Abstract Reasoning with Distracting Features
Table 2: Test performance of all models trained on the neutral split of the PGM dataset. Teacher Model denotes that using the teacher model to determine the appropriate training trajectory. Type loss denotes that adding category label of questions into loss functions.
['Model', 'Acc(%)']
Baseline Models We compare a comprehensive list of baseline models. The WReN model Barrett et al. Our proposed Logic Embedding Network (LEN) and its variant with two-stream (i.e.g, T-LEN) achieve a much better performance when comparing to baseline algorithms.