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Showing below up to 50 results in range #101 to #150.

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  1. (hist) ‎generating Random Numbers ‎[8,400 bytes]
  2. (hist) ‎deep Learning of the tissue-regulated splicing code ‎[8,523 bytes]
  3. (hist) ‎Unsupervised Machine Translation Using Monolingual Corpora Only ‎[8,547 bytes]
  4. (hist) ‎stat441F21 ‎[8,574 bytes]
  5. (hist) ‎Dynamic Routing Between Capsulesl ‎[8,625 bytes]
  6. (hist) ‎a Rank Minimization Heuristic with Application to Minimum Order System Approximation ‎[8,679 bytes]
  7. (hist) ‎adaptive dimension reduction for clustering high dimensional data ‎[8,820 bytes]
  8. (hist) ‎decentralised Data Fusion: A Graphical Model Approach (Summary) ‎[8,861 bytes]
  9. (hist) ‎STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding ‎[8,936 bytes]
  10. (hist) ‎deep Sparse Rectifier Neural Networks ‎[8,983 bytes]
  11. (hist) ‎cardinality Restricted Boltzmann Machines ‎[9,174 bytes]
  12. (hist) ‎parametric Local Metric Learning for Nearest Neighbor Classification ‎[9,358 bytes]
  13. (hist) ‎Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree ‎[9,395 bytes]
  14. (hist) ‎Robust Probabilistic Modeling with Bayesian Data Reweighting ‎[9,400 bytes]
  15. (hist) ‎positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎[9,507 bytes]
  16. (hist) ‎stat946w18 ‎[9,537 bytes]
  17. (hist) ‎Don't Just Blame Over-parametrization ‎[9,544 bytes]
  18. (hist) ‎Going Deeper with Convolutions ‎[9,580 bytes]
  19. (hist) ‎strategies for Training Large Scale Neural Network Language Models ‎[9,641 bytes]
  20. (hist) ‎semi-supervised Learning with Deep Generative Models ‎[9,651 bytes]
  21. (hist) ‎video-based face recognition using Adaptive HMM ‎[9,786 bytes]
  22. (hist) ‎Another look at distance-weighted discrimination ‎[9,801 bytes]
  23. (hist) ‎test ‎[9,812 bytes]
  24. (hist) ‎This Looks Like That: Deep Learning for Interpretable Image Recognition ‎[9,951 bytes]
  25. (hist) ‎f17Stat946PaperSignUp ‎[9,982 bytes]
  26. (hist) ‎Depthwise Convolution Is All You Need for Learning Multiple Visual Domains ‎[10,043 bytes]
  27. (hist) ‎kernel Spectral Clustering for Community Detection in Complex Networks ‎[10,246 bytes]
  28. (hist) ‎context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis ‎[10,381 bytes]
  29. (hist) ‎stat841F18/ ‎[10,578 bytes]
  30. (hist) ‎Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ‎[10,629 bytes]
  31. (hist) ‎hamming Distance Metric Learning ‎[10,708 bytes]
  32. (hist) ‎Representations of Words and Phrases and their Compositionality ‎[10,739 bytes]
  33. (hist) ‎Poison Frogs Neural Networks ‎[10,842 bytes]
  34. (hist) ‎deep Convolutional Neural Networks For LVCSR ‎[10,860 bytes]
  35. (hist) ‎mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION ‎[10,935 bytes]
  36. (hist) ‎a Dynamic Bayesian Network Click Model for Web Search Ranking ‎[10,982 bytes]
  37. (hist) ‎Augmix: New Data Augmentation method to increase the robustness of the algorithm ‎[11,257 bytes]
  38. (hist) ‎A Knowledge-Grounded Neural Conversation Model ‎[11,272 bytes]
  39. (hist) ‎A Game Theoretic Approach to Class-wise Selective Rationalization ‎[11,317 bytes]
  40. (hist) ‎very Deep Convoloutional Networks for Large-Scale Image Recognition ‎[11,457 bytes]
  41. (hist) ‎GradientLess Descent ‎[11,517 bytes]
  42. (hist) ‎f15Stat946PaperSignUp ‎[11,589 bytes]
  43. (hist) ‎maximum-Margin Matrix Factorization ‎[11,779 bytes]
  44. (hist) ‎deep Generative Stochastic Networks Trainable by Backprop ‎[11,830 bytes]
  45. (hist) ‎nonparametric Latent Feature Models for Link Prediction ‎[11,861 bytes]
  46. (hist) ‎learning Phrase Representations ‎[11,920 bytes]
  47. (hist) ‎graph Laplacian Regularization for Larg-Scale Semidefinite Programming ‎[11,952 bytes]
  48. (hist) ‎neural Turing Machines ‎[11,991 bytes]
  49. (hist) ‎CRITICAL ANALYSIS OF SELF-SUPERVISION ‎[11,995 bytes]
  50. (hist) ‎stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction ‎[12,037 bytes]

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