Review for NeurIPS paper: Balanced Meta-Softmax for Long-Tailed Visual Recognition

Weaknesses: -The equations (3) and (4) are, however, very similar to [3] and [A, B] in the way that they force the minor-class examples to have larger decision values (i.e., \exp \eta_j) in training. The proposed softmax seems particularly similar to eq. (11) in [B]. The authors should have cited these papers and provided further discussion and comparison. This point limits the novelty/significance of the paper. It is hard for me to judge the novelty of the proposed meta sampler.