User contributions for A2prasad

19 November 2017

• 20:5620:56, 19 November 2017 diff hist +176‎ Universal Style Transfer via Feature Transforms ‎ →‎Additional Results and Figures
• 20:5320:53, 19 November 2017 diff hist +3‎ Universal Style Transfer via Feature Transforms ‎ →‎Additional Results and Figures
• 20:5320:53, 19 November 2017 diff hist 0‎ Universal Style Transfer via Feature Transforms ‎ →‎Additional Results and Figures
• 20:5320:53, 19 November 2017 diff hist +98‎ Universal Style Transfer via Feature Transforms ‎No edit summary
• 20:5220:52, 19 November 2017 diff hist 0‎ N File:style-3.PNG ‎No edit summary current
• 20:5120:51, 19 November 2017 diff hist 0‎ N File:style-2.PNG ‎No edit summary current
• 20:4820:48, 19 November 2017 diff hist 0‎ N File:style-1.PNG ‎No edit summary current
• 20:2020:20, 19 November 2017 diff hist +207‎ Modular Multitask Reinforcement Learning with Policy Sketches ‎ →‎Conclusion & Critique

15 November 2017

• 22:0422:04, 15 November 2017 diff hist +69‎ STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback ‎ →‎Crowd-sourcing Human Feedback
• 22:0122:01, 15 November 2017 diff hist 0‎ STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback ‎ →‎Crowd-sourcing Human Feedback
• 22:0022:00, 15 November 2017 diff hist +92‎ STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback ‎ →‎Crowd-sourcing Human Feedback
• 21:5621:56, 15 November 2017 diff hist 0‎ N File:teaching 1.PNG ‎No edit summary current
• 21:1021:10, 15 November 2017 diff hist +502‎ LightRNN: Memory and Computation-Efficient Recurrent Neural Networks ‎ →‎Remarks

14 November 2017

• 15:1015:10, 14 November 2017 diff hist +165‎ Imagination-Augmented Agents for Deep Reinforcement Learning ‎ →‎A Training and the rollout policy distribution details
• 15:0515:05, 14 November 2017 diff hist +144‎ Imagination-Augmented Agents for Deep Reinforcement Learning ‎ →‎Experiments
• 15:0215:02, 14 November 2017 diff hist 0‎ N File:imagination-946.PNG ‎No edit summary current

7 November 2017

• 22:4722:47, 7 November 2017 diff hist −28‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Matching Networks
• 22:4622:46, 7 November 2017 diff hist +1‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Matching Networks
• 22:4522:45, 7 November 2017 diff hist +117‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Matching Networks
• 22:4222:42, 7 November 2017 diff hist +1‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Training MN
• 22:4122:41, 7 November 2017 diff hist −30‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Training MN
• 22:4122:41, 7 November 2017 diff hist −2‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Training MN
• 22:4122:41, 7 November 2017 diff hist +12‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Training MN
• 22:4122:41, 7 November 2017 diff hist +12‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Training MN
• 22:4022:40, 7 November 2017 diff hist −1‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Training MN
• 22:3922:39, 7 November 2017 diff hist +99‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Training MN
• 21:5321:53, 7 November 2017 diff hist +155‎ FeUdal Networks for Hierarchical Reinforcement Learning ‎ →‎References
• 19:4419:44, 7 November 2017 diff hist +191‎ Learning the Number of Neurons in Deep Networks ‎ →‎Related Work
• 19:4019:40, 7 November 2017 diff hist +2‎ Learning the Number of Neurons in Deep Networks ‎ →‎References
• 19:4019:40, 7 November 2017 diff hist +146‎ Learning the Number of Neurons in Deep Networks ‎ →‎References
• 19:3519:35, 7 November 2017 diff hist +1‎ Learning the Number of Neurons in Deep Networks ‎ →‎Results
• 19:3119:31, 7 November 2017 diff hist +10‎ Learning the Number of Neurons in Deep Networks ‎ →‎Critique
• 19:3019:30, 7 November 2017 diff hist +373‎ Learning the Number of Neurons in Deep Networks ‎ →‎Critique

5 November 2017

• 19:4719:47, 5 November 2017 diff hist +3‎ STAT946F17/ Coupled GAN ‎ →‎MNIST Dataset
• 19:4519:45, 5 November 2017 diff hist +7‎ STAT946F17/ Coupled GAN ‎ →‎Generator Models
• 18:0618:06, 5 November 2017 diff hist +148‎ Convolutional Sequence to Sequence Learning ‎ →‎Datasets
• 18:0318:03, 5 November 2017 diff hist +68‎ Convolutional Sequence to Sequence Learning ‎ →‎Datasets
• 18:0018:00, 5 November 2017 diff hist +69‎ Convolutional Sequence to Sequence Learning ‎ →‎References
• 17:5017:50, 5 November 2017 diff hist +94‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Simplest case: Stack of convolutional layers of weights equal to 1
• 17:4917:49, 5 November 2017 diff hist +4‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Simplest case: Stack of convolutional layers of weights equal to 1
• 17:4817:48, 5 November 2017 diff hist −6‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Simplest case: Stack of convolutional layers of weights equal to 1
• 17:4817:48, 5 November 2017 diff hist +8‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Simplest case: Stack of convolutional layers of weights equal to 1
• 17:4717:47, 5 November 2017 diff hist −2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Simplest case: Stack of convolutional layers of weights equal to 1
• 17:4717:47, 5 November 2017 diff hist +621‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Simplest case: Stack of convolutional layers of weights equal to 1
• 17:3317:33, 5 November 2017 diff hist −2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 17:3217:32, 5 November 2017 diff hist +179‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 16:3416:34, 5 November 2017 diff hist +1‎ meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎ →‎Results
• 16:3316:33, 5 November 2017 diff hist +229‎ meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎ →‎Results
• 16:2216:22, 5 November 2017 diff hist 0‎ meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎ →‎List of Tables
• 16:2116:21, 5 November 2017 diff hist +19‎ meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎ →‎List of Tables