User contributions for Ashishgaurav
A user with 78 edits. Account created on 25 September 2017.
30 November 2017
- 13:1913:19, 30 November 2017 diff hist +85 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Introduction current
- 13:1613:16, 30 November 2017 diff hist +29 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Deep Alternative Neural Network:
- 13:0413:04, 30 November 2017 diff hist +640 STAT946F17/Conditional Image Generation with PixelCNN Decoders →Critique
- 12:5312:53, 30 November 2017 diff hist +199 STAT946F17/ Automated Curriculum Learning for Neural Networks →Conclusion
- 12:4712:47, 30 November 2017 diff hist +16 STAT946F17/ Automated Curriculum Learning for Neural Networks No edit summary
- 12:3712:37, 30 November 2017 diff hist +193 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Value Network for NMT
- 12:1612:16, 30 November 2017 diff hist +20 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Neural Machine Translation
28 November 2017
- 15:0215:02, 28 November 2017 diff hist +248 Hierarchical Question-Image Co-Attention for Visual Question Answering →Ablation Study
- 13:1213:12, 28 November 2017 diff hist +103 Hierarchical Question-Image Co-Attention for Visual Question Answering No edit summary
- 13:0613:06, 28 November 2017 diff hist +413 Conditional Image Synthesis with Auxiliary Classifier GANs No edit summary
20 November 2017
- 21:2621:26, 20 November 2017 diff hist −48 Deep Exploration via Bootstrapped DQN No edit summary
19 November 2017
- 22:5222:52, 19 November 2017 diff hist +98 Deep Exploration via Bootstrapped DQN No edit summary
- 17:5817:58, 19 November 2017 diff hist +4 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
- 17:5617:56, 19 November 2017 diff hist +2 Deep Exploration via Bootstrapped DQN →Double Deep Q Learning
- 17:5617:56, 19 November 2017 diff hist +35 Deep Exploration via Bootstrapped DQN →How does Double Q Learning work? [[#References|[9]]]
- 05:4305:43, 19 November 2017 diff hist +4,496 Deep Exploration via Bootstrapped DQN No edit summary
- 05:1705:17, 19 November 2017 diff hist +10 N File:cumulative rewards bdqn.png this paper current
- 05:0305:03, 19 November 2017 diff hist +10 N File:bdqn improvement.png this paper current
- 04:5704:57, 19 November 2017 diff hist +10 N File:atari results bootstrapped dqn.png this paper current
- 04:3504:35, 19 November 2017 diff hist +10 N File:scale k p.png this paper current
- 04:2404:24, 19 November 2017 diff hist +1,978 Deep Exploration via Bootstrapped DQN No edit summary
- 04:0104:01, 19 November 2017 diff hist +10 N File:deep exploration results.png this paper current
- 03:5403:54, 19 November 2017 diff hist +10 N File:deep exploration example.png from paper current
- 03:3203:32, 19 November 2017 diff hist +1,589 Deep Exploration via Bootstrapped DQN No edit summary
- 02:5602:56, 19 November 2017 diff hist +2,672 Deep Exploration via Bootstrapped DQN No edit summary
- 01:2901:29, 19 November 2017 diff hist +2,293 Deep Exploration via Bootstrapped DQN No edit summary
18 November 2017
- 23:0023:00, 18 November 2017 diff hist +15 Deep Exploration via Bootstrapped DQN →Deep Q Learning [[#References|[5]]]
- 22:5622:56, 18 November 2017 diff hist +6,372 Deep Exploration via Bootstrapped DQN No edit summary
- 20:4720:47, 18 November 2017 diff hist +108 N File:DQN arch.png https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/image_folder_7/DQNBreakoutBlocks.png current
17 November 2017
- 18:5918:59, 17 November 2017 diff hist +34 Deep Exploration via Bootstrapped DQN →Status: In Progress
16 November 2017
- 12:4612:46, 16 November 2017 diff hist −4 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 12:4612:46, 16 November 2017 diff hist +4 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →LightRNN Structure
- 12:4612:46, 16 November 2017 diff hist +3 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Motivations
- 12:3912:39, 16 November 2017 diff hist +171 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →References
- 12:3712:37, 16 November 2017 diff hist +4 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Remarks and Critique
- 12:2612:26, 16 November 2017 diff hist 0 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Desired Characteristics for Explanations
- 11:3011:30, 16 November 2017 diff hist +445 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback No edit summary
- 11:1711:17, 16 November 2017 diff hist +12 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Crowd-sourcing Human Feedback
