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07/29/2022
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
It is common practice to reuse models initially trained on different dat...
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07/19/2022
Similarity of Pre-trained and Fine-tuned Representations
In transfer learning, only the last part of the networks - the so-called...
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06/10/2021
A modular framework for object-based saccadic decisions in dynamic scenes
Visually exploring the world around us is not a passive process. Instead...
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05/12/2021
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning
In past years model-agnostic meta-learning (MAML) has been one of the mo...
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10/01/2019
Training Generative Networks with general Optimal Transport distances
We propose a new algorithm that uses an auxiliary Neural Network to calc...
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03/29/2019
Joining Sound Event Detection and Localization Through Spatial Segregation
Identification and localization of sounds are both integral parts of com...
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02/21/2019
The NIGENS General Sound Events Database
Computational auditory scene analysis is gaining interest in the last ye...
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12/22/2016
Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning
This paper investigates a type of instability that is linked to the gree...
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12/19/2014
Regression with Linear Factored Functions
Many applications that use empirically estimated functions face a curse ...
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04/19/2012
Learning in Riemannian Orbifolds
Learning in Riemannian orbifolds is motivated by existing machine learni...
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10/28/2011
Risk-sensitive Markov control processes
We introduce a general framework for measuring risk in the context of Ma...
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09/22/2011
Probabilistic prototype models for attributed graphs
This contribution proposes a new approach towards developing a class of ...
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01/06/2011
Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem
This contribution extends the Bron Kerbosch algorithm for solving the ma...
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01/06/2010
Accelerating Competitive Learning Graph Quantization
Vector quantization(VQ) is a lossy data compression technique from signa...
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01/06/2010
Graph Quantization
Vector quantization(VQ) is a lossy data compression technique from signa...
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12/23/2009
Elkan's k-Means for Graphs
This paper extends k-means algorithms from the Euclidean domain to the d...
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12/23/2009