DL Challenge 1 Round 1
Round 1 leaderboard
Note that this is NOT the final leaderboard. You may use the following information to improve your models.
Evaluated on test_public.npz (8,000 examples). Ranked by public accuracy, then accuracy at Es/N0 <= 2 dB, then fewer parameters; exact ties share a rank.
Leaderboard
| rank | submission | status | params | public_acc | public_acc_lowsnr |
|---|---|---|---|---|---|
| 1 | Santa_Claude.onnx |
OK | 48472 | 0.819 | 0.5523 |
| 2 | the_tuning_forks.onnx |
OK | 68296 | 0.8133 | 0.5474 |
| 3 | Team7.onnx |
OK | 65960 | 0.8107 | 0.5381 |
| 4 | TokenLimitReached.onnx |
OK | 62840 | 0.8063 | 0.5368 |
| 5 | Team_Transformer.onnx |
OK | 74392 | 0.8014 | 0.5169 |
| 6 | dark_knights.onnx |
OK | 40760 | 0.7973 | 0.525 |
| 7 | tensors.onnx |
OK | 70760 | 0.7973 | 0.5132 |
| 8 | Tensor_Titans.onnx |
OK | 74664 | 0.7929 | 0.5193 |
| 9 | QuadraMinds.onnx |
OK | 74776 | 0.7913 | 0.4978 |
| 10 | ML_Mavericks.onnx |
OK | 47752 | 0.789 | 0.4961 |
| 11 | Akatsuki.onnx |
OK | 68232 | 0.7566 | 0.4567 |
| 12 | Learners.onnx |
OK | 47752 | 0.7521 | 0.4595 |
| - | Illegal_Activations.onnx |
FAIL |
Failed submissions (1)
Illegal_Activations.onnx
- file is empty (0 bytes): the export or the upload failed
Public test set: accuracy per class (all teams)
| Rank | Team | ook | bpsk | qpsk | 16qam | 2fsk | 4fsk | gmsk | ofdm |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Santa_Claude |
0.929 | 0.812 | 0.658 | 0.701 | 0.878 | 0.882 | 0.885 | 0.807 |
| 2 | the_tuning_forks |
0.930 | 0.824 | 0.643 | 0.636 | 0.877 | 0.903 | 0.898 | 0.795 |
| 3 | Team7 |
0.919 | 0.818 | 0.682 | 0.633 | 0.862 | 0.892 | 0.895 | 0.785 |
| 4 | TokenLimitReached |
0.922 | 0.817 | 0.640 | 0.620 | 0.877 | 0.887 | 0.897 | 0.790 |
| 5 | Team_Transformer |
0.908 | 0.791 | 0.652 | 0.615 | 0.863 | 0.888 | 0.896 | 0.798 |
| 6 | dark_knights |
0.920 | 0.810 | 0.643 | 0.603 | 0.860 | 0.888 | 0.898 | 0.756 |
| 7 | tensors |
0.905 | 0.815 | 0.625 | 0.636 | 0.857 | 0.885 | 0.876 | 0.779 |
| 8 | Tensor_Titans |
0.921 | 0.812 | 0.618 | 0.584 | 0.872 | 0.880 | 0.888 | 0.768 |
| 9 | QuadraMinds |
0.906 | 0.802 | 0.600 | 0.635 | 0.846 | 0.872 | 0.880 | 0.789 |
| 10 | ML_Mavericks |
0.918 | 0.801 | 0.617 | 0.623 | 0.841 | 0.872 | 0.867 | 0.773 |
| 11 | Akatsuki |
0.878 | 0.766 | 0.597 | 0.538 | 0.807 | 0.850 | 0.864 | 0.753 |
| 12 | Learners |
0.897 | 0.786 | 0.562 | 0.517 | 0.831 | 0.856 | 0.856 | 0.712 |
Public test set: accuracy per Es/N0 band (all teams)
| Rank | Team | -4 to 0 dB | 0 to 4 dB | 4 to 8 dB | 8 to 12 dB | 12 to 16 dB |
|---|---|---|---|---|---|---|
| 1 | Santa_Claude |
0.489 | 0.750 | 0.907 | 0.968 | 0.990 |
| 2 | the_tuning_forks |
0.483 | 0.737 | 0.909 | 0.961 | 0.985 |
| 3 | Team7 |
0.473 | 0.737 | 0.897 | 0.970 | 0.985 |
| 4 | TokenLimitReached |
0.477 | 0.719 | 0.894 | 0.960 | 0.990 |
| 5 | Team_Transformer |
0.457 | 0.710 | 0.895 | 0.968 | 0.986 |
| 6 | dark_knights |
0.464 | 0.717 | 0.882 | 0.951 | 0.981 |
| 7 | tensors |
0.453 | 0.709 | 0.893 | 0.963 | 0.978 |
| 8 | Tensor_Titans |
0.464 | 0.705 | 0.873 | 0.951 | 0.978 |
| 9 | QuadraMinds |
0.444 | 0.687 | 0.888 | 0.960 | 0.988 |
| 10 | ML_Mavericks |
0.433 | 0.697 | 0.881 | 0.958 | 0.985 |
| 11 | Akatsuki |
0.393 | 0.654 | 0.854 | 0.932 | 0.959 |
| 12 | Learners |
0.406 | 0.646 | 0.846 | 0.924 | 0.947 |
Per-team breakdown
1. Santa_Claude
Public test set (8,000 examples)
- Accuracy: 0.8190
- Accuracy at Es/N0 <= 2 dB: 0.5523
- Rank: 1 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.929 929 / 1,000 bpsk 0.812 812 / 1,000 qpsk 0.658 658 / 1,000 16qam 0.701 701 / 1,000 2fsk 0.878 878 / 1,000 4fsk 0.882 882 / 1,000 gmsk 0.885 885 / 1,000 ofdm 0.807 807 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.489 802 / 1,641 0 to 4 dB 0.750 1,191 / 1,589 4 to 8 dB 0.907 1,412 / 1,557 8 to 12 dB 0.968 1,532 / 1,582 12 to 16 dB 0.990 1,615 / 1,631
2. the_tuning_forks
Public test set (8,000 examples)
- Accuracy: 0.8133
- Accuracy at Es/N0 <= 2 dB: 0.5474
- Rank: 2 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.930 930 / 1,000 bpsk 0.824 824 / 1,000 qpsk 0.643 643 / 1,000 16qam 0.636 636 / 1,000 2fsk 0.877 877 / 1,000 4fsk 0.903 903 / 1,000 gmsk 0.898 898 / 1,000 ofdm 0.795 795 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.483 793 / 1,641 0 to 4 dB 0.737 1,171 / 1,589 4 to 8 dB 0.909 1,416 / 1,557 8 to 12 dB 0.961 1,520 / 1,582 12 to 16 dB 0.985 1,606 / 1,631
3. Team7
Public test set (8,000 examples)
- Accuracy: 0.8107
- Accuracy at Es/N0 <= 2 dB: 0.5381
- Rank: 3 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.919 919 / 1,000 bpsk 0.818 818 / 1,000 qpsk 0.682 682 / 1,000 16qam 0.633 633 / 1,000 2fsk 0.862 862 / 1,000 4fsk 0.892 892 / 1,000 gmsk 0.895 895 / 1,000 ofdm 0.785 785 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.473 777 / 1,641 0 to 4 dB 0.737 1,171 / 1,589 4 to 8 dB 0.897 1,397 / 1,557 8 to 12 dB 0.970 1,534 / 1,582 12 to 16 dB 0.985 1,607 / 1,631
4. TokenLimitReached
Public test set (8,000 examples)
- Accuracy: 0.8063
- Accuracy at Es/N0 <= 2 dB: 0.5368
- Rank: 4 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.922 922 / 1,000 bpsk 0.817 817 / 1,000 qpsk 0.640 640 / 1,000 16qam 0.620 620 / 1,000 2fsk 0.877 877 / 1,000 4fsk 0.887 887 / 1,000 gmsk 0.897 897 / 1,000 ofdm 0.790 790 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.477 782 / 1,641 0 to 4 dB 0.719 1,143 / 1,589 4 to 8 dB 0.894 1,392 / 1,557 8 to 12 dB 0.960 1,518 / 1,582 12 to 16 dB 0.990 1,615 / 1,631
5. Team_Transformer
Public test set (8,000 examples)
- Accuracy: 0.8014
- Accuracy at Es/N0 <= 2 dB: 0.5169
- Rank: 5 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.908 908 / 1,000 bpsk 0.791 791 / 1,000 qpsk 0.652 652 / 1,000 16qam 0.615 615 / 1,000 2fsk 0.863 863 / 1,000 4fsk 0.888 888 / 1,000 gmsk 0.896 896 / 1,000 ofdm 0.798 798 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.457 750 / 1,641 0 to 4 dB 0.710 1,128 / 1,589 4 to 8 dB 0.895 1,394 / 1,557 8 to 12 dB 0.968 1,531 / 1,582 12 to 16 dB 0.986 1,608 / 1,631
6. dark_knights
Public test set (8,000 examples)
- Accuracy: 0.7973
- Accuracy at Es/N0 <= 2 dB: 0.5250
- Rank: 6 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.920 920 / 1,000 bpsk 0.810 810 / 1,000 qpsk 0.643 643 / 1,000 16qam 0.603 603 / 1,000 2fsk 0.860 860 / 1,000 4fsk 0.888 888 / 1,000 gmsk 0.898 898 / 1,000 ofdm 0.756 756 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.464 761 / 1,641 0 to 4 dB 0.717 1,139 / 1,589 4 to 8 dB 0.882 1,374 / 1,557 8 to 12 dB 0.951 1,504 / 1,582 12 to 16 dB 0.981 1,600 / 1,631
