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17 November 2017
- 11:5811:58, 17 November 2017 diff hist +441 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Different Types of MAML
- 11:4011:40, 17 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Reinforcement Learning =
- 11:2511:25, 17 November 2017 diff hist +347 Convolutional Sequence to Sequence Learning →Related Work
- 11:0411:04, 17 November 2017 diff hist +263 Deep Exploration via Bootstrapped DQN →Intro to Reinforcement Learning
- 10:0710:07, 17 November 2017 diff hist +50 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Conclusion
- 10:0610:06, 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
- 13:5213:52, 13 November 2017 diff hist +557 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Need for Explanations
9 November 2017
- 22:0822:08, 9 November 2017 diff hist +439 FeUdal Networks for Hierarchical Reinforcement Learning →Related Work
- 21:2221:22, 9 November 2017 diff hist +415 Imagination-Augmented Agents for Deep Reinforcement Learning →Related Work
- 15:4115:41, 9 November 2017 diff hist +802 Dialog-based Language Learning →Related Work
8 November 2017
- 10:5510:55, 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
- 18:4118:41, 2 November 2017 diff hist −5 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 18:3918:39, 2 November 2017 diff hist +1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 17:4617:46, 2 November 2017 diff hist +471 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 17:2517:25, 2 November 2017 diff hist +15 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 12:4312:43, 2 November 2017 diff hist −2 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
1 November 2017
- 13:4213:42, 1 November 2017 diff hist 0 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 13:4213:42, 1 November 2017 diff hist +80 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 13:4113:41, 1 November 2017 diff hist 0 N File:Table6YH.PNG No edit summary current
- 13:4013:40, 1 November 2017 diff hist 0 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 13:4013:40, 1 November 2017 diff hist +117 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 13:3813:38, 1 November 2017 diff hist 0 N File:Table3YH.PNG No edit summary current
- 13:3613:36, 1 November 2017 diff hist 0 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 12:1912:19, 1 November 2017 diff hist +1 Convolutional Sequence to Sequence Learning →Position Embeddings
- 11:2311:23, 1 November 2017 diff hist +200 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 11:2211:22, 1 November 2017 diff hist +614 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 10:5810:58, 1 November 2017 diff hist +563 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 10:4510:45, 1 November 2017 diff hist −3 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
29 October 2017
- 17:2717:27, 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
- 10:3610:36, 28 October 2017 diff hist +561 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 10:2210:22, 28 October 2017 diff hist +2 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 10:1610:16, 28 October 2017 diff hist +15 Learning the Number of Neurons in Deep Networks →Conclusion
- 10:1310:13, 28 October 2017 diff hist +12 Learning the Number of Neurons in Deep Networks →Introduction
- 10:0510:05, 28 October 2017 diff hist +5 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Numerical results
- 10:0210:02, 28 October 2017 diff hist +8 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 10:0110:01, 28 October 2017 diff hist +2 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 09:5809:58, 28 October 2017 diff hist +2 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Evaluation current
- 09:5409:54, 28 October 2017 diff hist +9 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →3D-VAE-GANs
- 09:4509:45, 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:
- 09:2709:27, 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
- 17:4417:44, 27 October 2017 diff hist +1,102 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Methodology
- 10:4610:46, 27 October 2017 diff hist +1,652 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 10:4310:43, 27 October 2017 diff hist +1,786 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 10:4210:42, 27 October 2017 diff hist 0 N File:Table5YH.PNG No edit summary current
- 10:4110:41, 27 October 2017 diff hist 0 N File:Table2YH.PNG No edit summary current
- 10:4110:41, 27 October 2017 diff hist 0 N File:Table1YH.PNG No edit summary current
- 10:4010:40, 27 October 2017 diff hist +17 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 10:3910:39, 27 October 2017 diff hist +4,244 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Example
- 10:2810:28, 27 October 2017 diff hist +3,405 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 10:2510:25, 27 October 2017 diff hist +1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
