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Models/EASE

EASE

Reported on 15 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base9 results

Recommendation SystemsonMillion Song Dataset
Recall@20· 2019-05-08
0.333
SOTA
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonMillion Song Dataset
Recall@50· 2019-05-08
0.428
SOTA
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonMillion Song Dataset
nDCG@100· 2019-05-08
0.389
SOTA
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonNetflix
Recall@20· 2019-05-08
0.362
best: 0.37678 (H+Vamp Gated)
SOTA
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonNetflix
Recall@50· 2019-05-08
0.445
best: 0.46252 (H+Vamp Gated)
SOTA
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonNetflix
nDCG@100· 2019-05-08
0.393
best: 0.40861 (H+Vamp Gated)
SOTA
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonMovieLens 20M
Recall@20· 2019-05-08
0.391
best: 0.418 (Multi-Gradient Descent)
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonMovieLens 20M
Recall@50· 2019-05-08
0.521
best: 0.553 (RecVAE)
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375
Recommendation SystemsonMovieLens 20M
nDCG@100· 2019-05-08
0.42
best: 0.448 (VASP)
Embarrassingly Shallow Autoencoders for Sparse Data arXiv:1905.03375

Computer Vision6 results

Instance SegmentationonSTPLS3D
AP
64.5
Instance SegmentationonSTPLS3D
AP25
86.9
Instance SegmentationonSTPLS3D
AP50
80.8
3D Instance SegmentationonSTPLS3D
AP
64.5
3D Instance SegmentationonSTPLS3D
AP25
86.9
3D Instance SegmentationonSTPLS3D
AP50
80.8