Inference Optimization

5 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Input Convex Neural Networks

locuslab/icnn ICML 2017

We show that many existing neural network architectures can be made input-convex with a minor modification, and develop specialized optimization algorithms tailored to this setting.

Iterative Amortized Inference

joelouismarino/iterative_inference ICML 2018

The failure of these models to reach fully optimized approximate posterior estimates results in an amortization gap.

A General Method for Amortizing Variational Filtering

joelouismarino/amortized-variational-filtering NeurIPS 2018

We introduce the variational filtering EM algorithm, a simple, general-purpose method for performing variational inference in dynamical latent variable models using information from only past and present variables, i. e. filtering.

Easy and Efficient Transformer : Scalable Inference Solution For large NLP model

NetEase-FuXi/EET 26 Apr 2021

Recently, large-scale transformer-based models have been proven to be effective over a variety of tasks across many domains.

A Novel 1D State Space for Efficient Music Rhythmic Analysis

mjhydri/1d-statespace 1 Nov 2021

This paper proposes a new state space approach for music time structure analysis.