User contributions for Asriram
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18 November 2017
- 00:2400:24, 18 November 2017 diff hist 0 N File:blindspot.gif No edit summary current
- 00:2400:24, 18 November 2017 diff hist 0 N File:rgb filter.png No edit summary current
- 00:2400:24, 18 November 2017 diff hist 0 N File:masking2.png No edit summary current
- 00:2300:23, 18 November 2017 diff hist 0 N File:masking1.png No edit summary current
- 00:2300:23, 18 November 2017 diff hist 0 N File:single pixel.png No edit summary current
- 00:1000:10, 18 November 2017 diff hist +694 STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 00:0700:07, 18 November 2017 diff hist 0 N File:xi img.png No edit summary current
16 November 2017
- 13:2813:28, 16 November 2017 diff hist +169 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
- 13:2413:24, 16 November 2017 diff hist +130 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Conclusion and Future Work
15 November 2017
- 14:2614:26, 15 November 2017 diff hist +16 STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 13:1913:19, 15 November 2017 diff hist +1,358 STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 12:5012:50, 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..."
- 12:5012:50, 15 November 2017 diff hist +129 f17Stat946PaperSignUp →Paper presentation
14 November 2017
13 November 2017
- 12:4612:46, 13 November 2017 diff hist +646 Imagination-Augmented Agents for Deep Reinforcement Learning →Imagination Core
- 12:3412:34, 13 November 2017 diff hist +638 Dialog-based Language Learning →Introduction
9 November 2017
- 14:3114:31, 9 November 2017 diff hist +798 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 13:3213:32, 9 November 2017 diff hist +540 FeUdal Networks for Hierarchical Reinforcement Learning →Model
- 13:0713:07, 9 November 2017 diff hist +191 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 12:5912:59, 9 November 2017 diff hist +486 Learning the Number of Neurons in Deep Networks →Introduction
7 November 2017
- 12:5712:57, 7 November 2017 diff hist +299 Convolutional Sequence to Sequence Learning →Experimental Setup
- 12:5212:52, 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
- 12:3212:32, 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
- 12:0612:06, 2 November 2017 diff hist −67 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
- 12:0412:04, 2 November 2017 diff hist +208 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT Philosophy
- 12:0112:01, 2 November 2017 diff hist +2 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
30 October 2017
- 22:4922:49, 30 October 2017 diff hist +474 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Related Work
25 October 2017
- 13:1213:12, 25 October 2017 diff hist −1 Learning What and Where to Draw →Introduction
- 13:1213:12, 25 October 2017 diff hist +595 Learning What and Where to Draw →Introduction
- 12:5312:53, 25 October 2017 diff hist +5 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 12:5212:52, 25 October 2017 diff hist +360 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 12:3312:33, 25 October 2017 diff hist −1 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Methodology
- 12:3312:33, 25 October 2017 diff hist +601 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Methodology
20 October 2017
- 22:5322:53, 20 October 2017 diff hist −2 f17Stat946PaperSignUp →Paper presentation
- 10:5810:58, 20 October 2017 diff hist +1 f17Stat946PaperSignUp →Paper presentation
- 10:5810:58, 20 October 2017 diff hist −3 f17Stat946PaperSignUp →Paper presentation