Row 24386

Row ID: 24386 | Dataset Entry | Axioma AXP Content Repository

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Thanks for the info. I'm familiar with the Excelformer model and think it might be potentially useful and interesting. But i'm not sure that typically is the right word. The benchmarks in academic papers introducing new architectures are far from perfectly resembling many real world scenarious (like the ones I mentioned in the original post). I liked the recent ICLR data-centric ML workshop paper on this benchmarking issue [https://ml.informatik.uni-freiburg.de/wp-content/uploads/2024/04/61\_towards\_quantifying\_the\_effect.pdf](https://ml.informatik.uni-freiburg.de/wp-content/uploads/2024/04/61_towards_quantifying_the_effect.pdf)

I guess we should try excelformer in the wild and see ;)

FieldValue
text Thanks for the info. I'm familiar with the Excelformer model and think it might be potentially useful and interesting. But i'm not sure that typically is the right word. The benchmarks in academic papers introducing new architectures are far from perfectly resembling many real world scenarious (like the ones I mentioned in the original post). I liked the recent ICLR data-centric ML workshop paper on this benchmarking issue [https://ml.informatik.uni-freiburg.de/wp-content/uploads/2024/04/61\_tow…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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{
  "text": "Thanks for the info. I'm familiar with the Excelformer model and think it might be potentially useful and interesting. But i'm not sure that typically is the right word. The benchmarks in academic papers introducing new architectures are far from perfectly resembling many real world scenarious (like the ones I mentioned in the original post). I liked the recent ICLR data-centric ML workshop paper on this benchmarking issue [https://ml.informatik.uni-freiburg.de/wp-content/uploads/2024/04/61\\_towards\\_quantifying\\_the\\_effect.pdf](https://ml.informatik.uni-freiburg.de/wp-content/uploads/2024/04/61_towards_quantifying_the_effect.pdf)\n\nI guess we should try excelformer in the wild and see ;)",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
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