task_path
stringlengths 3
199
⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
223
⌀ | paper_url
stringlengths 21
601
⌀ | metric_name
stringlengths 1
50
⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random chemical generation
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random chemical generation
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 MCES
|
21.11
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random chemical generation
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 Tanimoto
|
0.08
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random chemical generation
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random chemical generation
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 MCES
|
18.25
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random chemical generation
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 Tanimoto
|
0.11
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + Neuraldecipher
| null |
Top-1 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + Neuraldecipher
| null |
Top-1 MCES
|
33.19
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + Neuraldecipher
| null |
Top-1 Tanimoto
|
0.14
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + Neuraldecipher
| null |
Top-10 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + Neuraldecipher
| null |
Top-10 MCES
|
31.89
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + Neuraldecipher
| null |
Top-10 Tanimoto
|
0.16
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2502.09571v2
|
Top-1 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2502.09571v2
|
Top-1 MCES
|
37.76
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2502.09571v2
|
Top-1 Tanimoto
|
0.12
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2502.09571v2
|
Top-10 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2502.09571v2
|
Top-10 MCES
|
29.40
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2502.09571v2
|
Top-10 Tanimoto
|
0.16
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SELFIES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SELFIES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 MCES
|
38.88
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SELFIES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 Tanimoto
|
0.08
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SELFIES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SELFIES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 MCES
|
26.87
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SELFIES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 Tanimoto
|
0.13
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + MSNovelist
| null |
Top-1 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + MSNovelist
| null |
Top-1 MCES
|
45.55
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + MSNovelist
| null |
Top-1 Tanimoto
|
0.06
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + MSNovelist
| null |
Top-10 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + MSNovelist
| null |
Top-10 MCES
|
30.13
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST + MSNovelist
| null |
Top-10 Tanimoto
|
0.15
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2501.01950v3
|
Top-1 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2501.01950v3
|
Top-1 MCES
|
45.89
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2501.01950v3
|
Top-1 Tanimoto
|
0.19
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2501.01950v3
|
Top-10 Accuracy
|
0
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2501.01950v3
|
Top-10 MCES
|
32.6
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Spec2Mol
|
https://arxiv.org/abs/2501.01950v3
|
Top-10 Tanimoto
|
0.28
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SMILES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SMILES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 MCES
|
79.39
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SMILES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-1 Tanimoto
|
0.03
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SMILES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 Accuracy
|
0.00
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SMILES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 MCES
|
52.13
|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
SMILES Transformer
|
https://arxiv.org/abs/2410.23326v3
|
Top-10 Tanimoto
|
0.10
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
FraGNNet
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 1
|
31.93
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
FraGNNet
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 5
|
63.20
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
FraGNNet
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 20
|
82.70
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
FFN Fingerprint
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 1
|
7.62
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
FFN Fingerprint
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 5
|
22.70
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
FFN Fingerprint
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 20
|
44.12
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
GNN
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 1
|
3.63
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
GNN
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 5
|
13.55
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
GNN
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 20
|
33.77
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
Precursor m/z
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 1
|
2.09
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
Precursor m/z
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 5
|
8.52
|
MS/MS spectrum simulation (bonus chemical formulae)
