User contributions for SophiaH
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17 November 2017
- 12:5812:58, 17 November 2017 diff hist +441 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Different Types of MAML
- 12:4012:40, 17 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Reinforcement Learning =
- 12:2512:25, 17 November 2017 diff hist +347 Convolutional Sequence to Sequence Learning →Related Work
- 12:0412:04, 17 November 2017 diff hist +263 Deep Exploration via Bootstrapped DQN →Intro to Reinforcement Learning
- 11:0711:07, 17 November 2017 diff hist +50 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Conclusion
- 11:0611:06, 17 November 2017 diff hist +483 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Adaptive Network Input
13 November 2017
- 14:5214:52, 13 November 2017 diff hist +557 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Need for Explanations
9 November 2017
- 23:0823:08, 9 November 2017 diff hist +439 FeUdal Networks for Hierarchical Reinforcement Learning →Related Work
- 22:2222:22, 9 November 2017 diff hist +415 Imagination-Augmented Agents for Deep Reinforcement Learning →Related Work
- 16:4116:41, 9 November 2017 diff hist +802 Dialog-based Language Learning →Related Work
8 November 2017
- 11:5511:55, 8 November 2017 diff hist −59 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Natural Language Processing (NLP) Using Recurrent Neural Network (RNN)
2 November 2017
- 19:4119:41, 2 November 2017 diff hist −5 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 19:3919:39, 2 November 2017 diff hist +1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 18:4618:46, 2 November 2017 diff hist +471 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 18:2518:25, 2 November 2017 diff hist +15 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 13:4313:43, 2 November 2017 diff hist −2 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
1 November 2017
- 14:4214:42, 1 November 2017 diff hist 0 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 14:4214:42, 1 November 2017 diff hist +80 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 14:4114:41, 1 November 2017 diff hist 0 N File:Table6YH.PNG No edit summary current
- 14:4014:40, 1 November 2017 diff hist 0 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 14:4014:40, 1 November 2017 diff hist +117 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 14:3814:38, 1 November 2017 diff hist 0 N File:Table3YH.PNG No edit summary current
- 14:3614:36, 1 November 2017 diff hist 0 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 13:1913:19, 1 November 2017 diff hist +1 Convolutional Sequence to Sequence Learning →Position Embeddings
- 12:2312:23, 1 November 2017 diff hist +200 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 12:2212:22, 1 November 2017 diff hist +614 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 11:5811:58, 1 November 2017 diff hist +563 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 11:4511:45, 1 November 2017 diff hist −3 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
29 October 2017
- 18:2718:27, 29 October 2017 diff hist −6 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Natural Language Processing (NLP) Using Recurrent Neural Network (RNN)
28 October 2017
- 11:3611:36, 28 October 2017 diff hist +561 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 11:2211:22, 28 October 2017 diff hist +2 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 11:1611:16, 28 October 2017 diff hist +15 Learning the Number of Neurons in Deep Networks →Conclusion
- 11:1311:13, 28 October 2017 diff hist +12 Learning the Number of Neurons in Deep Networks →Introduction
- 11:0511:05, 28 October 2017 diff hist +5 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Numerical results
- 11:0211:02, 28 October 2017 diff hist +8 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 11:0111:01, 28 October 2017 diff hist +2 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 10:5810:58, 28 October 2017 diff hist +2 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Evaluation current
- 10:5410:54, 28 October 2017 diff hist +9 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →3D-VAE-GANs
- 10:4510:45, 28 October 2017 diff hist +681 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Lasso Regression and Model Selection:
- 10:2710:27, 28 October 2017 diff hist +328 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Ridge Regression and Overfitting:
27 October 2017
- 18:4418:44, 27 October 2017 diff hist +1,102 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Methodology
- 11:4611:46, 27 October 2017 diff hist +1,652 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 11:4311:43, 27 October 2017 diff hist +1,786 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 11:4211:42, 27 October 2017 diff hist 0 N File:Table5YH.PNG No edit summary current
