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Showing below up to 50 results in range #51 to #100.

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  1. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  2. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  3. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  4. markov Chain Definitions‏‎ (9 revisions)
  5. monte Carlo Integration‏‎ (10 revisions)
  6. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  7. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  8. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  9. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  10. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  11. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  12. stat441F18/YOLO‏‎ (16 revisions)
  13. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  14. f11Stat946papers‏‎ (18 revisions)
  15. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  16. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  17. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  18. generating text with recurrent neural networks‏‎ (21 revisions)
  19. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  20. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  21. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  22. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  23. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  24. s13Stat946proposal‏‎ (22 revisions)
  25. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  26. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  27. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  28. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  29. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  30. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  31. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  32. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  33. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  34. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  35. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  36. paper Summaries‏‎ (25 revisions)
  37. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  38. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  39. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  40. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  41. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  42. genetics‏‎ (29 revisions)
  43. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  44. Going Deeper with Convolutions‏‎ (30 revisions)
  45. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  46. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  47. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  48. stat841F18/‏‎ (31 revisions)
  49. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  50. f11stat946EditorSignUp‏‎ (31 revisions)

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