков 21.12.2016 (skype)

  1. https://habrahabr.ru/company/wunderfund/blog/313696/
    1. Categorized Файл:The perceptron - a probabilistic model for information storage and organization in the brain Rosenblatt1958.pdf
    2. Categorized Файл:Roval signals & radar establishment ADA196234.pdf
    3. Categorized Файл:Neural Networks and Physical Systems with Emergent Collective Computational Abilities Hopfield82.pdf
    4. Файл:First Links in the Markov Chain 201321152149545-2013-03Hayes.pdf
    5. Файл:Learning and relearning in Boltzmann machines.pdf
    6. Файл:Information processing in dynamical systems- Foundations of harmony theory. ADA620727.pdf
    7. Categorized Файл:Auto-association by multilayer perceptrons and singular value decomposition 1548720901c89b3b7481f7500d7cd64e99bd.pdf
    8. Файл:3112-efficient-learning-of-sparse-representations-with-an-energy-based-model.pdf
    9. Файл:Auto-Encoding Variational Bayes 1312.6114v10.pdf
    10. Файл:Extracting and composing robust features with denoising autoencoders 592.pdf
    11. Файл:3048-greedy-layer-wise-training-of-deep-networks.pdf
    12. Файл:Gradient-based learning applied to document recognition Lecun-98.pdf
    13. Файл:Deconvolutional networks Cvpr2010.pdf
  1. https://habrahabr.ru/company/wunderfund/blog/313906/
    1. Categorized Файл:Deep Convolutional Inverse Graphics Network 1503.03167v4.pdf
    2. Файл:Generative adversarial nets 1406.2661v1.pdf
    3. Categorized Файл:Finding structure in time Fsit.pdf
    4. Categorized Файл:Long short-term memory Hochreiter97 lstm.pdf
    5. Categorized Файл:Empirical evaluation of gated recurrent neural networks on sequence modeling 1412.3555v1.pdf
    6. Файл:Neural Turing Machines 1410.5401v2.pdf
    7. Файл:Bidirectional recurrent neural networks BRNN.pdf
    8. Файл:Deep residual learning for image recognition 1512.03385v1.pdf
    9. Файл:Harnessing nonlinearity- Predicting chaotic systems and saving energy in wireless communication 17bb82c11e6e2263178ed20ac23db6279c7a.pdf
    10. Файл:Extreme learning machines trends and controversies IEEE-IS-ELM.pdf
    11. Файл:Real-time computing without stable states- A new framework for neural computation based on perturbations Maass et al 2002.pdf
    12. Файл:Support-vector networks Cortes vapnik95.pdf
    13. Файл:Self-organized formation of topologically correct feature maps Kohonen-82.pdf
  1. Categorized https://www.fer.unizg.hr/_download/repository/KDI-Djalto.pdf Файл:Deep neural networks for time series prediction with applications in ultra-short-term wind forecasting KDI-Djalto.pdf
  2. https://brml.org/uploads/tx_sibibtex/281.pdf Файл:Image Super-Resolution with Fast Approximate Convolutional Sparse Coding 281.pdf