- 11:4111:41, 27 October 2017 diff hist 0 N File:Table2YH.PNG No edit summary current
- 11:4111:41, 27 October 2017 diff hist 0 N File:Table1YH.PNG No edit summary current
- 11:4011:40, 27 October 2017 diff hist +17 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 11:3911:39, 27 October 2017 diff hist +4,244 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 11:2811:28, 27 October 2017 diff hist +3,405 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 11:2511:25, 27 October 2017 diff hist +1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 11:2211:22, 27 October 2017 diff hist +2,863 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 11:2011:20, 27 October 2017 diff hist +3,228 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Structure
- 11:1811:18, 27 October 2017 diff hist +2,014 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Natural Language Processing (NLP) Using Recurrent Neural Network (RNN)
- 11:1611:16, 27 October 2017 diff hist −296 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
26 October 2017
- 18:5218:52, 26 October 2017 diff hist −3 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Conclusion
- 18:4818:48, 26 October 2017 diff hist −1 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Combining AD Datasets from Multiple Sites
- 18:4718:47, 26 October 2017 diff hist 0 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →SMS Lasso L2 Consistency
- 18:4618:46, 26 October 2017 diff hist +4 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Experiments
- 18:4518:45, 26 October 2017 diff hist +1 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Power and Type I Error
- 18:4418:44, 26 October 2017 diff hist +2 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Experiments
- 18:3818:38, 26 October 2017 diff hist +18 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso and High Dimensional Pooling
20 October 2017
- 17:5717:57, 20 October 2017 diff hist +2,453 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Related Work
19 October 2017
- 21:2321:23, 19 October 2017 diff hist +2,109 Learning What and Where to Draw →Generative Adversarial Networks
13 October 2017
- 23:1123:11, 13 October 2017 diff hist −1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Critique
9 October 2017
- 18:0118:01, 9 October 2017 diff hist +14 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 18:0018:00, 9 October 2017 diff hist +61 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 16:1016:10, 9 October 2017 diff hist +303 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part I: 2-Component Shared Embedding
- 12:2712:27, 9 October 2017 diff hist 0 N File:LightRNN.PNG No edit summary current
- 11:4911:49, 9 October 2017 diff hist −113 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part I: 2-Component Shared Embedding
- 11:4811:48, 9 October 2017 diff hist +112 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part I: 2-Component Shared Embedding
- 11:4611:46, 9 October 2017 diff hist 0 File:2C shared embedding.png SophiaH uploaded a new version of File:2C shared embedding.png current
- 11:4311:43, 9 October 2017 diff hist 0 N File:2C shared embedding.png No edit summary
8 October 2017
- 17:0417:04, 8 October 2017 diff hist 0 f17Stat946PaperSignUp →Paper presentation
- 15:5315:53, 8 October 2017 diff hist +40 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Recurrent Neural Network (RNN)
- 15:5315:53, 8 October 2017 diff hist +8 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Motivation
- 14:2214:22, 8 October 2017 diff hist −17 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Motivation
- 14:2114:21, 8 October 2017 diff hist +20 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
- 14:2114:21, 8 October 2017 diff hist +143 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
- 14:2014:20, 8 October 2017 diff hist −2 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
- 14:2014:20, 8 October 2017 diff hist +79 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
- 14:0114:01, 8 October 2017 diff hist +1,675 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
7 October 2017
- 20:1720:17, 7 October 2017 diff hist +14 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 20:1720:17, 7 October 2017 diff hist +5 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 19:5219:52, 7 October 2017 diff hist +19 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 19:4219:42, 7 October 2017 diff hist +182 N LightRNN: Memory and Computation-Efficient Recurrent Neural Networks Created page with "= Motivation = = Brief Introduction of NLP = = LightRNN Structure = == Part I: 2-Component Shared Embedding == == Part II: Word Allocation == # one # two = LightRNN Ex..."
- 13:0213:02, 7 October 2017 diff hist +83 f17Stat946PaperSignUp →Paper presentation
2 October 2017
- 14:1114:11, 2 October 2017 diff hist +2 f17Stat946PaperSignUp →Paper presentation
- 14:0214:02, 2 October 2017 diff hist +182 f17Stat946PaperSignUp No edit summary