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12/16/2022
The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning
Pre-trained language models (LMs) have shown remarkable reasoning perfor...
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02/02/2022
Can Transformers be Strong Treatment Effect Estimators?
In this paper, we develop a general framework based on the Transformer a...
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11/27/2021
Towards Principled Disentanglement for Domain Generalization
A fundamental challenge for machine learning models is generalizing to o...
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03/29/2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification
Generalizable person Re-Identification (ReID) has attracted growing atte...
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01/20/2021
