Row 8306

Row ID: 8306 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 8306 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

The main issues I have with this paper are as follows:

1. We don’t know if the symbolic regression coefficients are the same each time we train the model with different random seeds. If not, then how can you trust an explanation?

2. It is slow to train

3. We don’t know if it really beats the existing approaches for tabular data: More complex MLP architectures, XGB, EBM etc (when these models are tuned extensively)

FieldValue
text The main issues I have with this paper are as follows: 1. We don’t know if the symbolic regression coefficients are the same each time we train the model with different random seeds. If not, then how can you trust an explanation? 2. It is slow to train 3. We don’t know if it really beats the existing approaches for tabular data: More complex MLP architectures, XGB, EBM etc (when these models are tuned extensively)
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-19
username_encoded Z0FBQUFBQm5Lakw0enlTNTJSOThYSFI1X1BTcWJIc0tTZVlTYXlDRjViekU4VDFORnRxSkhfcXJ6Qk9HdWxGcEM5ZFVQdUswcTJ1N2luVE5sOUp4TjdpdFhRc242UmVzdmJfMDRMaVkyaFB0dTl2S1Z4Q3dYaG89
url_encoded Z0FBQUFBQm5Lak9ITUpBVEZYeEs2ZHM3ZmNBa1pmVWd5Y0N5S1pNVHdPQ3lzTlpLTVR2VTFtTWZUOVZIYnczMFU1VlgwV3h0WmxqSC1kUW1yRXgzdWRoZS03U1VPaHZRTUdLX1FwVGNYc3ZLa2NKZ0o5YjhTclZSUkFUT0JqMFk3eGZ5YmJEc0NBVkFaTEV0aE5zR3lJalRHTjZkRy1LdlRKUUdBa09oLVVFOFVrM2RPWTZtaHRzYk9FNklBTWtTMkVjaEZSaTlsTVF4

Raw Record

{
  "text": "The main issues I have with this paper are as follows:\n\n1. We don’t know if the symbolic regression coefficients are the same each time we train the model with different random seeds. If not, then how can you trust an explanation?\n\n2. It is slow to train\n\n3. We don’t know if it really beats the existing approaches for tabular data: More complex MLP architectures, XGB, EBM etc (when these models are tuned extensively)",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-19",
  "username_encoded": "Z0FBQUFBQm5Lakw0enlTNTJSOThYSFI1X1BTcWJIc0tTZVlTYXlDRjViekU4VDFORnRxSkhfcXJ6Qk9HdWxGcEM5ZFVQdUswcTJ1N2luVE5sOUp4TjdpdFhRc242UmVzdmJfMDRMaVkyaFB0dTl2S1Z4Q3dYaG89",
  "url_encoded": "Z0FBQUFBQm5Lak9ITUpBVEZYeEs2ZHM3ZmNBa1pmVWd5Y0N5S1pNVHdPQ3lzTlpLTVR2VTFtTWZUOVZIYnczMFU1VlgwV3h0WmxqSC1kUW1yRXgzdWRoZS03U1VPaHZRTUdLX1FwVGNYc3ZLa2NKZ0o5YjhTclZSUkFUT0JqMFk3eGZ5YmJEc0NBVkFaTEV0aE5zR3lJalRHTjZkRy1LdlRKUUdBa09oLVVFOFVrM2RPWTZtaHRzYk9FNklBTWtTMkVjaEZSaTlsTVF4"
}
Explore Dataset Explore Row

Entry Information