Continual Learning On Cubs Fine Grained 6

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
CondConvContinual	84.26	EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING
H$^{2}$	84.1	Helpful or Harmful: Inter-Task Association in Continual Learning
CPG	83.59	Compacting, Picking and Growing for Unforgetting Continual Learning
Piggyback	80.5	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
PackNet	80.41	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
ProgressiveNet	78.94	Progressive Neural Networks

0 of 6 row(s) selected.