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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.106 Abstract: Model-agnostic meta-learning (MAML) has been recently put forth as a strategy to learn resource-poor languages in a sample-efficient fashion. Nevertheless, the properties of these languages are often not well represented by those available during training. Hence, we argue that the i.i.d. assumption ingrained in MAML makes it ill-suited for cross-lingual NLP. In fact, under a decision-theoretic framework, MAML can be interpreted as minimising the expected risk across training languages (with a uniform prior), which is known as Bayes criterion. To increase its robustness to outlier languages, we create two variants of MAML based on alternative criteria: Minimax MAML reduces the maximum risk across languages, while Neyman–Pearson MAML constrains the risk in each language to a maximum threshold. Both criteria constitute fully differentiable two-player games. In light of this, we propose a new adaptive optimiser solving for a local ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/26197-minimax-and-neyman-pearson-meta-learning-for-outlier-languages
https://dx.doi.org/10.48448/zydv-7c20
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2
Evaluation of Summarization Systems across Gender, Age, and Race ...
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3
Locke's Holiday: Belief Bias in Machine Reading ...
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4
Dynamic Forecasting of Conversation Derailment ...
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5
Replicating and Extending ``Because Their Treebanks Leak'': Graph Isomorphism, Covariants, and Parser Performance ...
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6
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color ...
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7
Spurious Correlations in Cross-Topic Argument Mining ...
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8
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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9
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ...
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10
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization ...
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11
The Impact of Positional Encodings on Multilingual Compression ...
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12
On Language Models for Creoles ...
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