|
MassSpecGym
|
Precursor m/z
|
https://arxiv.org/abs/2410.23326v3
|
Hit Rate @ 20
|
22.65
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
JESTR
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 1
|
11.85
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
JESTR
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 5
|
32.95
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
JESTR
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 20
|
61.46
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
JESTR_NR
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 1
|
11.82
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
JESTR_NR
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 5
|
33.48
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
JESTR_NR
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 20
|
61.46
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
ESP
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 1
|
11.05
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
ESP
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 5
|
27.42
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
ESP
|
https://arxiv.org/abs/2411.14464v3
|
Hit rate @ 20
|
52.20
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 1
|
9.57
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 5
|
22.11
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 20
|
41.12
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
MIST
|
https://arxiv.org/abs/2410.23326v3
|
MCES @ 1
|
12.75
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets + Fourier features
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 1
|
6.56
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets + Fourier features
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 5
|
16.46
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets + Fourier features
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 20
|
33.46
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets + Fourier features
|
https://arxiv.org/abs/2410.23326v3
|
MCES @ 1
|
14.14
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Fingerprint FFN
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 1
|
5.09
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Fingerprint FFN
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 5
|
14.69
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Fingerprint FFN
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 20
|
31.97
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Fingerprint FFN
|
https://arxiv.org/abs/2410.23326v3
|
MCES @ 1
|
14.94
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 1
|
4.42
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 5
|
14.46
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 20
|
30.76
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
DeepSets
|
https://arxiv.org/abs/2410.23326v3
|
MCES @ 1
|
15.04
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 1
|
3.06
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 5
|
11.35
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random
|
https://arxiv.org/abs/2410.23326v3
|
Hit rate @ 20
|
27.74
|
Molecule retrieval from MS/MS spectrum (bonus chemical formulae)
|
MassSpecGym
|
Random
|
https://arxiv.org/abs/2410.23326v3
|
MCES @ 1
|
13.87
|
Human Activity Recognition
|
OAD dataset
|
ESTIE + VGG16 (transfer-learning)
|
https://ieeexplore.ieee.org/abstract/document/10459847
|
Accuracy
|
95.22
|
Human Activity Recognition
|
OAD dataset
|
STIE + VGG16 (transfer-learning)
|
https://ieeexplore.ieee.org/abstract/document/10459847
|
Accuracy
|
94.77
|
Human Activity Recognition
|
OAD dataset
|
STIE + VGG16(fine-tuning)
|
https://www.scitepress.org/PublicationsDetail.aspx?ID=rsbxRj6Ic2Y=&t=1
|
Accuracy
|
86.81
|
Human Activity Recognition
|
HMDB51
|
Label-Ranker
|
https://www.preprints.org/manuscript/202503.0003/v1
|
Accuracy
|
61.18%
|
Human Activity Recognition
|
RHM
|
Dual-Stream C3D
|
https://ieeexplore.ieee.org/abstract/document/10719749/authors#authors
|
Accuracy (Top-1)
|
71.06
|
Human Activity Recognition
|
RHM
|
C3D
|
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=brVh080AAAAJ&citation_for_view=brVh080AAAAJ:IjCSPb-OGe4C
|
Accuracy (Top-1)
|
70.3
|
Human Activity Recognition
|
RHM
|
Dual-Stream ConvNet
|
https://ieeexplore.ieee.org/abstract/document/10719749/authors#authors
|
Accuracy (Top-1)
|
62.77
|
Human Activity Recognition
|
RHM
|
SlowFast (101)
|
https://ieeexplore.ieee.org/abstract/document/10719749/authors#authors
|
Accuracy (Top-1)
|
45.28
|
Human Activity Recognition
|
Radar Dataset (DIAT-μRadHAR: Radar micro-Doppler Signature dataset for Human Suspicious Activity Recognition)
|
DIAT-RadHARNet
|
https://ieeexplore.ieee.org/abstract/document/9721839
|
1:1 Accuracy
|
99.22
|
Human Activity Recognition
|
PAMAP2
|
Selective HAR Clustering
|
https://arxiv.org/abs/2209.08335v1
|
NMI
|
0.884
|
Human Activity Recognition
|
PAMAP2
|
Selective HAR Clustering
|
https://arxiv.org/abs/2209.08335v1
|
ARI
|
0.814
|
Human Activity Recognition
|
PAMAP2
|
Unsupervised embedding learning for human activity recognition using wearable sensor data
| null |
NMI
|
0.873
|
Human Activity Recognition
|
PAMAP2
|
Unsupervised embedding learning for human activity recognition using wearable sensor data
| null |
ARI
|
0.802
|
Human Activity Recognition
|
PAMAP2
|
AFVF
|
https://arxiv.org/abs/2312.02185v1
|
Accuracy
|
0.9672
|
Human Activity Recognition
|
PAMAP2
|
AFVF
|
https://arxiv.org/abs/2312.02185v1
|
Macro F1
|
0.9665
|
Human Activity Recognition
|
MM-Fit
|
unsupervised statistical feature guided diffusion model
|
https://arxiv.org/abs/2306.05285v2
|
F1 - macro
|
0.441
|
Human Activity Recognition
|
UCF 101
|
Label-Ranker
|
https://www.preprints.org/manuscript/202503.0003/v1
|
Accuracy
|
89.50%
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.