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Tools to Research Papers

Research Journals

  1. Sci-Hub: removing barriers in the way of science (wonderful free resource for researchers)
  2. SIGIR | Special Interest Group on Information Retrieval
  3. ACL Member Portal | The Association for Computational Linguistics Member Portal
  4. ACL SIGDAT – SIGDAT
  5. EMNLP 2020
  6. Association for the Advancement of Artificial Intelligence
  7. ICML: International Conference on Machine Learning
  8. International Conference on Data Mining
  9. WikiCFP : Call For Papers of Conferences, Workshops and Journals
  10. List of Issues | Computational Linguistics | MIT Press Journals
  11. Transactions of the Association for Computational Linguistics
  12. Signal, Image and Video Processing: Springer
  13. LREC Conferences
  14. NeuralIPS
  15. NAACL: North American Chapter of the ACL (Association for Computational Linguistics)
  16. EACL: European Chapter of the Association for Computational Linguistics
  17. International Conference on Computational Linguistics
  18. Sci-Hub: removing barriers in the way of science
  19. Journal of Machine Learning Research
  20. Papers – Allen Institute for AI
  21. Web of Science Master Journal List – Search
  22. Interpretable Machine Learning
  23. ERIC – Journals List
  24. Allen Institute for AI
  25. ImageNet Classification with Deep Convolutional Neural Networks
  26. Using Very Deep Autoencoders for Content Based Image Retrieval
  27. Learning Deep Architectures for AI
  28. CMU’s list of papers
  29. Neural Networks for Named Entity Recognition zip
  30. Training tricks by YB
  31. Geoff Hinton’s reading list (all papers)
  32. Supervised Sequence Labelling with Recurrent Neural Networks
  33. Statistical Language Models based on Neural Networks
  34. Training Recurrent Neural Networks
  35. Recursive Deep Learning for Natural Language Processing and Computer Vision
  36. Bi-directional RNN
  37. LSTM
  38. GRU – Gated Recurrent Unit
  39. GFRNN
  40. LSTM: A Search Space Odyssey
  41. A Critical Review of Recurrent Neural Networks for Sequence Learning
  42. Visualizing and Understanding Recurrent Networks
  43. Wojciech Zaremba, Ilya Sutskever, An Empirical Exploration of Recurrent Network Architectures
  44. Recurrent Neural Network based Language Model
  45. Extensions of Recurrent Neural Network Language Model
  46. Recurrent Neural Network based Language Modeling in Meeting Recognition
  47. Deep Neural Networks for Acoustic Modeling in Speech Recognition
  48. Speech Recognition with Deep Recurrent Neural Networks
  49. Reinforcement Learning Neural Turing Machines
  50. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
  51. Google – Sequence to Sequence Learning with Neural Networks
  52. Memory Networks
  53. Policy Learning with Continuous Memory States for Partially Observed Robotic Control
  54. Microsoft – Jointly Modeling Embedding and Translation to Bridge Video and Language
  55. Neural Turing Machines
  56. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
  57. Mastering the Game of Go with Deep Neural Networks and Tree Search
  58. Batch Normalization
  59. Residual Learning
  60. Image-to-Image Translation with Conditional Adversarial Networks
  61. Berkeley AI Research (BAIR) Laboratory
  62. MobileNets by Google
  63. Cross Audio-Visual Recognition in the Wild Using Deep Learning
  64. Dynamic Routing Between Capsules
  65. Matrix Capsules With Em Routing
  66. Efficient BackProp
  67. Generative Adversarial Nets
  68. Fast R-CNN
  69. Journal of Machine Learning Research
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