Continual Learning on Tiny-ImageNet (10tasks)

Metric: Average Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Average Accuracy▼	Augmentations	Paper	Date↕	Code
1	ALTA-ViTB/16	89.8	No	-	-	Code
2	ALTA-RN50x4	84.73	No	-	-	Code
3	ALTA-RN101	83.35	No	-	-	Code
4	ALTA-RN50	81.07	No	-	-	Code
5	SNCL	52.85	No	Learning Bayesian Sparse Networks with Full Expe...	2022-02-21	-
6	DER [buzzega2020dark]	51.78	No	Learning Bayesian Sparse Networks with Full Expe...	2022-02-21	-
7	ER[riemer2018learning]	48.64	No	Learning Bayesian Sparse Networks with Full Expe...	2022-02-21	-
8	iCaRL [rebuffi2017icarl]	31.55	No	Learning Bayesian Sparse Networks with Full Expe...	2022-02-21	-
9	A-GEM [chaudhry2018efficient]	25.33	No	Learning Bayesian Sparse Networks with Full Expe...	2022-02-21	-

#1ALTA-ViTB/16
89.8
Average Accuracy
No paperCode
#2ALTA-RN50x4
84.73
Average Accuracy
No paperCode
#3ALTA-RN101
83.35
Average Accuracy
No paperCode
#4ALTA-RN50
81.07
Average Accuracy
No paperCode
#5SNCLSOTA
52.85
Average Accuracy· 2022-02-21
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
#6DER [buzzega2020dark]
51.78
Average Accuracy· 2022-02-21
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
#7ER[riemer2018learning]
48.64
Average Accuracy· 2022-02-21
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
#8iCaRL [rebuffi2017icarl]
31.55
Average Accuracy· 2022-02-21
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
#9A-GEM [chaudhry2018efficient]
25.33
Average Accuracy· 2022-02-21
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning