User contributions for Jdeng
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23 November 2017
- 01:3501:35, 23 November 2017 diff hist +5,904 STAT946F17/ Automated Curriculum Learning for Neural Networks No edit summary
- 01:2601:26, 23 November 2017 diff hist 0 N File:alg.png No edit summary current
- 01:2501:25, 23 November 2017 diff hist +5,273 N STAT946F17/ Automated Curriculum Learning for Neural Networks Created page with "= Introduction = Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more co..."
21 November 2017
- 15:1515:15, 21 November 2017 diff hist +341 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks No edit summary
- 14:5614:56, 21 November 2017 diff hist +155 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
- 14:3814:38, 21 November 2017 diff hist +167 Deep Exploration via Bootstrapped DQN →Why use Bernoulli?
16 November 2017
- 14:4714:47, 16 November 2017 diff hist +82 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 14:4614:46, 16 November 2017 diff hist +113 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
14 November 2017
- 15:0215:02, 14 November 2017 diff hist +164 Dialog-based Language Learning →Future work
- 14:4814:48, 14 November 2017 diff hist +1 Dialog-based Language Learning →Experiments
- 14:3014:30, 14 November 2017 diff hist +697 STAT946F17/ Coupled GAN →Experiments
9 November 2017
- 15:1015:10, 9 November 2017 diff hist +344 Learning the Number of Neurons in Deep Networks →Critique
- 14:1914:19, 9 November 2017 diff hist +11 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
7 November 2017
- 15:1215:12, 7 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Reduce Gaussian Damage current
- 15:1115:11, 7 November 2017 diff hist +221 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 15:0815:08, 7 November 2017 diff hist +294 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Reduce Gaussian Damage
2 November 2017
- 14:0014:00, 2 November 2017 diff hist +38 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Lasso Regression and Model Selection:
- 13:5913:59, 2 November 2017 diff hist 0 N File:lasso.jpg No edit summary current
- 13:5713:57, 2 November 2017 diff hist +542 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Lasso Regression and Model Selection:
24 October 2017
- 22:4522:45, 24 October 2017 diff hist +786 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →3D-VAE-GANs
- 16:5716:57, 24 October 2017 diff hist +88 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 16:5516:55, 24 October 2017 diff hist −220 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 16:3016:30, 24 October 2017 diff hist −309 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 16:2116:21, 24 October 2017 diff hist +362 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 16:0616:06, 24 October 2017 diff hist −23 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 15:4015:40, 24 October 2017 diff hist −52 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference
- 15:3615:36, 24 October 2017 diff hist +1,087 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference