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Showing below up to 50 results in range #301 to #350.

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  1. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
  2. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  3. dropout‏‎ (35 revisions)
  4. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  5. statf09841Proposal‏‎ (36 revisions)
  6. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  7. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
  8. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  9. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  10. neural Turing Machines‏‎ (37 revisions)
  11. F18-STAT946-Proposal‏‎ (37 revisions)
  12. Poison Frogs Neural Networks‏‎ (38 revisions)
  13. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  14. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  15. stat441w18/e-gan‏‎ (39 revisions)
  16. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  17. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  18. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  19. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  20. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  21. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  22. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
  23. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  24. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  25. Co-Teaching‏‎ (42 revisions)
  26. matrix Completion with Noise‏‎ (42 revisions)
  27. Robust Imitation Learning from Noisy Demonstrations‏‎ (42 revisions)
  28. Pixels to Graphs by Associative Embedding‏‎ (43 revisions)
  29. Robust Imitation of Diverse Behaviors‏‎ (43 revisions)
  30. proposal for STAT946 projects‏‎ (43 revisions)
  31. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (43 revisions)
  32. SuperGLUE‏‎ (44 revisions)
  33. schedule‏‎ (44 revisions)
  34. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
  35. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
  36. continuous space language models‏‎ (45 revisions)
  37. hierarchical Dirichlet Processes‏‎ (45 revisions)
  38. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
  39. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
  40. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
  41. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
  42. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
  43. A Neural Representation of Sketch Drawings‏‎ (47 revisions)
  44. End-to-End Differentiable Adversarial Imitation Learning‏‎ (47 revisions)
  45. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (47 revisions)
  46. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
  47. Time-series Generative Adversarial Networks‏‎ (47 revisions)
  48. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (48 revisions)
  49. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (48 revisions)
  50. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (49 revisions)

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