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9 November 2017
- 11:5711:57, 9 November 2017 diff hist −64 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 11:5711:57, 9 November 2017 diff hist +69 FeUdal Networks for Hierarchical Reinforcement Learning →References
- 11:5611:56, 9 November 2017 diff hist +2 FeUdal Networks for Hierarchical Reinforcement Learning →Experiments
- 11:5511:55, 9 November 2017 diff hist −25 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 11:5411:54, 9 November 2017 diff hist −63 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 11:5411:54, 9 November 2017 diff hist +329 FeUdal Networks for Hierarchical Reinforcement Learning →Transition Policy Gradient
- 11:4911:49, 9 November 2017 diff hist −2 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 10:3710:37, 9 November 2017 diff hist +4 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Cognitive Biases
- 10:3610:36, 9 November 2017 diff hist +16 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 10:3610:36, 9 November 2017 diff hist +65 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 10:3510:35, 9 November 2017 diff hist +313 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Cognitive Biases
- 10:1810:18, 9 November 2017 diff hist +1 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Introduction
5 November 2017
- 14:4314:43, 5 November 2017 diff hist +1 Convolutional Sequence to Sequence Learning →Introduction
- 14:4114:41, 5 November 2017 diff hist +3 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Introduction
- 14:2814:28, 5 November 2017 diff hist +7 Convolutional Sequence to Sequence Learning →Background
- 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?