7. tensors
Public test set (8,000 examples)
- Accuracy: 0.7973
- Accuracy at Es/N0 <= 2 dB: 0.5132
- Rank: 7 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.905 905 / 1,000 bpsk 0.815 815 / 1,000 qpsk 0.625 625 / 1,000 16qam 0.636 636 / 1,000 2fsk 0.857 857 / 1,000 4fsk 0.885 885 / 1,000 gmsk 0.876 876 / 1,000 ofdm 0.779 779 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.453 743 / 1,641 0 to 4 dB 0.709 1,127 / 1,589 4 to 8 dB 0.893 1,390 / 1,557 8 to 12 dB 0.963 1,523 / 1,582 12 to 16 dB 0.978 1,595 / 1,631
8. Tensor_Titans
Public test set (8,000 examples)
- Accuracy: 0.7929
- Accuracy at Es/N0 <= 2 dB: 0.5193
- Rank: 8 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.921 921 / 1,000 bpsk 0.812 812 / 1,000 qpsk 0.618 618 / 1,000 16qam 0.584 584 / 1,000 2fsk 0.872 872 / 1,000 4fsk 0.880 880 / 1,000 gmsk 0.888 888 / 1,000 ofdm 0.768 768 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.464 762 / 1,641 0 to 4 dB 0.705 1,121 / 1,589 4 to 8 dB 0.873 1,360 / 1,557 8 to 12 dB 0.951 1,505 / 1,582 12 to 16 dB 0.978 1,595 / 1,631
9. QuadraMinds
Public test set (8,000 examples)
- Accuracy: 0.7913
- Accuracy at Es/N0 <= 2 dB: 0.4978
- Rank: 9 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.906 906 / 1,000 bpsk 0.802 802 / 1,000 qpsk 0.600 600 / 1,000 16qam 0.635 635 / 1,000 2fsk 0.846 846 / 1,000 4fsk 0.872 872 / 1,000 gmsk 0.880 880 / 1,000 ofdm 0.789 789 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.444 728 / 1,641 0 to 4 dB 0.687 1,091 / 1,589 4 to 8 dB 0.888 1,382 / 1,557 8 to 12 dB 0.960 1,518 / 1,582 12 to 16 dB 0.988 1,611 / 1,631
10. ML_Mavericks
Public test set (8,000 examples)
- Accuracy: 0.7890
- Accuracy at Es/N0 <= 2 dB: 0.4961
- Rank: 10 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.918 918 / 1,000 bpsk 0.801 801 / 1,000 qpsk 0.617 617 / 1,000 16qam 0.623 623 / 1,000 2fsk 0.841 841 / 1,000 4fsk 0.872 872 / 1,000 gmsk 0.867 867 / 1,000 ofdm 0.773 773 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.433 711 / 1,641 0 to 4 dB 0.697 1,108 / 1,589 4 to 8 dB 0.881 1,371 / 1,557 8 to 12 dB 0.958 1,516 / 1,582 12 to 16 dB 0.985 1,606 / 1,631
11. Akatsuki
Public test set (8,000 examples)
- Accuracy: 0.7566
- Accuracy at Es/N0 <= 2 dB: 0.4567
- Rank: 11 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.878 878 / 1,000 bpsk 0.766 766 / 1,000 qpsk 0.597 597 / 1,000 16qam 0.538 538 / 1,000 2fsk 0.807 807 / 1,000 4fsk 0.850 850 / 1,000 gmsk 0.864 864 / 1,000 ofdm 0.753 753 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.393 645 / 1,641 0 to 4 dB 0.654 1,040 / 1,589 4 to 8 dB 0.854 1,329 / 1,557 8 to 12 dB 0.932 1,475 / 1,582 12 to 16 dB 0.959 1,564 / 1,631
12. Learners
Public test set (8,000 examples)
- Accuracy: 0.7521
- Accuracy at Es/N0 <= 2 dB: 0.4595
- Rank: 12 of 12 valid submissions
- Accuracy per class
Class Accuracy Correct ook 0.897 897 / 1,000 bpsk 0.786 786 / 1,000 qpsk 0.562 562 / 1,000 16qam 0.517 517 / 1,000 2fsk 0.831 831 / 1,000 4fsk 0.856 856 / 1,000 gmsk 0.856 856 / 1,000 ofdm 0.712 712 / 1,000 - Accuracy per Es/N0 band
Es/N0 Accuracy Correct -4 to 0 dB 0.406 667 / 1,641 0 to 4 dB 0.646 1,027 / 1,589 4 to 8 dB 0.846 1,317 / 1,557 8 to 12 dB 0.924 1,461 / 1,582 12 to 16 dB 0.947 1,545 / 1,631