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Showing below up to 100 results in range #151 to #250.

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  1. from Machine Learning to Machine Reasoning‏‎ (09:46, 30 August 2017)
  2. question Answering with Subgraph Embeddings‏‎ (09:46, 30 August 2017)
  3. genetics‏‎ (09:46, 30 August 2017)
  4. memory Networks‏‎ (09:46, 30 August 2017)
  5. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (09:46, 30 August 2017)
  6. deep Learning of the tissue-regulated splicing code‏‎ (09:46, 30 August 2017)
  7. deep Convolutional Neural Networks For LVCSR‏‎ (09:46, 30 August 2017)
  8. learning Phrase Representations‏‎ (09:46, 30 August 2017)
  9. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (09:46, 30 August 2017)
  10. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (09:46, 30 August 2017)
  11. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (09:46, 30 August 2017)
  12. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (09:46, 30 August 2017)
  13. deep Generative Stochastic Networks Trainable by Backprop‏‎ (09:46, 30 August 2017)
  14. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (09:46, 30 August 2017)
  15. continuous space language models‏‎ (09:46, 30 August 2017)
  16. generating text with recurrent neural networks‏‎ (09:46, 30 August 2017)
  17. the Manifold Tangent Classifier‏‎ (09:46, 30 August 2017)
  18. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (09:46, 30 August 2017)
  19. distributed Representations of Words and Phrases and their Compositionality‏‎ (09:46, 30 August 2017)
  20. on the Number of Linear Regions of Deep Neural Networks‏‎ (09:46, 30 August 2017)
  21. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (09:46, 30 August 2017)
  22. a fast learning algorithm for deep belief nets‏‎ (09:46, 30 August 2017)
  23. on using very large target vocabulary for neural machine translation‏‎ (09:46, 30 August 2017)
  24. strategies for Training Large Scale Neural Network Language Models‏‎ (09:46, 30 August 2017)
  25. learning Fast Approximations of Sparse Coding‏‎ (09:46, 30 August 2017)
  26. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (09:46, 30 August 2017)
  27. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (09:46, 30 August 2017)
  28. semi-supervised Learning with Deep Generative Models‏‎ (09:46, 30 August 2017)
  29. on the difficulty of training recurrent neural networks‏‎ (09:46, 30 August 2017)
  30. stat946f17‏‎ (23:10, 25 September 2017)
  31. Deep Transfer Learning with Joint Adaptation Networks‏‎ (15:32, 2 October 2017)
  32. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (12:54, 3 October 2017)
  33. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (12:07, 26 October 2017)
  34. Hash Embeddings for Efficient Word Representations‏‎ (19:44, 26 October 2017)
  35. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (10:58, 28 October 2017)
  36. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (03:56, 29 October 2017)
  37. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks‏‎ (15:12, 7 November 2017)
  38. STAT946F17/ Dance Dance Convolution‏‎ (14:50, 24 November 2017)
  39. Hierarchical Question-Image Co-Attention for Visual Question Answering‏‎ (19:50, 28 November 2017)
  40. Universal Style Transfer via Feature Transforms‏‎ (20:10, 28 November 2017)
  41. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (20:18, 28 November 2017)
  42. "Why Should I Trust You?": Explaining the Predictions of Any Classifier‏‎ (20:21, 28 November 2017)
  43. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (20:24, 28 November 2017)
  44. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (20:30, 28 November 2017)
  45. Convolutional Sequence to Sequence Learning‏‎ (20:37, 28 November 2017)
  46. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting‏‎ (20:40, 28 November 2017)
  47. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (20:45, 28 November 2017)
  48. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (13:19, 30 November 2017)
  49. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (14:37, 30 November 2017)
  50. STAT946F17/Decoding with Value Networks for Neural Machine Translation‏‎ (00:09, 3 December 2017)
  51. Learning the Number of Neurons in Deep Networks‏‎ (01:20, 3 December 2017)
  52. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (01:59, 3 December 2017)
  53. Deep Exploration via Bootstrapped DQN‏‎ (14:17, 3 December 2017)
  54. Modular Multitask Reinforcement Learning with Policy Sketches‏‎ (14:25, 3 December 2017)
  55. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (10:07, 4 December 2017)
  56. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks‏‎ (10:18, 4 December 2017)
  57. Conditional Image Synthesis with Auxiliary Classifier GANs‏‎ (10:24, 4 December 2017)
  58. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (10:26, 4 December 2017)
  59. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback‏‎ (10:33, 4 December 2017)
  60. Learning What and Where to Draw‏‎ (12:35, 4 December 2017)
  61. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (12:47, 4 December 2017)
  62. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition‏‎ (15:00, 4 December 2017)
  63. STAT946F17/ Coupled GAN‏‎ (15:02, 4 December 2017)
  64. stat946f15/Sequence to sequence learning with neural networks‏‎ (19:49, 5 February 2018)
  65. stat946w18/Spectral‏‎ (17:51, 22 February 2018)
  66. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (22:22, 23 February 2018)
  67. stat946w18/‏‎ (22:53, 28 February 2018)
  68. stat441w18/summary 1‏‎ (12:51, 7 March 2018)
  69. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (20:39, 9 March 2018)
  70. stat441w18/Convolutional Neural Networks for Sentence Classification‏‎ (03:15, 13 March 2018)
  71. stat441w18/e-gan‏‎ (22:00, 14 March 2018)
  72. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (12:42, 15 March 2018)
  73. stat441w18/mastering-chess-and-shogi-self-play‏‎ (13:58, 15 March 2018)
  74. summary‏‎ (17:34, 18 March 2018)
  75. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction‏‎ (22:03, 19 March 2018)
  76. A Knowledge-Grounded Neural Conversation Model‏‎ (13:09, 20 March 2018)
  77. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (14:09, 20 March 2018)
  78. Dynamic Routing Between Capsulesl‏‎ (19:54, 20 March 2018)
  79. Learning Combinatorial Optimzation‏‎ (23:37, 20 March 2018)
  80. Bag of Tricks for Efficient Text Classification‏‎ (22:32, 27 March 2018)
  81. Generating Image Descriptions‏‎ (10:58, 29 March 2018)
  82. Dynamic Routing Between Capsules‏‎ (12:36, 29 March 2018)
  83. One pixel attack for fooling deep neural networks‏‎ (23:54, 30 March 2018)
  84. Robust Imitation of Diverse Behaviors‏‎ (01:17, 7 April 2018)
  85. stat946w18/Spectral normalization for generative adversial network‏‎ (10:31, 18 April 2018)
  86. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data‏‎ (15:01, 18 April 2018)
  87. Word translation without parallel data‏‎ (17:24, 18 April 2018)
  88. Understanding Image Motion with Group Representations‏‎ (16:09, 20 April 2018)
  89. On The Convergence Of ADAM And Beyond‏‎ (16:54, 20 April 2018)
  90. Training And Inference with Integers in Deep Neural Networks‏‎ (21:23, 20 April 2018)
  91. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (21:29, 20 April 2018)
  92. A Neural Representation of Sketch Drawings‏‎ (21:48, 20 April 2018)
  93. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (22:25, 20 April 2018)
  94. Dynamic Routing Between Capsules STAT946‏‎ (22:40, 20 April 2018)
  95. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (22:42, 20 April 2018)
  96. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (22:45, 20 April 2018)
  97. stat946w18/Tensorized LSTMs‏‎ (22:50, 20 April 2018)
  98. Spherical CNNs‏‎ (22:53, 20 April 2018)
  99. Wavelet Pooling CNN‏‎ (22:57, 20 April 2018)
  100. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (22:59, 20 April 2018)

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