doc: update README.rst

Author: xuyxu

README.rst

@@ -82,23 +82,23 @@ Minimal Example on How to Use
 Supported Ensemble
 ------------------
 
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-|      Ensemble Name      |    Type    |                                                                                                                               Paper                                                                                                                              | Repository (torchensemble/) |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-|          Fusion         |    Mixed   |                                                                                                              Not listed for its Perceptual Intuition                                                                                                             |          fusion.py          |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-|          Voting         |  Parallel  |                                                                                                              Not listed for its Perceptual Intuition                                                                                                             |          voting.py          |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-|         Bagging         |  Parallel  |                                                                                       `Bagging Predictors <https://link.springer.com/content/pdf/10.1007/BF00058655.pdf>`__                                                                                      |          bagging.py         |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-|    Gradient Boosting    | Sequential | `Greedy Function Approximation: A Gradient Boosting Machine <https://www.jstor.org/stable/pdf/2699986.pdf?casa_token=3fkT9safZHUAAAAA:HT_MeRk_xNsUZkOpbixOtXc950xnRSXNAyl7WjGZgjLtwBTAzZaQe2urnVyp5sK1dIXRL-9hVrdvjT-Ex_PEvov5tTyFg6wMaSbhCzkJRfUj4uBJ6l_PHA>`__ |     gradient_boosting.py    |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-|    Snapshot Ensemble    | Sequential |                                                                                 `[ICLR'17] Snapshot Ensembles: Train 1, Get m For Free <https://arxiv.org/pdf/1704.00109.pdf>`__                                                                                 |     snapshot_ensemble.py    |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-|   Adversarial Training  |  Parallel  |                                                                  `[NIPS'17] Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles <https://arxiv.org/pdf/1612.01474.pdf>`__                                                                 |   adversarial_training.py   |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
-| Fast Geometric Ensemble | Sequential |                                                                        `[NIPS'18] Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs <https://arxiv.org/pdf/1802.10026;Loss>`__                                                                       |      fast_geometric.py      |
-+-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------+
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+|    **Ensemble Name**    |  **Type**  |                                                                                                                             **Paper**                                                                                                                            |      **Repository**     |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+|          Fusion         |    Mixed   |                                                                                                              Not listed for its Perceptual Intuition                                                                                                             |        fusion.py        |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+|          Voting         |  Parallel  |                                                                                                              Not listed for its Perceptual Intuition                                                                                                             |        voting.py        |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+|         Bagging         |  Parallel  |                                                                                       `Bagging Predictors <https://link.springer.com/content/pdf/10.1007/BF00058655.pdf>`__                                                                                      |        bagging.py       |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+|    Gradient Boosting    | Sequential | `Greedy Function Approximation: A Gradient Boosting Machine <https://www.jstor.org/stable/pdf/2699986.pdf?casa_token=3fkT9safZHUAAAAA:HT_MeRk_xNsUZkOpbixOtXc950xnRSXNAyl7WjGZgjLtwBTAzZaQe2urnVyp5sK1dIXRL-9hVrdvjT-Ex_PEvov5tTyFg6wMaSbhCzkJRfUj4uBJ6l_PHA>`__ |   gradient_boosting.py  |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+|    Snapshot Ensemble    | Sequential |                                                                                 `[ICLR'17] Snapshot Ensembles: Train 1, Get m For Free <https://arxiv.org/pdf/1704.00109.pdf>`__                                                                                 |   snapshot_ensemble.py  |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+|   Adversarial Training  |  Parallel  |                                                                  `[NIPS'17] Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles <https://arxiv.org/pdf/1612.01474.pdf>`__                                                                 | adversarial_training.py |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
+| Fast Geometric Ensemble | Sequential |                                                                        `[NIPS'18] Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs <https://arxiv.org/pdf/1802.10026;Loss>`__                                                                       |    fast_geometric.py    |
++-------------------------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+
 
 Experiment
 ----------