User contributions for Aravindbk
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30 November 2017
- 14:3714:37, 30 November 2017 diff hist +70 STAT946F17/ Automated Curriculum Learning for Neural Networks →Complexity-driven Progress current
- 14:2914:29, 30 November 2017 diff hist +19 STAT946F17/ Automated Curriculum Learning for Neural Networks →Loss-driven Progress
- 14:2514:25, 30 November 2017 diff hist +2 m STAT946F17/ Automated Curriculum Learning for Neural Networks No edit summary
- 14:2114:21, 30 November 2017 diff hist +123 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Value Network for NMT
- 14:1814:18, 30 November 2017 diff hist +36 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Neural Machine Translation
- 14:0914:09, 30 November 2017 diff hist +1 STAT946F17/Decoding with Value Networks for Neural Machine Translation No edit summary
- 12:0812:08, 30 November 2017 diff hist +106 Learning the Number of Neurons in Deep Networks →Set Up
- 12:0412:04, 30 November 2017 diff hist +149 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
- 12:0212:02, 30 November 2017 diff hist +1 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Adaptive Network Input
- 12:0112:01, 30 November 2017 diff hist +44 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Adaptive Network Input
28 November 2017
- 15:0215:02, 28 November 2017 diff hist +232 STAT946F17/Conditional Image Generation with PixelCNN Decoders →Gated PixelCNN
- 14:5014:50, 28 November 2017 diff hist −4 m STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 14:4014:40, 28 November 2017 diff hist +121 Hierarchical Question-Image Co-Attention for Visual Question Answering →Parallel Co-Attention
- 14:3714:37, 28 November 2017 diff hist +82 Hierarchical Question-Image Co-Attention for Visual Question Answering →Co-Attention Mechanism
- 14:3014:30, 28 November 2017 diff hist +122 Hierarchical Question-Image Co-Attention for Visual Question Answering →Motivation and Main Contributions
- 14:2314:23, 28 November 2017 diff hist +17 m Hierarchical Question-Image Co-Attention for Visual Question Answering No edit summary
- 14:1814:18, 28 November 2017 diff hist +113 Conditional Image Synthesis with Auxiliary Classifier GANs →Motivation
- 14:0814:08, 28 November 2017 diff hist +7 m Conditional Image Synthesis with Auxiliary Classifier GANs No edit summary
23 November 2017
- 14:1414:14, 23 November 2017 diff hist +115 Unsupervised Domain Adaptation with Residual Transfer Networks →Feature Adaptation
- 14:1114:11, 23 November 2017 diff hist +3 Unsupervised Domain Adaptation with Residual Transfer Networks →Residual Transfer Networks
- 13:5313:53, 23 November 2017 diff hist +12 Unsupervised Domain Adaptation with Residual Transfer Networks No edit summary
- 13:4013:40, 23 November 2017 diff hist +189 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Supervised Regression and Classification
- 13:3113:31, 23 November 2017 diff hist −4 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks No edit summary
- 13:1713:17, 23 November 2017 diff hist +343 Deep Exploration via Bootstrapped DQN →Bootstrapped DQN
- 12:3212:32, 23 November 2017 diff hist +7 Deep Exploration via Bootstrapped DQN No edit summary
21 November 2017
- 15:1915:19, 21 November 2017 diff hist +18 Universal Style Transfer via Feature Transforms →Style Transfer
- 15:1815:18, 21 November 2017 diff hist 0 Universal Style Transfer via Feature Transforms →Style Transfer
- 15:1715:17, 21 November 2017 diff hist 0 N File:style transfer table 2.png No edit summary current
- 15:1615:16, 21 November 2017 diff hist +37 Universal Style Transfer via Feature Transforms →Style Transfer
- 15:1315:13, 21 November 2017 diff hist +306 Universal Style Transfer via Feature Transforms →Style Transfer
- 15:0215:02, 21 November 2017 diff hist +235 Universal Style Transfer via Feature Transforms →Conclusion
- 14:5614:56, 21 November 2017 diff hist +29 Universal Style Transfer via Feature Transforms No edit summary
- 14:3114:31, 21 November 2017 diff hist +98 Modular Multitask Reinforcement Learning with Policy Sketches →Ablations
- 14:2914:29, 21 November 2017 diff hist +14 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 14:2914:29, 21 November 2017 diff hist +42 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 14:2714:27, 21 November 2017 diff hist +33 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 14:2214:22, 21 November 2017 diff hist +8 m Modular Multitask Reinforcement Learning with Policy Sketches No edit summary
16 November 2017
- 21:1121:11, 16 November 2017 diff hist +4 Learning the Number of Neurons in Deep Networks No edit summary
- 21:0821:08, 16 November 2017 diff hist +12 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 20:4820:48, 16 November 2017 diff hist +92 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Data Sets Used
- 20:4620:46, 16 November 2017 diff hist +23 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Matching Networks
- 20:2420:24, 16 November 2017 diff hist −1 m STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 20:1020:10, 16 November 2017 diff hist +124 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 19:4019:40, 16 November 2017 diff hist +31 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 19:1519:15, 16 November 2017 diff hist +21 m LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 18:3118:31, 16 November 2017 diff hist +64 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Example 1: Text classification with SVMs
- 17:2917:29, 16 November 2017 diff hist +129 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Sampling for Local Exploration
- 17:2317:23, 16 November 2017 diff hist +149 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Local Interpretable Model-Agnostic Explanations (LIME)
