Luisa M Zintgraf | DeepAI

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∙ 02/16/2022

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients

Pruning neural networks at initialization would enable us to find sparse...

0 Milad Alizadeh, et al. ∙

∙ 03/17/2021

A Practical Guide to Multi-Objective Reinforcement Learning and Planning

Real-world decision-making tasks are generally complex, requiring trade-...

55 Conor F. Hayes, et al. ∙

∙ 10/08/2018

CAML: Fast Context Adaptation via Meta-Learning

We propose CAML, a meta-learning method for fast adaptation that partiti...

2 Luisa M Zintgraf, et al. ∙

∙ 02/21/2018

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

In multi-objective decision planning and learning, much attention is pai...

0 Luisa M Zintgraf, et al. ∙

∙ 02/15/2017

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

This article presents the prediction difference analysis method for visu...

0 Luisa M Zintgraf, et al. ∙

∙ 03/08/2016

A New Method to Visualize Deep Neural Networks

We present a method for visualising the response of a deep neural networ...

0 Luisa M Zintgraf, et al. ∙

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