- 11:1411:14, 16 November 2017 diff hist +168 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →References
- 11:1411:14, 16 November 2017 diff hist +158 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Related Works
- 01:0401:04, 16 November 2017 diff hist +1,444 Deep Exploration via Bootstrapped DQN No edit summary
- 00:2100:21, 16 November 2017 diff hist +76 N File:dropout results.png From https://papers.nips.cc/paper/6501-deep-exploration-via-bootstrapped-dqn current
15 November 2017
- 22:4822:48, 15 November 2017 diff hist +1,652 Deep Exploration via Bootstrapped DQN No edit summary
- 20:2620:26, 15 November 2017 diff hist +3,336 Deep Exploration via Bootstrapped DQN →Gist
- 14:3614:36, 15 November 2017 diff hist +64 N File:thompson sampling coin example.png https://www.quora.com/What-is-Thompson-sampling-in-laymans-terms current
- 13:3813:38, 15 November 2017 diff hist +66 N File:multiarmedbandit.jpg https://blogs.mathworks.com/images/loren/2016/multiarmedbandit.jpg current
14 November 2017
- 12:3812:38, 14 November 2017 diff hist +1 Imagination-Augmented Agents for Deep Reinforcement Learning →Experiment
- 12:3712:37, 14 November 2017 diff hist +918 Imagination-Augmented Agents for Deep Reinforcement Learning No edit summary
- 11:5711:57, 14 November 2017 diff hist −4 Dialog-based Language Learning →Training strategies
- 11:4411:44, 14 November 2017 diff hist +20 Dialog-based Language Learning →Dialog-based Supervision tasks
- 04:2804:28, 14 November 2017 diff hist +2 STAT946F17/ Coupled GAN →Coupled GAN (CoGAN) Framework and Learning
- 04:2704:27, 14 November 2017 diff hist +3 STAT946F17/ Coupled GAN →Coupled GAN (CoGAN) Framework and Learning
- 04:2604:26, 14 November 2017 diff hist +135 STAT946F17/ Coupled GAN →References and Supplementary Resources
- 04:2004:20, 14 November 2017 diff hist 0 m STAT946F17/ Coupled GAN →Coupled GAN (CoGAN) Framework and Learning
9 November 2017
- 12:3112:31, 9 November 2017 diff hist +16 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Modeling human word learning
- 12:3112:31, 9 November 2017 diff hist +636 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 12:2412:24, 9 November 2017 diff hist +50 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Data Sets Used
- 12:1912:19, 9 November 2017 diff hist +9 FeUdal Networks for Hierarchical Reinforcement Learning →Conclusion
- 12:1112:11, 9 November 2017 diff hist +139 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 12:0612:06, 9 November 2017 diff hist +132 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 11:3711:37, 9 November 2017 diff hist +11 Learning the Number of Neurons in Deep Networks →Conclusion
- 11:3711:37, 9 November 2017 diff hist 0 Learning the Number of Neurons in Deep Networks →Analysis on Testing
- 11:3411:34, 9 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Introduction
- 11:3411:34, 9 November 2017 diff hist +20 Learning the Number of Neurons in Deep Networks No edit summary
7 November 2017
- 13:3113:31, 7 November 2017 diff hist +18 Convolutional Sequence to Sequence Learning →Results
- 13:2713:27, 7 November 2017 diff hist +80 Convolutional Sequence to Sequence Learning →Background
- 13:1213:12, 7 November 2017 diff hist +346 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 11:3311:33, 7 November 2017 diff hist +11 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 11:2111:21, 7 November 2017 diff hist +50 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
2 November 2017
- 03:5803:58, 2 November 2017 diff hist +113 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary add eqn 10 that gives the value of y_i in eqn 9
31 October 2017
- 11:2911:29, 31 October 2017 diff hist +115 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition add caffe implementation link to cifar10_quick
26 October 2017
- 12:5412:54, 26 October 2017 diff hist +27 Deep Exploration via Bootstrapped DQN edited summary a bit
2 October 2017
- 14:0814:08, 2 October 2017 diff hist +958 N Deep Exploration via Bootstrapped DQN added abstract
- 14:0714:07, 2 October 2017 diff hist −21 f17Stat946PaperSignUp →Paper presentation
- 14:0714:07, 2 October 2017 diff hist +73 f17Stat946PaperSignUp →Paper presentation
- 14:0214:02, 2 October 2017 diff hist −1 f17Stat946PaperSignUp →Paper presentation
- 14:0214:02, 2 October 2017 diff hist +122 f17Stat946PaperSignUp →Paper presentation
- 14:0014:00, 2 October 2017 diff hist +13 f17Stat946PaperSignUp No edit summary