@@ -82,23 +82,23 @@ Minimal Example on How to Use
8282
8383------------------
8484
85- +--------+----------------------+ -------------------+
86- | ** ID ** | ** Ensemble Name ** | ** Ensemble Type** |
87- +--------+----------------------+ -------------------+
88- | 1 | Fusion | Mixed |
89- +--------+----------------------+ -------------------+
90- | 2 | Voting | Parallel |
91- +--------+----------------------+ -------------------+
92- | 3 | Bagging | Parallel |
93- +--------+----------------------+ -------------------+
94- | 4 | Gradient Boosting | Sequential |
95- +--------+----------------------+ -------------------+
96- | 5 | Snapshot Ensemble | Sequential |
97- +--------+----------------------+ -------------------+
98- | 6 | Adversarial Training | Parallel |
99- +--------+----------------------+ -------------------+
100- | 7 | Fast Geometric | Sequential |
101- +--------+----------------------+ -------------------+
85+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
86+ | Ensemble Name | Type | Paper | Repository (torchensemble/) |
87+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
88+ | Fusion | Mixed | Not listed for its Perceptual Intuition | fusion.py |
89+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
90+ | Voting | Parallel | Not listed for its Perceptual Intuition | voting.py |
91+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
92+ | Bagging | Parallel | ` Bagging Predictors < https://link.springer.com/content/pdf/10.1007/BF00058655.pdf >`__ | bagging.py |
93+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
94+ | 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 |
95+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
96+ | Snapshot Ensemble | Sequential | ` [ICLR'17] Snapshot Ensembles: Train 1, Get m For Free < https://arxiv.org/pdf/1704.00109.pdf >`__ | snapshot_ensemble.py |
97+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
98+ | Adversarial Training | Parallel | ` [NIPS'17] Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles < https://arxiv.org/pdf/1612.01474.pdf >`__ | adversarial_training.py |
99+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
100+ | 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 |
101+ +------------------------- +------------+ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------- -------------------+
102102
103103Experiment
104104----------
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