Papers by Felicity Wang

2 papers
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning (D19-61)

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Challenge: Existing approaches to multi-task learning take advantage of transfer among tasks . generative reconstruction of the observations is not included in the standard framework .
Approach: They propose to use a syntactically-oblivious pooling encoder and pre-trained word embeddings to improve sentence-level representations.
Outcome: The proposed techniques yield similar performance on a universe of task combinations while reducing training time and model size.
Numerical Optimizations for Weighted Low-rank Estimation on Language Models (2022.emnlp-main)

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Challenge: Singular value decomposition (SVD) is one of the most popular methods for estimating a target matrix with smaller matrices.
Approach: They propose a method that approximates a target matrix with smaller matrices by two smaller . they also propose metric to predict when the SVD may introduce a significant performance drop.
Outcome: The proposed method can perform better than current SOTA methods in compressing Transformer-based language models.

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