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12/01/2022
Simplifying and Understanding State Space Models with Diagonal Linear RNNs
Sequence models based on linear state spaces (SSMs) have recently emerge...
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12/14/2021
Learning to Retrieve Passages without Supervision
Dense retrievers for open-domain question answering (ODQA) have been sho...
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12/29/2020
Transformer Feed-Forward Layers Are Key-Value Memories
Feed-forward layers constitute two-thirds of a transformer model's param...
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09/30/2020
Learning Object Detection from Captions via Textual Scene Attributes
Object detection is a fundamental task in computer vision, requiring lar...
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05/30/2019
Grammar-based Neural Text-to-SQL Generation
The sequence-to-sequence paradigm employed by neural text-to-SQL models ...
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11/02/2018
