acceptance, and noted clear presentation, strong empirical results, and thorough ablations

We thank the reviewers for their thoughtful feedback. R1 questioned whether BigBiGAN truly represents an "important step forward toward answering some fundamental On R1's specific concern that we only demonstrate "good linear probe classification performance", we now have We haven't experimented with smaller datasets (e.g. R1 suggested adding comparisons to other methods, including results published after the submission deadline. Finally, R1 asked for comparisons with VQ-V AE-2 on generation and representation learning. BigBiGAN is trained unconditionally (without class information), while VQ-V AE-2 is class-conditional, so it's not VQ-V AE-2 did not report representation learning results (unsupervised or otherwise).