Papers by Austin Reiter

2 papers
Cross-Modal Retrieval Augmentation for Multi-Modal Classification (2021.findings-emnlp)

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Challenge: Recent advances in using retrieval components over external knowledge sources have shown impressive results for a variety of downstream tasks in natural language processing.
Approach: They propose a retrieval-augmented multi-modal transformer architecture for embedding images and captions in the same space.
Outcome: The proposed approach improves visual question answering over strong baselines and hot-swapping indices.
When in Doubt: Improving Classification Performance with Alternating Normalization (2021.findings-emnlp)

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Challenge: a classifier that uses a nonparametric post-processing step for classification suffers when given examples that are close to its decision boundary.
Approach: They propose a nonparametric post-processing step that re-adjusts predicted class probability distributions using high-confidence validation examples.
Outcome: The proposed method improves classifier accuracy on difficult examples.

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