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Showing below up to 50 results in range #271 to #320.

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  1. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
  2. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  3. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  4. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  5. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  6. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  7. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  8. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  9. stat441w18/e-gan‏‎ (39 revisions)
  10. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  11. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  12. Poison Frogs Neural Networks‏‎ (38 revisions)
  13. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  14. F18-STAT946-Proposal‏‎ (37 revisions)
  15. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  16. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  17. neural Turing Machines‏‎ (37 revisions)
  18. statf09841Proposal‏‎ (36 revisions)
  19. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  20. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
  21. schedule of Project Presentations‏‎ (35 revisions)
  22. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
  23. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  24. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
  25. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
  26. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  27. dropout‏‎ (35 revisions)
  28. memory Networks‏‎ (34 revisions)
  29. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  30. natural language processing (almost) from scratch.‏‎ (33 revisions)
  31. f11Stat946ass‏‎ (33 revisions)
  32. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  33. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  34. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  35. learning Phrase Representations‏‎ (32 revisions)
  36. compressive Sensing (Candes)‏‎ (32 revisions)
  37. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  38. stat841F18/‏‎ (31 revisions)
  39. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  40. f11stat946EditorSignUp‏‎ (31 revisions)
  41. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
  42. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  43. Going Deeper with Convolutions‏‎ (30 revisions)
  44. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  45. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  46. genetics‏‎ (29 revisions)
  47. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  48. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  49. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (28 revisions)
  50. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)

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