Papers by Ali Razavi
Do Transformers Need Deep Long-Range Memory? (2020.acl-main)
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| Challenge: | Deep attention models have advanced the modelling of sequential data across many domains. |
| Approach: | They propose to use a Transformer augmented with a long-range memory to model sequential data across many domains. |
| Outcome: | The Transformer-XL has a long-range memory at every layer of the network, rendering its state thousands of times larger than RNN predecessors. |