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5 November 2017
- 14:2714:27, 5 November 2017 diff hist +539 Convolutional Sequence to Sequence Learning →References
- 14:2514:25, 5 November 2017 diff hist +186 Convolutional Sequence to Sequence Learning →Background
- 13:5613:56, 5 November 2017 diff hist −93 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 13:5513:55, 5 November 2017 diff hist +12 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 13:5413:54, 5 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →What is the Receptive Field (RF) of a unit?
- 13:5313:53, 5 November 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 13:5313:53, 5 November 2017 diff hist +49 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 13:5313:53, 5 November 2017 diff hist +354 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →What is the Receptive Field (RF) of a unit?
4 November 2017
- 17:5317:53, 4 November 2017 diff hist −1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Critiques
2 November 2017
- 12:0512:05, 2 November 2017 diff hist +123 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 11:4911:49, 2 November 2017 diff hist +1 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DNA motif detection
- 11:4611:46, 2 November 2017 diff hist +59 STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 11:4611:46, 2 November 2017 diff hist +276 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DNA motif detection
- 10:1310:13, 2 November 2017 diff hist +4 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Ridge Regression and Overfitting:
- 10:1210:12, 2 November 2017 diff hist +102 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 10:1210:12, 2 November 2017 diff hist +1 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Ridge Regression and Overfitting:
- 10:1110:11, 2 November 2017 diff hist +430 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Ridge Regression and Overfitting:
31 October 2017
- 17:0317:03, 31 October 2017 diff hist +259 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 17:0017:00, 31 October 2017 diff hist −29 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 16:5916:59, 31 October 2017 diff hist +2 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 16:5916:59, 31 October 2017 diff hist +8 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 16:5716:57, 31 October 2017 diff hist −15 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 16:5616:56, 31 October 2017 diff hist +34 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 16:5516:55, 31 October 2017 diff hist +1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 16:5516:55, 31 October 2017 diff hist +28 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:5416:54, 31 October 2017 diff hist −12 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:5416:54, 31 October 2017 diff hist −13 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:5416:54, 31 October 2017 diff hist −3 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:5316:53, 31 October 2017 diff hist +14 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:5116:51, 31 October 2017 diff hist +30 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:5016:50, 31 October 2017 diff hist +5 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:4916:49, 31 October 2017 diff hist −49 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:4816:48, 31 October 2017 diff hist +78 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:4616:46, 31 October 2017 diff hist +6 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:4616:46, 31 October 2017 diff hist +7 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:4316:43, 31 October 2017 diff hist +1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:4316:43, 31 October 2017 diff hist −144 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:4016:40, 31 October 2017 diff hist −45 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3916:39, 31 October 2017 diff hist −2 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3916:39, 31 October 2017 diff hist +281 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3616:36, 31 October 2017 diff hist +7 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3516:35, 31 October 2017 diff hist −6 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3416:34, 31 October 2017 diff hist −2 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3316:33, 31 October 2017 diff hist −45 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3216:32, 31 October 2017 diff hist 0 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3216:32, 31 October 2017 diff hist +224 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:2816:28, 31 October 2017 diff hist 0 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:2816:28, 31 October 2017 diff hist −12 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:2716:27, 31 October 2017 diff hist +10 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:2616:26, 31 October 2017 diff hist +19 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach