SoftMoR mixes all recursion-step outputs via per-token weights so recursive Vision Transformers gain accuracy from added depth with only ~1.7M extra parameters on ImageNet-1K.
Loop- former: Elastic-depth looped transformers for latent reason- ing via shortcut modulation
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Soft Mixture-of-Recursions: Going Deeper with Recursive Vision Transformers
SoftMoR mixes all recursion-step outputs via per-token weights so recursive Vision Transformers gain accuracy from added depth with only ~1.7M extra parameters on ImageNet-1K.