SDQ: Stochastic Differentiable Quantization with Mixed Precision.
Xijie HuangZhiqiang ShenShichao LiZechun LiuXianghong HuJeffry WicaksanaEric P. XingKwang-Ting ChengPublished in: ICML (2022)
Keyphrases
- precision and recall
- high precision
- quantization error
- monte carlo
- image processing
- average precision
- loss function
- objective function
- motion estimation
- reinforcement learning
- feature extraction
- stochastic model
- stochastic processes
- stochastic process
- genetic algorithm
- learning automata
- stochastic context free grammars
- uniform quantization