DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
arXiv:2509.26469v3 Announce Type: replace
Abstract: Vector quantization is common in deep models, yet its hard assignments block gradients and hinder end-to-end training. We propose DiVeQ, which treats quantization as adding an error vector that mimic…