Markus Holzleitner | DeepAI

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∙ 05/02/2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

We study the problem of choosing algorithm hyper-parameters in unsupervi...

7 Marius-Constantin Dinu, et al. ∙

∙ 02/09/2023

Domain Generalization by Functional Regression

The problem of domain generalization is to learn, given data from differ...

0 Markus Holzleitner, et al. ∙

∙ 06/07/2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space

We introduce SubGD, a novel few-shot learning method which is based on t...

5 Martin Gauch, et al. ∙

∙ 05/24/2022

History Compression via Language Models in Reinforcement Learning

In a partially observable Markov decision process (POMDP), an agent typi...

5 Fabian Paischer, et al. ∙

∙ 01/13/2021

MC-LSTM: Mass-Conserving LSTM

The success of Convolutional Neural Networks (CNNs) in computer vision i...

13 Pieter-Jan Hoedt, et al. ∙

∙ 12/02/2020

Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER

We prove under commonly used assumptions the convergence of actor-critic...

4 Markus Holzleitner, et al. ∙

∙ 07/16/2020

Hopfield Networks is All You Need

We show that the transformer attention mechanism is the update rule of a...

0 Hubert Ramsauer, et al. ∙

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