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

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  1. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
  2. Time-series Generative Adversarial Networks‏‎ (47 revisions)
  3. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
  4. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
  5. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
  6. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
  7. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
  8. hierarchical Dirichlet Processes‏‎ (45 revisions)
  9. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
  10. continuous space language models‏‎ (45 revisions)
  11. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
  12. schedule‏‎ (44 revisions)
  13. SuperGLUE‏‎ (44 revisions)
  14. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (43 revisions)
  15. Pixels to Graphs by Associative Embedding‏‎ (43 revisions)
  16. Robust Imitation of Diverse Behaviors‏‎ (43 revisions)
  17. proposal for STAT946 projects‏‎ (43 revisions)
  18. matrix Completion with Noise‏‎ (42 revisions)
  19. Robust Imitation Learning from Noisy Demonstrations‏‎ (42 revisions)
  20. Co-Teaching‏‎ (42 revisions)
  21. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
  22. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  23. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  24. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  25. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  26. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  27. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  28. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  29. stat441w18/e-gan‏‎ (39 revisions)
  30. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  31. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  32. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  33. Poison Frogs Neural Networks‏‎ (38 revisions)
  34. F18-STAT946-Proposal‏‎ (37 revisions)
  35. neural Turing Machines‏‎ (37 revisions)
  36. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  37. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  38. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  39. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
  40. statf09841Proposal‏‎ (36 revisions)
  41. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
  42. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
  43. dropout‏‎ (35 revisions)
  44. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  45. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
  46. schedule of Project Presentations‏‎ (35 revisions)
  47. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  48. memory Networks‏‎ (34 revisions)
  49. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  50. natural language processing (almost) from scratch.‏‎ (33 revisions)
  51. f11Stat946ass‏‎ (33 revisions)
  52. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  53. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  54. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  55. compressive Sensing (Candes)‏‎ (32 revisions)
  56. learning Phrase Representations‏‎ (32 revisions)
  57. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  58. f11stat946EditorSignUp‏‎ (31 revisions)
  59. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
  60. stat841F18/‏‎ (31 revisions)
  61. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  62. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  63. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  64. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  65. Going Deeper with Convolutions‏‎ (30 revisions)
  66. genetics‏‎ (29 revisions)
  67. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  68. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (28 revisions)
  69. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  70. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  71. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  72. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  73. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
  74. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  75. paper Summaries‏‎ (25 revisions)
  76. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  77. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  78. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  79. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  80. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  81. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  82. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  83. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
  84. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  85. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  86. s13Stat946proposal‏‎ (22 revisions)
  87. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  88. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  89. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  90. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  91. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  92. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  93. generating text with recurrent neural networks‏‎ (21 revisions)
  94. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  95. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  96. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
  97. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
  98. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  99. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  100. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)

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