Challenges in Representation Learning: Multi-modal Learning
Best sub leaderboard
What if every single team had chosen their best sub for final scoring?
This LB is based on that scenario.
Team name | Public(final) | Private(final) | Private(best) | Public score | Private score | Date |
Albino Snowman ○ | 5 | 3 | 1 | 0.0 | 1.0 | 2013-05-22 |
MMDL ○ | 2 | 2 | 2 | 0.0 | 1.0 | 2013-05-23 |
BreakfastPirate ○ | 3 | 4 | 3 | 0.0 | 0.9915806322529012 | 2013-05-22 |
ryank ○ | 4 | 5 | 4 | 0.0 | 0.9798319327731092 | 2013-05-21 |
ikretus ○ | 7 | 6 | 5 | 0.0 | 0.7050740296118447 | 2013-05-21 |
Wayne Zhang ○ | 8 | 7 | 6 | 0.0 | 0.6283313325330132 | 2013-05-24 |
D3PO ○ | 9 | 14 | 7 | 0.0 | 0.5654661864745898 | 2013-05-21 |
J.A. Guerrero ○ | 21 | 8 | 8 | 0.0 | 0.5607442977190876 | 2013-05-24 |
Chaotic Experiments ○ | 14 | 9 | 9 | 0.0 | 0.5552621048419367 | 2013-05-21 |
cjt ○ | 11 | 11 | 10 | 0.0 | 0.5552621048419367 | 2013-05-22 |
RamSud ○ | 13 | 10 | 11 | 0.0 | 0.5552621048419367 | 2013-05-21 |
AuroraXie ○ | 6 | 13 | 12 | 0.0 | 0.554485794317727 | 2013-05-24 |
DanB and Binghsu ○○ | 10 | 12 | 13 | 0.0 | 0.554485794317727 | 2013-05-24 |
David Völgyes ○ | 24 | 15 | 14 | 0.0 | 0.5060824329731892 | 2013-05-22 |
grizzli3k ○ | 23 | 16 | 15 | 0.0 | 0.5 | 2013-05-21 |
WRM ○○○○ | 15 | 19 | 16 | 0.5283646981437807 | 0.0 | 2013-04-27 |
kuantkid ○ | 16 | 17 | 17 | 0.5283646981437807 | 0.0 | 2013-04-22 |
42 ○○ | 19 | 22 | 18 | 0.4794243634788468 | 0.0 | 2013-05-02 |
MLP mapping from bag of visual.. ○ | 0 | 0 | 19 | 0.56151834560652 | 0.0 | 2013-04-08 |
林林 潘 ○ | 20 | 20 | 20 | 0.5 | 0.0 | 2013-04-27 |
randomfuc ○ | 17 | 23 | 21 | 0.5095618552566139 | 0.0 | 2013-05-16 |
RandomPick ○ | 22 | 24 | 22 | 0.4910638366142048 | 0.0 | 2013-05-17 |
Ali Hassaïne ○ | 18 | 18 | 23 | 0.5081259726299915 | 0.0 | 2013-04-24 |
404 ○○ | 12 | 21 | 24 | 0.56151834560652 | 0.0 | 2013-05-04 |
Logistic regression mapping fr.. ○ | 0 | 0 | 25 | 0.5283646981437807 | 0.0 | 2013-04-08 |