[NIPS 2020] Quantization Paper List

Robust Quantization: One Model to Rule Them All

Adaptive Gradient Quantization for Data-Parallel SGD

Position-based Scaled Gradient for Model Quantization and Sparse Training

AMQ: Automatic Mixed-precision Quantization Based on Hessian Trace

FleXOR: Trainable Fractional Quantization

Bayesian Bits: Unifying Quantization and Pruning

Universally Quantized Neural Compression

Hierarchical Quantized Autoencoders

Searching for Low-Bit Weights in Quantized Neural Networks

Quantized Variational Inference