  3. https://arxiv.org/pdf/1609.05158v2.pdf Файл:Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 1609.05158v2.pdf
  4. https://arxiv.org/pdf/1511.07122v3.pdf Файл:2016-04-30 MULTI-SCALE CONTEXT AGGREGATION BY Dilated Convolutions.pdf
  5. https://arxiv.org/ftp/arxiv/papers/1609/1609.07009.pdf Файл:Is the deconvolution layer the same as a convolutional layer 1609.07009.pdf
  6. http://distill.pub/2016/deconv-checkerboard/
  7. http://ssw9.net/papers/ssw9_PS2-13_Wu.pdf Файл:Merlin - An Open Source Neural Network Speech Synthesis System Ssw9 PS2-13 Wu.pdf
  8. http://static.googleusercontent.com/media/research.google.com/ru//pubs/archive/41539.pdf Файл:Deep Learning in Speech Synthesis 41539.pdf
  9. https://wp.nyu.edu/ismir2016/wp-content/uploads/sites/2294/2016/08/ardila-audio.pdf Файл:Audio deep dream- optimizing raw audio with convolutional networks Ardila-audio.pdf
  10. https://arxiv.org/pdf/1411.5928.pdf Файл:Learning to Generate Chairs, Tables and Cars with Convolutional Networks 1411.5928.pdf
  11. https://papers.nips.cc/paper/6584-efficient-high-order-interaction-aware-feature-selection-based-on-conditional-mutual-information.pdf Файл:6584-efficient-high-order-interaction-aware-feature-selection-based-on-conditional-mutual-information.pdf
  12. http://blog.themusio.com/2016/11/04/dilated-causal-convolutions-for-audio-and-text-generation/
  13. ⊗ ссылка не работает https://www.dropbox.com/s/3khci941vb1w0r5/From%20Captions%20to%20Visual%20Concepts%20and%20Back.pdf?dl=0
  14. ⊗ ссылка не работает https://www.dropbox.com/s/8oyq15qscuizzov/Network%20In%20Network.pdf?dl=0
  15. https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/CNN20Whitepaper.pdf Файл:Accelerating Deep Convolutional Neural Networks Using Specialized Hardware CNN20Whitepaper.pdf
  16. http://cs231n.stanford.edu/reports/ConvChess.pdf Файл:Predicting Moves in Chess using Convolutional Neural Networks ConvChess.pdf
  17. http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Файл:Evolving Neural Networks through Augmenting Topologies Stanley.ec02.pdf
  18. https://github.com/jdsutton/GNN
  19. https://arxiv.org/pdf/1509.01549v2.pdf Файл:Giraffe Using Deep Reinforcement Learning to Play Chess1509.01549v2.pdf
  20. https://arxiv.org/ftp/arxiv/papers/1512/1512.07370.pdf Файл:Musical instrument sound classification with deep convolutional neural network using feature fusion approach 1512.07370.pdf
  21. https://deepmind.com/blog/wavenet-generative-model-raw-audio/
    https://arxiv.org/pdf/1609.03499.pdf Файл:2016-09-19 WAVENET - A GENERATIVE MODEL FOR RAW AUDIO.pdf
  22. https://github.com/tomlepaine/fast-wavenet
  1. http://genes1s.net/ai.php

