19 citations · 36 across the 6 of their papers we have counts for
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cs.LG2023★ 1 cited
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
Victoria Lin, Louis-Philippe Morency, Dimitrios Dimitriadis +1
In real-world machine learning systems, labels are often derived from user behaviors that the system wishes to encourage. Over time, new models must be trained as new training exam…
cs.LG2021★ 1 cited
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
Srinagesh Sharma, Guoqing Zheng, Ahmed Hassan Awadallah
Albeit the universal representational power of pre-trained language models, adapting them onto a specific NLP task still requires a considerably large amount of labeled data. Effec…