Short pages

Jump to navigation Jump to search

Showing below up to 100 results in range #251 to #350.

View ( | ) (20 | 50 | 100 | 250 | 500)

  1. (hist) ‎on the difficulty of training recurrent neural networks ‎[17,840 bytes]
  2. (hist) ‎Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence ‎[17,860 bytes]
  3. (hist) ‎incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) ‎[18,023 bytes]
  4. (hist) ‎stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT ‎[18,063 bytes]
  5. (hist) ‎Neural Audio Synthesis of Musical Notes with WaveNet autoencoders ‎[18,174 bytes]
  6. (hist) ‎Synthesizing Programs for Images usingReinforced Adversarial Learning ‎[18,187 bytes]
  7. (hist) ‎compressive Sensing ‎[18,248 bytes]
  8. (hist) ‎probabilistic Matrix Factorization ‎[18,287 bytes]
  9. (hist) ‎IPBoost ‎[18,321 bytes]
  10. (hist) ‎generating text with recurrent neural networks ‎[18,394 bytes]
  11. (hist) ‎Multi-scale Dense Networks for Resource Efficient Image Classification ‎[18,397 bytes]
  12. (hist) ‎A universal SNP and small-indel variant caller using deep neural networks ‎[18,624 bytes]
  13. (hist) ‎stat441F18/TCNLM ‎[18,699 bytes]
  14. (hist) ‎markov Random Fields for Super-Resolution ‎[18,723 bytes]
  15. (hist) ‎Learning What and Where to Draw ‎[18,801 bytes]
  16. (hist) ‎learning Hierarchical Features for Scene Labeling ‎[18,813 bytes]
  17. (hist) ‎Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data ‎[18,868 bytes]
  18. (hist) ‎Understanding Image Motion with Group Representations ‎[18,990 bytes]
  19. (hist) ‎distributed Representations of Words and Phrases and their Compositionality ‎[19,031 bytes]
  20. (hist) ‎stat946w18/AmbientGAN: Generative Models from Lossy Measurements ‎[19,101 bytes]
  21. (hist) ‎Deep Double Descent Where Bigger Models and More Data Hurt ‎[19,133 bytes]
  22. (hist) ‎Deep Residual Learning for Image Recognition ‎[19,366 bytes]
  23. (hist) ‎PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space ‎[19,470 bytes]
  24. (hist) ‎Do Deep Neural Networks Suffer from Crowding ‎[19,524 bytes]
  25. (hist) ‎stat441F18/YOLO ‎[19,690 bytes]
  26. (hist) ‎overfeat: integrated recognition, localization and detection using convolutional networks ‎[19,798 bytes]
  27. (hist) ‎visualizing Data using t-SNE ‎[19,850 bytes]
  28. (hist) ‎learning Long-Range Vision for Autonomous Off-Road Driving ‎[20,000 bytes]
  29. (hist) ‎Mask RCNN ‎[20,099 bytes]
  30. (hist) ‎Robust Imitation of Diverse Behaviors ‎[20,150 bytes]
  31. (hist) ‎deflation Methods for Sparse PCA ‎[20,218 bytes]
  32. (hist) ‎a Direct Formulation For Sparse PCA Using Semidefinite Programming ‎[20,257 bytes]
  33. (hist) ‎Reinforcement Learning of Theorem Proving ‎[20,271 bytes]
  34. (hist) ‎Self-Supervised Learning of Pretext-Invariant Representations ‎[20,351 bytes]
  35. (hist) ‎F18-STAT841-Proposal ‎[20,352 bytes]
  36. (hist) ‎Fairness Without Demographics in Repeated Loss Minimization ‎[20,361 bytes]
  37. (hist) ‎learning a Nonlinear Embedding by Preserving Class Neighborhood Structure ‎[20,705 bytes]
  38. (hist) ‎Training And Inference with Integers in Deep Neural Networks ‎[20,739 bytes]
  39. (hist) ‎One-Shot Imitation Learning ‎[20,785 bytes]
  40. (hist) ‎meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎[20,964 bytes]
  41. (hist) ‎FeUdal Networks for Hierarchical Reinforcement Learning ‎[20,969 bytes]
  42. (hist) ‎Time-series Generative Adversarial Networks ‎[21,169 bytes]
  43. (hist) ‎Wasserstein Auto-Encoders ‎[21,197 bytes]
  44. (hist) ‎Annotating Object Instances with a Polygon RNN ‎[21,235 bytes]
  45. (hist) ‎probabilistic PCA with GPLVM ‎[21,275 bytes]
  46. (hist) ‎XGBoost ‎[21,275 bytes]
  47. (hist) ‎stat946w18/MaskRNN: Instance Level Video Object Segmentation ‎[21,296 bytes]
  48. (hist) ‎Searching For Efficient Multi Scale Architectures For Dense Image Prediction ‎[21,363 bytes]
  49. (hist) ‎Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition ‎[21,366 bytes]
  50. (hist) ‎Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms ‎[21,399 bytes]