28.12.2016

  1. https://arxiv.org/abs/1606.07056 Файл:Emulating Human Conversations using Convolutional Neural Network-based IR 1606.07056v1.pdf
  2. http://www.wildml.com/2016/04/deep-learning-for-chatbots-part-1-introduction/
  3. https://github.com/macournoyer/neuralconvo
  4. https://www.ntnu.no/bridge/sites/default/files/listing_attachments/audio-visual_speech_recognition_using_deep_learning.pdf Файл:Audio-visual speech recognition using deep learning.pdf

02.01.2017

  1. http://web.mit.edu/vondrick/tinyvideo/

03.01.2017

  1. http://deepsound.io/wavenet_first_try.html
  2. https://arxiv.org/abs/1612.08185

07.01.2017

  1. https://www.youtube.com/watch?v=rAbhypxs1qQ
  2. http://www.forbes.com/sites/quora/2016/12/30/these-were-the-best-machine-learning-breakthroughs-of-2016/#10318dcd307e
  3. https://tproger.ru/translations/neural-network-zoo-1/
  4. https://dspace.cvut.cz/bitstream/handle/10467/64783/F3-DP-2016-Fiala-Jiri-DP_Jiri_Fiala.pdf Файл:DNN-HMM Based Multilingual Recognizer of Telephone Speech F3-DP-2016-Fiala-Jiri-DP Jiri Fiala.pdf
  5. http://vpanayotov.blogspot.ru/2012/06/kaldi-decoding-graph-construction.html