- 17:1617:16, 16 November 2017 diff hist +58 m "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 17:0217:02, 16 November 2017 diff hist +137 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Crowd-sourcing Human Feedback
- 16:4916:49, 16 November 2017 diff hist +60 m STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Phrase-based Image Captioning
- 16:3116:31, 16 November 2017 diff hist −4 m STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback No edit summary
14 November 2017
- 14:5214:52, 14 November 2017 diff hist −1 Imagination-Augmented Agents for Deep Reinforcement Learning →Imagination Core
- 14:4814:48, 14 November 2017 diff hist +144 Imagination-Augmented Agents for Deep Reinforcement Learning →Conclusion
- 14:3814:38, 14 November 2017 diff hist +2 m Imagination-Augmented Agents for Deep Reinforcement Learning No edit summary
- 14:2014:20, 14 November 2017 diff hist −2 m Dialog-based Language Learning No edit summary
- 14:1814:18, 14 November 2017 diff hist +14 Dialog-based Language Learning →Experiments
- 14:1714:17, 14 November 2017 diff hist +97 Dialog-based Language Learning →Experiments
- 14:0814:08, 14 November 2017 diff hist +71 STAT946F17/ Coupled GAN →Experiments
- 14:0014:00, 14 November 2017 diff hist +29 m STAT946F17/ Coupled GAN No edit summary
7 November 2017
- 06:2206:22, 7 November 2017 diff hist +5 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks No edit summary
- 06:1706:17, 7 November 2017 diff hist +18 m Understanding the Effective Receptive Field in Deep Convolutional Neural Networks No edit summary
- 06:0906:09, 7 November 2017 diff hist +1,088 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks No edit summary
- 05:5405:54, 7 November 2017 diff hist +12 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Discussion
- 05:4705:47, 7 November 2017 diff hist +44 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 05:3905:39, 7 November 2017 diff hist +91 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
3 November 2017
- 19:2619:26, 3 November 2017 diff hist +442 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 18:5418:54, 3 November 2017 diff hist +801 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 18:1018:10, 3 November 2017 diff hist +49 m FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:5707:57, 3 November 2017 diff hist −23 m FeUdal Networks for Hierarchical Reinforcement Learning →Experiments
- 07:5507:55, 3 November 2017 diff hist +8 m FeUdal Networks for Hierarchical Reinforcement Learning →Experiments
- 07:5407:54, 3 November 2017 diff hist +2 m FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:5307:53, 3 November 2017 diff hist +4 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:5007:50, 3 November 2017 diff hist −27 m FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:4907:49, 3 November 2017 diff hist −17 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:4707:47, 3 November 2017 diff hist +194 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:4407:44, 3 November 2017 diff hist +4 m FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:4307:43, 3 November 2017 diff hist +2 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:3807:38, 3 November 2017 diff hist +1,015 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:2507:25, 3 November 2017 diff hist +296 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 07:0307:03, 3 November 2017 diff hist +526 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 06:5806:58, 3 November 2017 diff hist 0 N File:feudal figure10.png No edit summary current
- 06:5506:55, 3 November 2017 diff hist 0 N File:feudal figure2.png No edit summary current
- 06:5406:54, 3 November 2017 diff hist 0 N File:feudal figure4.png No edit summary current
- 06:5406:54, 3 November 2017 diff hist 0 N File:feudal figure7.png No edit summary current
- 06:5406:54, 3 November 2017 diff hist 0 N File:feudal figure6.png No edit summary current
- 06:5406:54, 3 November 2017 diff hist 0 N File:feudal figure5.png No edit summary current
- 06:4406:44, 3 November 2017 diff hist 0 N File:feudal figure9.png No edit summary current
- 06:4406:44, 3 November 2017 diff hist 0 N File:feudal figure12.png No edit summary current
- 06:4406:44, 3 November 2017 diff hist 0 N File:feudal figure11.png No edit summary current
- 06:4306:43, 3 November 2017 diff hist 0 N File:feudal figure8.png No edit summary current
- 06:3106:31, 3 November 2017 diff hist +2,446 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 06:0806:08, 3 November 2017 diff hist +6,008 FeUdal Networks for Hierarchical Reinforcement Learning No edit summary
- 04:4704:47, 3 November 2017 diff hist 0 N File:feudal network model diagram.png No edit summary current
- 04:4404:44, 3 November 2017 diff hist +40 N File:model definition.png A set of equations that define the model current
- 04:4304:43, 3 November 2017 diff hist +3,839 N FeUdal Networks for Hierarchical Reinforcement Learning Created page with "== Introduction == Even though deep reinforcement learning has been hugely successful in a variety of domains, it has not been able to succeed in environments which have spar..."
- 04:0404:04, 3 November 2017 diff hist +122 m f17Stat946PaperSignUp →Paper presentation
- 04:0004:00, 3 November 2017 diff hist +6 m f17Stat946PaperSignUp →Paper presentation
1 November 2017
- 22:1922:19, 1 November 2017 diff hist +1 m When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 21:3621:36, 1 November 2017 diff hist −40 m When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
31 October 2017
- 02:0402:04, 31 October 2017 diff hist −25 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition Grammer corrections in Related Work