User contributions for A22ravi
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7 December 2018
- 09:1109:11, 7 December 2018 diff hist +218 DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering →Overview of previous work: Attention models intuition references added
6 December 2018
- 08:2308:23, 6 December 2018 diff hist +80 DeepVO Towards end to end visual odometry with deep RNN →Training and Optimization
- 08:2008:20, 6 December 2018 diff hist +429 DeepVO Towards end to end visual odometry with deep RNN →Architecture Overview
5 December 2018
- 09:2409:24, 5 December 2018 diff hist +546 a neural representation of sketch drawings →Related Work
- 00:3300:33, 5 December 2018 diff hist +1 DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS →Highe-order interatcion detection
4 December 2018
- 21:5821:58, 4 December 2018 diff hist −11 conditional neural process →Motivation
- 21:3121:31, 4 December 2018 diff hist +33 Countering Adversarial Images Using Input Transformations →Terminology
- 21:2821:28, 4 December 2018 diff hist +2 Countering Adversarial Images Using Input Transformations →Terminology
- 21:2721:27, 4 December 2018 diff hist +230 Countering Adversarial Images Using Input Transformations →References
- 21:2621:26, 4 December 2018 diff hist +341 Countering Adversarial Images Using Input Transformations →Terminology
- 21:1521:15, 4 December 2018 diff hist −2 Countering Adversarial Images Using Input Transformations →Problem Definition
- 14:5214:52, 4 December 2018 diff hist +224 Synthesizing Programs for Images usingReinforced Adversarial Learning →Critique and Future Work
- 14:5214:52, 4 December 2018 diff hist 0 Synthesizing Programs for Images usingReinforced Adversarial Learning →Cririque and Future Work
- 14:3514:35, 4 December 2018 diff hist +195 Annotating Object Instances with a Polygon RNN →Evaluation Metrics
- 14:3314:33, 4 December 2018 diff hist 0 N File:IoU figure.png No edit summary current
3 December 2018
- 03:1003:10, 3 December 2018 diff hist 0 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Search Strategy
- 03:0903:09, 3 December 2018 diff hist +151 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Search Strategy
- 03:0803:08, 3 December 2018 diff hist +139 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →References
- 03:0503:05, 3 December 2018 diff hist −1 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →What they used in this paper
- 03:0503:05, 3 December 2018 diff hist +517 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →What they used in this paper
- 02:5302:53, 3 December 2018 diff hist 0 N File:NAS fig2.png No edit summary current
- 02:3902:39, 3 December 2018 diff hist +779 Co-Teaching →Future Work
- 02:3202:32, 3 December 2018 diff hist +12 Co-Teaching →Critique
2 December 2018
- 23:5923:59, 2 December 2018 diff hist +89 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Critique
- 23:5823:58, 2 December 2018 diff hist +15 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Critique
- 23:5723:57, 2 December 2018 diff hist +582 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Critique
- 23:4623:46, 2 December 2018 diff hist +13 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Method
- 23:4423:44, 2 December 2018 diff hist +38 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Introduction
- 23:4223:42, 2 December 2018 diff hist +5 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Method
- 19:3719:37, 2 December 2018 diff hist −485 stat946w18/Towards Image Understanding From Deep Compression Without Decoding Undo revision 42128 by R82zhang (talk)
- 19:3119:31, 2 December 2018 diff hist +3 Fix your classifier: the marginal value of training the last weight layer →Using a Hadmard Matrix
- 19:3119:31, 2 December 2018 diff hist +116 Fix your classifier: the marginal value of training the last weight layer →Using a Hadmard Matrix
- 19:2019:20, 2 December 2018 diff hist −1,122 Fix your classifier: the marginal value of training the last weight layer →Introduction: - Repeated in the previous work section
- 19:1919:19, 2 December 2018 diff hist +346 Fix your classifier: the marginal value of training the last weight layer →Previous Work
- 19:1119:11, 2 December 2018 diff hist −3 Fix your classifier: the marginal value of training the last weight layer →Introduction
30 November 2018
- 07:0307:03, 30 November 2018 diff hist +7 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →CONCLUSIONS
- 07:0207:02, 30 November 2018 diff hist +56 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →CONCLUSIONS
- 06:5606:56, 30 November 2018 diff hist +54 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →STOCHASTIC GRADIENT DESCENT AND CONVEX OPTIMIZATION
- 06:5406:54, 30 November 2018 diff hist +1 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →STOCHASTIC GRADIENT DESCENT AND CONVEX OPTIMIZATION
- 06:5206:52, 30 November 2018 diff hist +50 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →INTRODUCTION
- 06:5006:50, 30 November 2018 diff hist +35 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →INTRODUCTION
27 November 2018
- 13:3813:38, 27 November 2018 diff hist +7 a neural representation of sketch drawings →Experiments
- 13:3213:32, 27 November 2018 diff hist +64 learn what not to learn →Introduction
- 13:2613:26, 27 November 2018 diff hist +10 learn what not to learn →Psuedocode of the Algorithm
- 13:2513:25, 27 November 2018 diff hist 0 N File:lnottol fig2.png No edit summary current