17.01.2017

  1. https://arxiv.org/abs/1701.03534 Файл:An OpenCLTM Deep Learning Accelerator on Arria 10 1701.03534v1.pdf

19.01.2017

  1. https://disser.spbu.ru/files/disser2/disser/rxtNVMXYTy.pdf Файл:Automatic Speech Recognition RxtNVMXYTy.pdf

20.01.2017

  1. https://arxiv.org/pdf/1206.2944.pdf Файл:PRACTICAL BAYESIAN OPTIMIZATION OF MACHINE LEARNING ALGORITHMS 1206.2944.pdf
  2. https://www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf

Источник: Михаил Барг 21.12.2016 (skype)

  1. http://colah.github.io

03.01.2017

  1. http://www.flow-machines.com/ai-makes-pop-music/
  2. https://arxiv.org/abs/1508.06576 алгоритм для https://deepart.io


04.01.2017

  1. https://github.com/BVLC/caffe/wiki/Model-Zoo

07.01.2017

  1. http://inverseprobability.com/2016/12/13/nips-highlights.html
  2. https://arxiv.org/pdf/1508.06576v2.pdf
  3. https://arxiv.org/pdf/1502.01710v1.pdf
  4. https://github.com/Microsoft/CNTK/wiki/Deep-Crossing-on-CNTK
  5. https://github.com/Microsoft/CNTK/blob/v2.0.beta7.0/Tutorials/CNTK_205_Artistic_Style_Transfer.ipynb

10.01.2017

вот еще про архитектуры

  1. https://culurciello.github.io/tech/2016/06/04/nets.html
  2. https://arxiv.org/pdf/1411.5928.pdf
  3. https://wp.nyu.edu/ismir2016/wp-content/uploads/sites/2294/2016/08/ardila-audio.pdf
  4. http://static.googleusercontent.com/media/research.google.com/ru//pubs/archive/41539.pdf
  5. https://github.com/vdumoulin/conv_arithmetic

01.02.2017

  1. https://www.speechmatics.com/research/
  2. https://culurciello.github.io/tech/2016/06/04/nets.html

Источник: Михаил Барг 20.12.2016 (dropbox)

Dropbox\SpeechRecognitionPapers

  1. Categorized 1412.7449v3.pdf Файл:Grammar as a Foreign Language 1412.7449v3.pdf
  2. Categorized Attention-Based Models for Speech Recognition.pdf Файл:Attention-Based Models for Speech Recognition.pdf
  3. Categorized BaumannEtAl16IWSDS.pdf Файл:Recognising Conversational Speech - What an Incremental ASR Should Do for a Dialogue System and How to Get There BaumannEtAl16IWSDS.pdf
  4. Categorized Connectionist Temporal Classification - Labelling Unsegmented Sequence Data with Recurrent Neural Networks.pdf Файл:Connectionist Temporal Classification - Labelling Unsegmented Sequence Data with Recurrent Neural Networks.pdf
  5. Categorized CUTE-icassp_2016.pdf Файл:CUTE - A CONCATENATIVE METHOD FOR VOICE CONVERSION USING EXEMPLAR-BASED UNIT SELECTION CUTE-icassp 2016.pdf
  6. Categorized Дубликат END-TO-END ATTENTION-BASED LARGE VOCABULARY SPEECH RECOGNITION.pdf Файл:END-TO-END ATTENTION-BASED LARGE VOCABULARY SPEECH RECOGNITION - 1508.04395.pdf
  7. Categorized Enriching Speech Recognition with Automatic Detection of Sentence Boundaries and Disfluencies.pdf Файл:Enriching Speech Recognition with Automatic Detection of Sentence Boundaries and Disfluencies.pdf
  8. Categorized Garbage Modeling for On-device Speech Recognition.pdf Файл:Garbage Modeling for On-device Speech Recognition.pdf
  9. Categorized Handling Disfluencies in Spontaneous Language Models.pdf Файл:Handling Disfluencies in Spontaneous Language Models.pdf
  10. Categorized iwsds2016-expanded.pdf Файл:Recognizing Conversational Speech- What an Incremental ASR Should Do for a Dialogue System and How to Get There Iwsds2016-expanded.pdf
  11. Categorized Lexicon-Free Conversational Speech Recognition with Neural Networks 2015.pdf Файл:Lexicon-Free Conversational Speech Recognition with Neural Networks 2015.pdf
  12. Categorized MODELING OUT-OF-VOCABULARY WORDS FOR ROBUST SPEECH RECOGNITION.pdf Файл:MODELING OUT-OF-VOCABULARY WORDS FOR ROBUST SPEECH RECOGNITION.pdf
  13. Categorized Revisiting Word Neighborhoods for Speech Recognition.pdf Файл:Revisiting Word Neighborhoods for Speech Recognition.pdf
  14. Дубликат Categorized Sequence to Sequence Learning with Neural Networks - Google.pdf Файл:Sequence to sequence learning with neural networks 5346-sequence-to-sequence-learning-with-neural-networks 1409.3215.pdf
  15. Categorized SILENCE IS GOLDEN - MODELING NON-SPEECH EVENTS IN WFST-BASED DYNAMIC NETWORK DECODERS.pdf Файл:SILENCE IS GOLDEN - MODELING NON-SPEECH EVENTS IN WFST-BASED DYNAMIC NETWORK DECODERS.pdf
  16. Categorized Vocal Tract Length Perturbation (VTLP) improves speech recognition.pdf Файл:Vocal Tract Length Perturbation (VTLP) improves speech recognition.pdf

Dropbox\DeepLearningPapers

  1. 1409.2329v5.pdf Файл:Recurent neural network regularization 1409.2329v5.pdf
  2. 1502.03044v2.pdf Файл:Show attend and tell neural image caption generation with visual attention 1502.03044v2.pdf
  3. 1502.04681.pdf Файл:Unsupervised Learningof Video Representation susing LSTMs 1502.04681.pdf
  4. 1504.08083v2.pdf Файл:FastR-CNN 1504.08083v2.pdf
  5. 1506.02078v2.pdf Файл:Visualizing and understanding recurrent networks 1506.02078v2.pdf
  6. 1506.03340v3.pdf Файл:Teaching Machines to Read and Comprehend 1506.03340v3.pdf
  7. 1506.05869.pdf Файл:A Neural Conversational Model 1506.05869.pdf
  8. 1509.01549v2.pdf Файл:Giraffe Using Deep Reinforcement Learning to Play Chess1509.01549v2.pdf
  9. 1509.08967.pdf Файл:Very deep multilingual convolutional neural networks for LVCSR 1509.08967.pdf
  10. 1511.06233v1.pdf Файл:Towards Open Set Deep Networks 1511.06233v1.pdf
  11. 1512.07370.pdf Файл:Musical instrument sound classification with deep convolutional neural network using feature fusion approach 1512.07370.pdf
  12. 1602.00370v2.pdf Файл:Visualizing large-scale and high-dimensional data 1602.00370v2.pdf
  13. 1604.07143.pdf Файл:Neural random forests 1604.07143.pdf
  14. 1610.05256v1.pdf Файл:Achiving human parity in conversational speech recognition 1610.05256v1.pdf
  15. 1610.05267.pdf Файл:Rule extraction algorithm for deep neural networks - a review 1610.05267.pdf
  16. 2005_Notes_Lasso.pdf Файл:Least Squares Optimization with L1-Norm Regularization 2005 Notes Lasso.pdf
  17. 5346-sequence-to-sequence-learning-with-neural-networks.pdf Файл:Sequence to sequence learning with neural networks 5346-sequence-to-sequence-learning-with-neural-networks.pdf
  18. abcbb87d8ff48ee47d446411a3455451f25b.pdf Файл:Deep Convolutional Neural Networks On Multichannel Time Series For Human Activity Recognition Abcbb87d8ff48ee47d446411a3455451f25b.pdf
  19. Дубликат Achieving Human Parity in Conversational Speech Recognition.pdf Файл:Achiving human parity in conversational speech recognition 1610.05256v1.pdf
  20. ACMMM2015_ActivityRecognition.pdf Файл:Human Activity Recognition using Wearable Sensors by Deep Convolutional Neural Networks ACMMM2015 ActivityRecognition.pdf
  21. caruana.icml06.pdf Файл:An Empirical Comparison of Supervised Learning Algorithms Caruana.icml06.pdf
  22. CIKM14_tutorial_HeGaoDeng.pdf Файл:Deep Learning for Natural Language Processing - Theory and Practice CIKM14 tutorial HeGaoDeng.pdf
  23. clnl94.pdf Файл:Initializing Neural Networks using Decision Trees Clnl94.pdf
  24. comp04.pdf Файл:Comparison of algorithms for nonlinear regression estimates Comp04.pdf
  25. Deep_Convolutional_and_LSTM_Recurrent_Neural_Netwo.pdf Файл:Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition Deep Convolutional and LSTM Recurrent Neural Netwo.pdf
  26. END-TO-END ATTENTION-BASED LARGE VOCABULARY SPEECH RECOGNITION - 1508.04395.pdf Файл:END-TO-END ATTENTION-BASED LARGE VOCABULARY SPEECH RECOGNITION - 1508.04395.pdf
  27. geurts-mlj-advance.pdf Файл:Extremely randomized trees Geurts-mlj-advance.pdf
  28. Human-level_control_through_deep_reinforcement_learning.pdf Файл:Human-level control through deep reinforcement learning.pdf
  29. Ignatov2015DeepLearningThesis.pdf Файл:Deep Learning in information analysis of electrocardiogram signals for disease diagnostics Ignatov2015DeepLearningThesis.pdf
  30. ImageCaptionInWild-1.pdf Файл:Rich Image Captioning in the Wild ImageCaptionInWild-1.pdf
  31. koutnik2014sab.pdf Файл:Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning Koutnik2014sab.pdf
  32. l1_logistic_reg_aaai.pdf Файл:A Method for Large-Scale L1-Regularized Logistic Regression L1 logistic reg aaai.pdf
  33. lee16a.pdf Файл:Generalizing Pooling Functions in Convolutional Neural Networks - Mixed,Gated,and Tree Lee16a.pdf
  34. maron98framework.pdf Файл:A Framework for Multiple-Instance Learning Maron98framework.pdf
  35. mi_ubicomp_sagaware12.pdf Файл:USC-HAD - A Daily Activity Dataset for Ubiquitous Activity Recognition Using Wearable Sensors Mi ubicomp sagaware12.pdf
  36. nguyen2016synthesizing.pdf Файл:Synthesizing the preferred inputs for neurons in neural networks via deep generator networks Nguyen2016synthesizing.pdf
  37. Research Blog_ Inceptionism_ Going Deeper into Neural Networks.pdf Файл:Inceptionism - Going Deeper into Neural Networks Research Blog Inceptionism Going Deeper into Neural Networks.pdf
  38. rvecs.pdf Файл:Linguistic Regularities in Continuous Space Word Representations Rvecs.pdf
  39. sensors-14-10146.pdf Файл:Fusion of Smartphone Motion Sensors for Physical Activity Recognition Sensors-14-10146.pdf
  40. spectral_LSTM.pdf Файл:LTSM tiem and frequency recurrence for automatic speech recognition Spectral LSTM.pdf
  41. srivastava14a.pdf Файл:Dropout - A Simple Way to Prevent Neural Networks from Overfitting Srivastava14a.pdf
  42. www2014_cdssm_p07.pdf Файл:Learning Semantic Representations Using Convolutional Neural Networks for Web Search Www2014 cdssm p07.pdf

