ining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction. NeurIPS, LMRL workshop.&lt;/a&gt;</td>
    </tr>
    <tr>
      <th>14</th>
      <td>Tranception S no retrieval</td>
      <td>Protein language model</td>
      <td>0.410</td>
      <td>0.020</td>
      <td>0.419</td>
      <td>NaN</td>
      <td>0.372</td>
      <td>0.479</td>
      <td>0.372</td>
      <td>0.427</td>
      <td>0.345</td>
      <td>0.412</td>
      <td>0.384</td>
      <td>0.420</td>
   