Long pages

Showing below up to 50 results in range #21 to #70.

21. (hist) ‎stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction ‎[33,275 bytes]
22. (hist) ‎Bag of Tricks for Efficient Text Classification ‎[33,269 bytes]
23. (hist) ‎STAT946F17/ Coupled GAN ‎[33,229 bytes]
24. (hist) ‎CapsuleNets ‎[33,214 bytes]
25. (hist) ‎Modular Multitask Reinforcement Learning with Policy Sketches ‎[33,079 bytes]
26. (hist) ‎Speech2Face: Learning the Face Behind a Voice ‎[32,521 bytes]
27. (hist) ‎Countering Adversarial Images Using Input Transformations ‎[32,471 bytes]
28. (hist) ‎conditional neural process ‎[32,432 bytes]
29. (hist) ‎STAT946F17/Conditional Image Generation with PixelCNN Decoders ‎[32,183 bytes]
30. (hist) ‎Zero-Shot Visual Imitation ‎[32,008 bytes]
31. (hist) ‎Describtion of Text Mining ‎[31,794 bytes]
32. (hist) ‎stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs ‎[31,451 bytes]
33. (hist) ‎Wasserstein Auto-encoders ‎[31,206 bytes]
34. (hist) ‎a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis ‎[30,961 bytes]
35. (hist) ‎a neural representation of sketch drawings ‎[30,956 bytes]
36. (hist) ‎Hierarchical Representations for Efficient Architecture Search ‎[30,885 bytes]
37. (hist) ‎policy optimization with demonstrations ‎[30,482 bytes]
38. (hist) ‎stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series ‎[30,150 bytes]
39. (hist) ‎stat946s13 ‎[29,960 bytes]
40. (hist) ‎Improving neural networks by preventing co-adaption of feature detectors ‎[29,831 bytes]
41. (hist) ‎learn what not to learn ‎[29,756 bytes]
42. (hist) ‎Being Bayesian about Categorical Probability ‎[29,729 bytes]
43. (hist) ‎STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow ‎[29,726 bytes]
44. (hist) ‎stat946w18/Towards Image Understanding From Deep Compression Without Decoding ‎[29,622 bytes]
45. (hist) ‎Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction ‎[29,570 bytes]
46. (hist) ‎Surround Vehicle Motion Prediction ‎[29,510 bytes]
47. (hist) ‎Evaluating Machine Accuracy on ImageNet ‎[29,340 bytes]
48. (hist) ‎End to end Active Object Tracking via Reinforcement Learning ‎[29,206 bytes]
49. (hist) ‎Imagination-Augmented Agents for Deep Reinforcement Learning ‎[29,197 bytes]
50. (hist) ‎stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only ‎[29,141 bytes]
51. (hist) ‎Unsupervised Neural Machine Translation ‎[28,860 bytes]
52. (hist) ‎Learning to Navigate in Cities Without a Map ‎[28,789 bytes]
53. (hist) ‎LightRNN: Memory and Computation-Efficient Recurrent Neural Networks ‎[28,750 bytes]
54. (hist) ‎Summary of A Probabilistic Approach to Neural Network Pruning ‎[28,196 bytes]
55. (hist) ‎proposal Fall 2010 ‎[28,170 bytes]
56. (hist) ‎Hierarchical Question-Image Co-Attention for Visual Question Answering ‎[28,143 bytes]
57. (hist) ‎Task Understanding from Confusing Multi-task Data ‎[27,980 bytes]
58. (hist) ‎Research Papers Classification System ‎[27,978 bytes]
59. (hist) ‎stat946F18/differentiableplasticity ‎[27,749 bytes]
60. (hist) ‎DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE ‎[27,357 bytes]
61. (hist) ‎Neural Speed Reading via Skim-RNN ‎[27,299 bytes]
62. (hist) ‎measuring Statistical Dependence with Hilbert-Schmidt Norm ‎[27,247 bytes]
63. (hist) ‎Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples ‎[27,233 bytes]
64. (hist) ‎Adacompress: Adaptive compression for online computer vision services ‎[27,197 bytes]
65. (hist) ‎Convolutional Sequence to Sequence Learning ‎[27,188 bytes]
66. (hist) ‎Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎[27,163 bytes]
67. (hist) ‎STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN ‎[27,054 bytes]
68. (hist) ‎Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ‎[26,931 bytes]
69. (hist) ‎f11Stat841proposal ‎[26,834 bytes]
70. (hist) ‎Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias ‎[26,820 bytes]