Dropbox\DeepLearningPapers\DeepMind - WaveNet, PixelNet, etc

  1. Categorized MULTI-SCALE CONTEXT AGGREGATION BY Dilated Convolutions.pdf Файл:2016-04-30 MULTI-SCALE CONTEXT AGGREGATION BY Dilated Convolutions.pdf
  2. Categorized Conditional Image Generation with PixelCNN Decoders.pdf Файл:2016-07-18 Conditional Image Generation with PixelCNN Decoders.pdf
  3. Pixel Recurrent Neural Networks.pdf Файл:2016-08-19 Pixel Recurrent Neural Networks.pdf
  4. WAVENET - A GENERATIVE MODEL FOR RAW AUDIO.pdf Файл:2016-09-19 WAVENET - A GENERATIVE MODEL FOR RAW AUDIO.pdf
  5. Neural Machine Translation in Linear Time (ByteNet).pdf Файл:2016-10-31 Neural Machine Translation in Linear Time (ByteNet).pdf

Dropbox\DeepLearningPapers\Read

  1. 1410.5401v2.pdf Файл:Neural Turing Machines 1410.5401v2.pdf
  2. 1412.6575v4.pdf Файл:EMBEDDING ENTITIES AND RELATIONS FOR LEARNING AND INFERENCE IN KNOWLEDGE BASES 1412.6575v4.pdf
  3. 1502.03167v3.pdf Файл:Batch Normalization- Accelerating Deep Network Training by Reducing Internal Covariate Shift 1502.03167v3.pdf
  4. 4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf Файл:4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
  5. From Captions to Visual Concepts and Back.pdf Файл:From Captions to Visual Concepts and Back.pdf
  6. Network In Network.pdf Файл:Network In Network.pdf
  7. The Genetic Convolutional Neural Network Model Based on Random Sample.pdf Файл:The Genetic Convolutional Neural Network Model Based on Random Sample.pdf

Источник: Константин Слипенский

  1. Файл:A tutorial on training recurrent neural networks covering BPPT RTRL EKF and the echo state network approach ESNTutorialRev.pdf
  2. Файл:Bagging 24-bag.pdf
  3. http://en.wikipedia.org/wiki/Bootstrap_aggregating

По датам

  1. 03.02.2107 Григорий Сапунов на семинаре ШАД https://www.youtube.com/watch?v=BKjz49J7EhA
  2. 05.02.2017 https://ru.wikipedia.org/wiki/Долгая_краткосрочная_память
  3. CNTK Library Managed API https://github.com/Microsoft/CNTK/wiki/CNTK-Library-Managed-API
  4. CNTK 206: Basic GAN with MNIST data https://github.com/Microsoft/CNTK/blob/v2.0.beta10.0/Tutorials/CNTK_206_Basic_GAN.ipynb
  5. Grid long short-term memory 1507.01526v3.pdf Файл:Файл:Grid long short-term memory 1507.01526v3.pdf
  6. http://christopher5106.github.io/deep/learning/2016/10/21/1d-grid-lstm-and-the-xor-problem.html
  7. https://github.com/n0mad/octopi
  8. https://arxiv.org/pdf/1602.03032.pdf Associative Long Short-Term Memory 1602.03032.pdf
  9. 07.02.2017 Neural Random Forests /уже есть/ Файл:Neural random forests 1604.07143.pdf https://arxiv.org/pdf/1604.07143.pdf
  10. https://habrahabr.ru/post/320256/
  11. 16.02.2017 https://github.com/tensorflow/tensorflow/releases/tag/v1.0.0
  12. 22.02.2017 Image-to-Image Demo http://affinelayer.com/pixsrv/index.html
  13. 24.02.2017 https://www.newscientist.com/article/mg23331144-500-ai-learns-to-write-its-own-code-by-stealing-from-other-programs/
  14. http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
  15. 27.02.2017 http://www.dialog-21.ru/
  16. http://www.aot.ru/index.html Файл:A guide to convolution arithmetic for deep learning 1603.07285.pdf