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9 November 2017
- 11:0311:03, 9 November 2017 diff hist +1 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 11:0211:02, 9 November 2017 diff hist −77 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 11:0111:01, 9 November 2017 diff hist 0 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 11:0011:00, 9 November 2017 diff hist +6 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 10:5910:59, 9 November 2017 diff hist +4 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 10:5710:57, 9 November 2017 diff hist −64 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 10:5710:57, 9 November 2017 diff hist +69 FeUdal Networks for Hierarchical Reinforcement Learning →References
- 10:5610:56, 9 November 2017 diff hist +2 FeUdal Networks for Hierarchical Reinforcement Learning →Experiments
- 10:5510:55, 9 November 2017 diff hist −25 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 10:5410:54, 9 November 2017 diff hist −63 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 10:5410:54, 9 November 2017 diff hist +329 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 10:4910:49, 9 November 2017 diff hist −2 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 09:3709:37, 9 November 2017 diff hist +4 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Cognitive Biases
- 09:3609:36, 9 November 2017 diff hist +16 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 09:3609:36, 9 November 2017 diff hist +65 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 09:3509:35, 9 November 2017 diff hist +313 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Cognitive Biases
- 09:1809:18, 9 November 2017 diff hist +1 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Introduction
5 November 2017
- 13:4313:43, 5 November 2017 diff hist +1 Convolutional Sequence to Sequence Learning →Introduction
- 13:4113:41, 5 November 2017 diff hist +3 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Introduction
- 13:2813:28, 5 November 2017 diff hist +7 Convolutional Sequence to Sequence Learning →Background
- 13:2713:27, 5 November 2017 diff hist +539 Convolutional Sequence to Sequence Learning →References
- 13:2513:25, 5 November 2017 diff hist +186 Convolutional Sequence to Sequence Learning →Background
- 12:5612:56, 5 November 2017 diff hist −93 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 12:5512:55, 5 November 2017 diff hist +12 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 12:5412:54, 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?
- 12:5312:53, 5 November 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 12:5312:53, 5 November 2017 diff hist +49 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 12:5312:53, 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
- 16:5316:53, 4 November 2017 diff hist −1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Critiques
2 November 2017
- 11:0511:05, 2 November 2017 diff hist +123 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 10:4910:49, 2 November 2017 diff hist +1 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DNA motif detection
- 10:4610:46, 2 November 2017 diff hist +59 STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 10:4610:46, 2 November 2017 diff hist +276 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DNA motif detection
- 09:1309:13, 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:
- 09:1209:12, 2 November 2017 diff hist +102 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 09:1209:12, 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:
- 09:1109:11, 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
- 16:0316:03, 31 October 2017 diff hist +259 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:0016:00, 31 October 2017 diff hist −29 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 15:5915:59, 31 October 2017 diff hist +2 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 15:5915:59, 31 October 2017 diff hist +8 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 15:5715:57, 31 October 2017 diff hist −15 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 15:5615:56, 31 October 2017 diff hist +34 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 15:5515:55, 31 October 2017 diff hist +1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations
- 15:5515:55, 31 October 2017 diff hist +28 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 15:5415:54, 31 October 2017 diff hist −12 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 15:5415:54, 31 October 2017 diff hist −13 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 15:5415:54, 31 October 2017 diff hist −3 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 15:5315:53, 31 October 2017 diff hist +14 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 15:5115:51, 31 October 2017 diff hist +30 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables