User contributions for Amanjhunjhunwala

9 November 2017

• 12:2012:20, 9 November 2017 diff hist +21‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎ →‎Inception Networks
• 12:0912:09, 9 November 2017 diff hist +13‎ Learning the Number of Neurons in Deep Networks ‎ →‎Introduction

6 November 2017

• 15:3615:36, 6 November 2017 diff hist +94‎ FeUdal Networks for Hierarchical Reinforcement Learning ‎ →‎Conclusion
• 15:2215:22, 6 November 2017 diff hist −5‎ Convolutional Sequence to Sequence Learning ‎ →‎Background
• 15:2215:22, 6 November 2017 diff hist +4‎ Convolutional Sequence to Sequence Learning ‎ →‎Background
• 15:2115:21, 6 November 2017 diff hist +542‎ Convolutional Sequence to Sequence Learning ‎ →‎Background
• 15:0215:02, 6 November 2017 diff hist +2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎What is the Receptive Field (RF) of a unit?
• 15:0115:01, 6 November 2017 diff hist +241‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎What is the Receptive Field (RF) of a unit?
• 14:5614:56, 6 November 2017 diff hist +83‎ meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎ →‎Experiments and Configurations
• 14:3614:36, 6 November 2017 diff hist +15‎ meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎ →‎Experiments and Configurations

2 November 2017

• 08:5508:55, 2 November 2017 diff hist −2‎ STAT946F17/ Learning Important Features Through Propagating Activation Differences ‎ →‎Introduction
• 08:5408:54, 2 November 2017 diff hist +80‎ STAT946F17/ Learning Important Features Through Propagating Activation Differences ‎ →‎Introduction

31 October 2017

• 12:1512:15, 31 October 2017 diff hist +5‎ f17Stat946PaperSignUp ‎No edit summary

30 October 2017

• 16:1816:18, 30 October 2017 diff hist +83‎ Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition ‎ →‎References

26 October 2017

• 11:2611:26, 26 October 2017 diff hist 0‎ Learning What and Where to Draw ‎ →‎Experiments
• 11:2411:24, 26 October 2017 diff hist +16‎ STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN ‎ →‎Evaluation
• 11:2211:22, 26 October 2017 diff hist −15‎ STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow ‎ →‎Black-box Variational Inference
• 11:1811:18, 26 October 2017 diff hist −16‎ STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow ‎ →‎References
• 11:1611:16, 26 October 2017 diff hist −32‎ Learning What and Where to Draw ‎ →‎References
• 11:1611:16, 26 October 2017 diff hist +220‎ Learning What and Where to Draw ‎ →‎References
• 11:1511:15, 26 October 2017 diff hist −230‎ Learning What and Where to Draw ‎ →‎Background Knowledge
• 11:1211:12, 26 October 2017 diff hist +97‎ STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow ‎ →‎Implementation
• 11:0711:07, 26 October 2017 diff hist −1,252‎ Curiosity-driven Exploration by Self-supervised Prediction ‎ →‎Abstract current
• 11:0311:03, 26 October 2017 diff hist +44‎ STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN ‎ →‎Resources

2 October 2017

• 13:0913:09, 2 October 2017 diff hist +1,252‎ N Curiosity-driven Exploration by Self-supervised Prediction ‎ Created page with " == Abstract == ---- In many real-world scenarios, rewards extrinsic to the agent are extremely sparse, or absent altogether. In such cases, curiosity can serve as an intri..."
• 13:0013:00, 2 October 2017 diff hist +210‎ f17Stat946PaperSignUp ‎ AJ