  51. (hist) ‎ShakeDrop Regularization ‎[21,454 bytes]
  52. (hist) ‎DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS ‎[21,484 bytes]
  53. (hist) ‎Learning to Teach ‎[21,503 bytes]
  54. (hist) ‎Label-Free Supervision of Neural Networks with Physics and Domain Knowledge ‎[21,530 bytes]
  55. (hist) ‎Generating Image Descriptions ‎[21,640 bytes]
  56. (hist) ‎A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques ‎[21,774 bytes]
  57. (hist) ‎relevant Component Analysis ‎[21,795 bytes]
  58. (hist) ‎MarrNet: 3D Shape Reconstruction via 2.5D Sketches ‎[21,822 bytes]
  59. (hist) ‎supervised Dictionary Learning ‎[21,847 bytes]
  60. (hist) ‎from Machine Learning to Machine Reasoning ‎[21,916 bytes]
  61. (hist) ‎stat441w18/Convolutional Neural Networks for Sentence Classification ‎[21,916 bytes]
  62. (hist) ‎Dynamic Routing Between Capsules STAT946 ‎[22,076 bytes]
  63. (hist) ‎learning Fast Approximations of Sparse Coding ‎[22,149 bytes]
  64. (hist) ‎Pre-Training Tasks For Embedding-Based Large-Scale Retrieval ‎[22,307 bytes]
  65. (hist) ‎Adversarial Fisher Vectors for Unsupervised Representation Learning ‎[22,378 bytes]
  66. (hist) ‎the Manifold Tangent Classifier ‎[22,426 bytes]
  67. (hist) ‎One-Shot Object Detection with Co-Attention and Co-Excitation ‎[22,512 bytes]
  68. (hist) ‎optimal Solutions forSparse Principal Component Analysis ‎[22,557 bytes]
  69. (hist) ‎A Neural Representation of Sketch Drawings ‎[22,571 bytes]
  70. (hist) ‎STAT946F17/Decoding with Value Networks for Neural Machine Translation ‎[22,662 bytes]
  71. (hist) ‎STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎[22,797 bytes]
  72. (hist) ‎convex and Semi Nonnegative Matrix Factorization ‎[23,247 bytes]
  73. (hist) ‎Adversarial Attacks on Copyright Detection Systems ‎[23,347 bytes]
  74. (hist) ‎compressed Sensing Reconstruction via Belief Propagation ‎[23,435 bytes]
  75. (hist) ‎Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations ‎[23,595 bytes]
  76. (hist) ‎stat946f15/Sequence to sequence learning with neural networks ‎[23,722 bytes]
  77. (hist) ‎stat946w18/Spectral ‎[23,722 bytes]
  78. (hist) ‎Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ‎[23,722 bytes]
  79. (hist) ‎When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary ‎[23,758 bytes]
  80. (hist) ‎STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback ‎[23,815 bytes]
  81. (hist) ‎memory Networks ‎[23,850 bytes]
  82. (hist) ‎Efficient kNN Classification with Different Numbers of Nearest Neighbors ‎[23,936 bytes]
  83. (hist) ‎Spherical CNNs ‎[23,995 bytes]
  84. (hist) ‎deep neural networks for acoustic modeling in speech recognition ‎[24,099 bytes]
  85. (hist) ‎Word translation without parallel data ‎[24,363 bytes]
  86. (hist) ‎a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization ‎[24,469 bytes]
  87. (hist) ‎uncovering Shared Structures in Multiclass Classification ‎[24,508 bytes]
  88. (hist) ‎DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering ‎[24,627 bytes]
  89. (hist) ‎End-to-End Differentiable Adversarial Imitation Learning ‎[24,839 bytes]
  90. (hist) ‎Graph Structure of Neural Networks ‎[24,857 bytes]
  91. (hist) ‎Neural ODEs ‎[24,911 bytes]
  92. (hist) ‎MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION ‎[24,968 bytes]
  93. (hist) ‎consistency of Trace Norm Minimization ‎[24,984 bytes]
  94. (hist) ‎Learning the Number of Neurons in Deep Networks ‎[25,059 bytes]
  95. (hist) ‎stat946w18/Tensorized LSTMs ‎[25,187 bytes]
  96. (hist) ‎graves et al., Speech recognition with deep recurrent neural networks ‎[25,222 bytes]
  97. (hist) ‎Universal Style Transfer via Feature Transforms ‎[25,427 bytes]
  98. (hist) ‎Summary - A Neural Representation of Sketch Drawings ‎[25,539 bytes]
  99. (hist) ‎human-level control through deep reinforcement learning ‎[25,775 bytes]
  100. (hist) ‎Summary for survey of neural networked-based cancer prediction models from microarray data ‎[25,813 bytes]

View ( | ) (20 | 50 | 100 | 250 | 500)

Retrieved from "http://wiki.math.uwaterloo.ca/statwiki/index.php?title=Special:ShortPages"