Incremental Learning on ImageNet100 - 10 steps

Metric: # M Params (higher is better)

LeaderboardDataset

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#	Model↕	# M Params▼	Augmentations	Paper	Date↕	Code
1	TCIL	116.54	No	Resolving Task Confusion in Dynamic Expansion Ar...	2022-12-29	Code
2	DER w/o Pruning	112.27	No	DER: Dynamically Expandable Representation for C...	2021-03-31	Code
3	TCIL-Lite	26.36	No	Resolving Task Confusion in Dynamic Expansion Ar...	2022-12-29	Code
4	WA	11.22	No	Maintaining Discrimination and Fairness in Class...	2019-11-16	Code
5	BiC	11.22	No	Large Scale Incremental Learning	2019-05-30	Code
6	E2E	11.22	No	End-to-End Incremental Learning	2018-07-25	Code
7	iCaRL	11.22	No	iCaRL: Incremental Classifier and Representation...	2016-11-23	Code
8	DyTox	11.01	No	DyTox: Transformers for Continual Learning with ...	2021-11-22	Code

#1TCILSOTA
116.54
# M Params· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning Code
#2DER w/o PruningSOTA
112.27
# M Params· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning Code
#3TCIL-Lite
26.36
# M Params· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning Code
#4WA
11.22
# M Params· 2019-11-16
Maintaining Discrimination and Fairness in Class Incremental Learning Code
#5BiC
11.22
# M Params· 2019-05-30
Large Scale Incremental Learning Code
#6E2E
11.22
# M Params· 2018-07-25
End-to-End Incremental Learning Code
#7iCaRLSOTA
11.22
# M Params· 2016-11-23
iCaRL: Incremental Classifier and Representation Learning Code
#8DyTox
11.01
# M Params· 2021-11-22
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Code