Table 5 Single-layer training performance (in terms of epoch duration) for different publicly available forward-only and local learning repositories, compared to SCFF, on CIFAR-10

From: Self-Contrastive Forward-Forward algorithm

Method

Unsupervised

Epoch duration (s)

Acc. (%)

SigProp (Kohan et al. 202346)

7.5

91.6

HardHebb (Miconi et al. 202153)

1.6

64.8

HardHebb (Lagani et al. 202279)

5.1

64.6

SoftHebb (Journé et al. 202216)

2.6

80.3

SCFF (ours)

1.2

80.8

  1. Accuracy results of the overall models from the respective papers on CIFAR-10 are also reported. All experiments were conducted on a single NVIDIA RTX 4090 GPU.
  2. Entries in bold indicate the proposed method and its associated results.