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[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'

Python 96.92% Shell 3.08%
belief-propagation case-based-reasoning ctreeot domain-adaptation graph-matching icml icml-2023 icml2023 message-passing optimal-transport sinkhorn sinkhorn-algorithm sinkhorn-distance sinkhorn-knopp structured-prediction test-time-adaptation text-to-sql text2sql tree-matching tree-similarity

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My website can be found here.
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ctreeot's Issues

Request for Exact Data Splits Used in Adaptation to SPIDER Schemas

Thanks a lot for your work.

I am currently trying to replicate the experiments you've conducted. In the paper, you mentioned that divisions of the schema D were performed randomly into Dtest and Dcases such that Dtest ∪ Dcases = D and Dtest ∩ Dcases = ∅

I understand that based on random splits, the results could vary. For comparing different text-to-SQL work, it would be ideal to keep the experiment setting similar.

Therefore, it would be really helpful if you could please share the exact Data splits used in your experiments.

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