Parameter Prediction

9 papers with code • 2 benchmarks • 2 datasets

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Most implemented papers

Diet Networks: Thin Parameters for Fat Genomics

adri-romsor/DietNetworks 28 Nov 2016

It is based on the idea that we can first learn or provide a distributed representation for each input feature (e. g. for each position in the genome where variations are observed), and then learn (with another neural network called the parameter prediction network) how to map a feature's distributed representation to the vector of parameters specific to that feature in the classifier neural network (the weights which link the value of the feature to each of the hidden units).

WISE: Whitebox Image Stylization by Example-based Learning

MaxReimann/WISE-Editing 29 Jul 2022

Image-based artistic rendering can synthesize a variety of expressive styles using algorithmic image filtering.

Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

HyeonwooNoh/DPPnet CVPR 2016

We tackle image question answering (ImageQA) problem by learning a convolutional neural network (CNN) with a dynamic parameter layer whose weights are determined adaptively based on questions.

Decision Trees for Decision-Making under the Predict-then-Optimize Framework

rtm2130/SPOTree ICML 2020

We consider the use of decision trees for decision-making problems under the predict-then-optimize framework.

Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks

xjtushujun/slem-theory 6 Jul 2021

Meta learning has attracted much attention recently in machine learning community.

Parameter Prediction for Unseen Deep Architectures

facebookresearch/ppuda NeurIPS 2021

We introduce a large-scale dataset of diverse computational graphs of neural architectures - DeepNets-1M - and use it to explore parameter prediction on CIFAR-10 and ImageNet.

Estimating relative diffusion from 3D micro-CT images using CNNs

cupperfreeze/rtsphem 4 Aug 2022

In the past several years, convolutional neural networks (CNNs) have proven their capability to predict characteristic quantities in porous media research directly from pore-space geometries.

ParamNet: A Parameter-variable Network for Fast Stain Normalization

khtao/paramnet 11 May 2023

The feature of parameter variable ensures that our network has a sufficient capability for various stain normalization tasks.

Controlling Geometric Abstraction and Texture for Artistic Images

MartinBuessemeyer/Artistic-Texture-Control 31 Jul 2023

We present a novel method for the interactive control of geometric abstraction and texture in artistic images.