User contributions for J823zhan
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26 November 2018
- 21:3721:37, 26 November 2018 diff hist −1 CapsuleNets →Notation
- 21:2621:26, 26 November 2018 diff hist −17 CapsuleNets →Critique
- 21:1621:16, 26 November 2018 diff hist +647 Visual Reinforcement Learning with Imagined Goals →References
- 21:1221:12, 26 November 2018 diff hist +149 Visual Reinforcement Learning with Imagined Goals →Related Work
22 November 2018
- 17:3217:32, 22 November 2018 diff hist +151 stat946F18 →Record your contributions here [https://docs.google.com/spreadsheets/d/1SxkjNfhOg_eXWpUnVHuIP93E6tEiXEdpm68dQGencgE/edit?usp=sharing]
- 17:3017:30, 22 November 2018 diff hist +8,763 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series No edit summary
- 16:3716:37, 22 November 2018 diff hist 0 N File:Junyi8.png No edit summary current
- 16:1516:15, 22 November 2018 diff hist 0 N File:Junyi7.png No edit summary current
- 16:0516:05, 22 November 2018 diff hist 0 File:Junyi6.png J823zhan uploaded a new version of File:Junyi6.png current
- 16:0416:04, 22 November 2018 diff hist 0 N File:Junyi6.png No edit summary
- 15:3715:37, 22 November 2018 diff hist 0 N File:Junyi5.png No edit summary current
- 15:1715:17, 22 November 2018 diff hist 0 N File:Junyi4.png No edit summary current
- 13:1013:10, 22 November 2018 diff hist 0 N File:Junyi3.png No edit summary current
- 04:2504:25, 22 November 2018 diff hist +1,306 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series No edit summary
- 03:0403:04, 22 November 2018 diff hist −318 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Time series forecasting
- 02:5102:51, 22 November 2018 diff hist +356 Unsupervised Neural Machine Translation →References
- 02:5102:51, 22 November 2018 diff hist +794 Unsupervised Neural Machine Translation [T: add info] →Other related work and inspirations
- 02:1402:14, 22 November 2018 diff hist +510 conditional neural process [T: related work]→Meta Learning
- 02:0002:00, 22 November 2018 diff hist +134 conditional neural process [T:add info]→Model
- 01:4001:40, 22 November 2018 diff hist +38 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction [E]→Introduction
- 01:3401:34, 22 November 2018 diff hist +1 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction [E]→Introduction
- 00:5800:58, 22 November 2018 diff hist +1 m Learning to Navigate in Cities Without a Map →Reference
- 00:5700:57, 22 November 2018 diff hist +111 Learning to Navigate in Cities Without a Map [add reference for my modification]→References
- 00:5400:54, 22 November 2018 diff hist +499 Learning to Navigate in Cities Without a Map [T]→Methods
21 November 2018
- 22:2622:26, 21 November 2018 diff hist +9,445 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series No edit summary
- 16:5616:56, 21 November 2018 diff hist 0 N File:Junyi2.png No edit summary current
- 00:2000:20, 21 November 2018 diff hist +1,094 policy optimization with demonstrations [T: add info in results]→Results
20 November 2018
- 19:0219:02, 20 November 2018 diff hist 0 N File:Junyi1.png No edit summary current
- 18:5918:59, 20 November 2018 diff hist 0 File:1.png J823zhan uploaded a new version of File:1.png
- 16:5916:59, 20 November 2018 diff hist +6 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Introduction
- 16:5716:57, 20 November 2018 diff hist +2,097 N stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series Created page with "This page is a summary of the paper "[http://proceedings.mlr.press/v80/binkowski18a/binkowski18a.pdf Autoregressive Convolutional Neural Networks for Asynchronous Time Series]..."
- 15:3515:35, 20 November 2018 diff hist −15 Talk:stat946F18 Blanked the page current
- 15:2615:26, 20 November 2018 diff hist +15 N Talk:stat946F18 Created page with "lllllaaaaaaaaaa"
- 00:5600:56, 20 November 2018 diff hist +569 Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples →References
- 00:4900:49, 20 November 2018 diff hist +37 m Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples →Obfuscated Gradients
- 00:4700:47, 20 November 2018 diff hist +217 Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples [T,E]→Obfuscated Gradients
- 00:0500:05, 20 November 2018 diff hist +138 Countering Adversarial Images Using Input Transformations [T]→Defenses
19 November 2018
- 23:3923:39, 19 November 2018 diff hist +7 Countering Adversarial Images Using Input Transformations →Adversarial Attacks
- 23:3623:36, 19 November 2018 diff hist +129 Countering Adversarial Images Using Input Transformations →Adversarial Attacks
- 23:2823:28, 19 November 2018 diff hist −28 Countering Adversarial Images Using Input Transformations →Problem Definition
- 23:2023:20, 19 November 2018 diff hist 0 m Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias →Learning the latent noise model
- 23:1923:19, 19 November 2018 diff hist +155 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias →Learning the latent noise model
- 23:1223:12, 19 November 2018 diff hist +83 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias →Modeling noise as latent variable
- 22:3922:39, 19 November 2018 diff hist +20 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias →Grasping Formulation
- 22:0822:08, 19 November 2018 diff hist +91 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias [T: add info]→Learning on low-cost robot data
15 November 2018
- 05:2505:25, 15 November 2018 diff hist +216 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin [T]→Bin-Level \alpha-attention
- 05:1405:14, 15 November 2018 diff hist +29 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin →Bin-Level \alpha-attention
- 05:1305:13, 15 November 2018 diff hist +167 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin [T]→Bin-Level Encoder (one LSTM for each HM)
- 04:4204:42, 15 November 2018 diff hist +346 MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION [T: add info to conditional GAN]→Background
- 03:3503:35, 15 November 2018 diff hist +374 Reinforcement Learning of Theorem Proving →References