Immune Repertoire Classification
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Immune Repertoire Classification
Latest papers
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
tencentailabhealthcare/nll-irc
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Immune repertoire classification, a typical multiple instance learning (MIL) problem, is a frontier research topic in computational biology that makes transformative contributions to new vaccines and immune therapies.
Hopfield Networks is All You Need
ml-jku/hopfield-layers
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ICLR 2021
The new update rule is equivalent to the attention mechanism used in transformers.
Modern Hopfield Networks and Attention for Immune Repertoire Classification
ml-jku/DeepRC
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NeurIPS 2020
We show that the attention mechanism of transformer architectures is actually the update rule of modern Hopfield networks that can store exponentially many patterns.
