Label-Free Supervision of Neural Networks with Physics and Domain Knowledge: Revision history

21 April 2018

• curprev 00:0400:04, 21 April 2018‎ F7xia talk contribs‎ 21,530 bytes +1,070‎ No edit summary

20 April 2018

• curprev 14:1314:13, 20 April 2018‎ Ws2chen talk contribs‎ 20,460 bytes +684‎ →‎Experiments

6 April 2018

• curprev 22:0422:04, 6 April 2018‎ R4yang talk contribs‎ 19,776 bytes +14‎ →‎Conclusion and Critique
• curprev 11:0911:09, 6 April 2018‎ Y547li talk contribs‎ 19,762 bytes −1‎ →‎Tracking the position of a walking man
• curprev 11:0811:08, 6 April 2018‎ D39yang talk contribs‎ 19,763 bytes 0‎ →‎Conclusion and Critique
• curprev 11:0611:06, 6 April 2018‎ D39yang talk contribs‎ 19,763 bytes 0‎ →‎Evaluation

3 April 2018

• curprev 18:1918:19, 3 April 2018‎ R33tang talk contribs‎ 19,763 bytes −15‎ Editorial contribution
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2 April 2018

• curprev 23:4723:47, 2 April 2018‎ J3ku talk contribs‎ 19,519 bytes +182‎ Update introduction

24 March 2018

• curprev 13:1813:18, 24 March 2018‎ W285liu talk contribs‎ 19,337 bytes +54‎ →‎Tracking an object in free fall
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19 March 2018

• curprev 21:4821:48, 19 March 2018‎ C433li talk contribs‎ 19,170 bytes +21‎ No edit summary
• curprev 21:4821:48, 19 March 2018‎ C433li talk contribs‎ 19,149 bytes +1,138‎ Undo revision 34702 by C433li (talk)
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18 March 2018

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15 March 2018

• curprev 21:5721:57, 15 March 2018‎ Bapskiko talk contribs‎ 18,894 bytes +848‎ →‎Conclusion and Critique
• curprev 15:2015:20, 15 March 2018‎ Apon talk contribs‎ 18,046 bytes 0‎ →‎Introduction
• curprev 15:1915:19, 15 March 2018‎ Tadenoud talk contribs‎ 18,046 bytes +54‎ →‎Problem Setup: Define "simpler" functions more clearly
• curprev 15:1615:16, 15 March 2018‎ Tadenoud talk contribs‎ m 17,992 bytes +2‎ →‎Conclusion and Critique
• curprev 15:1315:13, 15 March 2018‎ Tadenoud talk contribs‎ m 17,990 bytes 0‎ →‎Problem Setup
• curprev 15:1215:12, 15 March 2018‎ Jssambee talk contribs‎ 17,990 bytes +297‎ →‎Problem Setup
• curprev 10:5410:54, 15 March 2018‎ Tdunn talk contribs‎ 17,693 bytes −1‎ →‎Conclusion and Critique
• curprev 10:5410:54, 15 March 2018‎ Tdunn talk contribs‎ 17,694 bytes +155‎ →‎Conclusion and Critique
• curprev 10:5110:51, 15 March 2018‎ Bdhurl talk contribs‎ 17,539 bytes +399‎ →‎Tracking an object in free fall

14 March 2018

• curprev 23:2023:20, 14 March 2018‎ X249wang talk contribs‎ 17,140 bytes +1,275‎ →‎Added loss function for experiment
• curprev 22:4522:45, 14 March 2018‎ X249wang talk contribs‎ m 15,865 bytes +48‎ →‎Tracking the position of a walking man
• curprev 22:3222:32, 14 March 2018‎ X249wang talk contribs‎ m 15,817 bytes −4‎ →‎Editorial/grammar
• curprev 22:2522:25, 14 March 2018‎ X249wang talk contribs‎ m 15,821 bytes +2‎ →‎Minor formula fix
• curprev 22:1522:15, 14 March 2018‎ X249wang talk contribs‎ 15,819 bytes −4‎ →‎Fixed minor typo in a formula
• curprev 22:0122:01, 14 March 2018‎ X249wang talk contribs‎ 15,823 bytes +120‎ →‎Fixed incomplete second reference
• curprev 18:3018:30, 14 March 2018‎ Shitawal talk contribs‎ m 15,703 bytes +6‎ No edit summary
• curprev 18:2918:29, 14 March 2018‎ Shitawal talk contribs‎ 15,697 bytes +1,929‎ Added experiment on detecting objects with causal relationships
• curprev 16:5016:50, 14 March 2018‎ C433li talk contribs‎ 13,768 bytes +179‎ No edit summary
• curprev 01:4601:46, 14 March 2018‎ C433li talk contribs‎ 13,589 bytes −24‎ No edit summary
• curprev 01:4501:45, 14 March 2018‎ C433li talk contribs‎ 13,613 bytes +22‎ →‎Introduction
• curprev 01:4501:45, 14 March 2018‎ C433li talk contribs‎ 13,591 bytes +23‎ →‎Tracking the position of a walking man
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13 March 2018

• curprev 21:4521:45, 13 March 2018‎ C433li talk contribs‎ 8,601 bytes +4,185‎ No edit summary
• curprev 13:0513:05, 13 March 2018‎ C433li talk contribs‎ 4,416 bytes −29‎ Undo revision 33736 by C433li (talk)
• curprev 13:0513:05, 13 March 2018‎ C433li talk contribs‎ 4,445 bytes +29‎ No edit summary

12 March 2018

• curprev 23:1223:12, 12 March 2018‎ C433li talk contribs‎ 4,416 bytes +4,416‎ Created page with "(**NOT COMPLETE YET**) == Introduction == Applications of machine learning are often encumbered by the need for large amounts of labeled training data. Neural networks have m..."