User contributions for Asriram
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17 November 2017
- 23:2423:24, 17 November 2017 diff hist 0 N File:blindspot.gif No edit summary current
- 23:2423:24, 17 November 2017 diff hist 0 N File:rgb filter.png No edit summary current
- 23:2423:24, 17 November 2017 diff hist 0 N File:masking2.png No edit summary current
- 23:2323:23, 17 November 2017 diff hist 0 N File:masking1.png No edit summary current
- 23:2323:23, 17 November 2017 diff hist 0 N File:single pixel.png No edit summary current
- 23:1023:10, 17 November 2017 diff hist +694 STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 23:0723:07, 17 November 2017 diff hist 0 N File:xi img.png No edit summary current
16 November 2017
- 12:2812:28, 16 November 2017 diff hist +169 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
- 12:2412:24, 16 November 2017 diff hist +130 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Conclusion and Future Work
15 November 2017
- 13:2613:26, 15 November 2017 diff hist +16 STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 12:1912:19, 15 November 2017 diff hist +1,358 STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 11:5011:50, 15 November 2017 diff hist +2,129 N STAT946F17/Conditional Image Generation with PixelCNN Decoders Created page with "=Introduction= This works is based of the widely used PixelCNN and PixelRNN, introduced by Oord et al. in [1]. From the previous work, the authors observed that..."
- 11:5011:50, 15 November 2017 diff hist +129 f17Stat946PaperSignUp →Paper presentation
14 November 2017
13 November 2017
- 11:4611:46, 13 November 2017 diff hist +646 Imagination-Augmented Agents for Deep Reinforcement Learning →Imagination Core
- 11:3411:34, 13 November 2017 diff hist +638 Dialog-based Language Learning →Introduction
9 November 2017
- 13:3113:31, 9 November 2017 diff hist +798 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 12:3212:32, 9 November 2017 diff hist +540 FeUdal Networks for Hierarchical Reinforcement Learning →Model
- 12:0712:07, 9 November 2017 diff hist +191 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 11:5911:59, 9 November 2017 diff hist +486 Learning the Number of Neurons in Deep Networks →Introduction
7 November 2017
- 11:5711:57, 7 November 2017 diff hist +299 Convolutional Sequence to Sequence Learning →Experimental Setup
- 11:5211:52, 7 November 2017 diff hist +536 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →What is the Receptive Field (RF) of a unit?
2 November 2017
- 11:3211:32, 2 November 2017 diff hist +312 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Some Basic Concepts and Issues
- 11:0611:06, 2 November 2017 diff hist −67 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 11:0411:04, 2 November 2017 diff hist +208 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT Philosophy
- 11:0111:01, 2 November 2017 diff hist +2 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
30 October 2017
- 21:4921:49, 30 October 2017 diff hist +474 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Related Work
25 October 2017
- 12:1212:12, 25 October 2017 diff hist −1 Learning What and Where to Draw →Introduction
- 12:1212:12, 25 October 2017 diff hist +595 Learning What and Where to Draw →Introduction
- 11:5311:53, 25 October 2017 diff hist +5 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 11:5211:52, 25 October 2017 diff hist +360 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 11:3311:33, 25 October 2017 diff hist −1 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Methodology
- 11:3311:33, 25 October 2017 diff hist +601 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Methodology
20 October 2017
- 21:5321:53, 20 October 2017 diff hist −2 f17Stat946PaperSignUp →Paper presentation
- 09:5809:58, 20 October 2017 diff hist +1 f17Stat946PaperSignUp →Paper presentation
- 09:5809:58, 20 October 2017 diff hist −3 f17Stat946PaperSignUp →Paper presentation