Universität München

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The LMU is one of the most prestigious and traditional universities in Europe. It combines excellent research with a demanding range of courses.

Unsupervised Anomaly Detection for X-Ray Images

Obtaining labels for medical (image) data requires scarce and expensive ...
01/29/2020 ∙ by Diana Davletshina, et al. ∙ 74 ∙ share

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Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck

In this paper, we present an in-depth investigation of the convolutional...
11/18/2019 ∙ by Ilja Manakov, et al. ∙ 35 ∙ share

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Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning

In industrial applications, the early detection of malfunctioning factor...
06/05/2020 ∙ by Robert Müller, et al. ∙ 26 ∙ share

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A General Machine Learning Framework for Survival Analysis

The modeling of time-to-event data, also known as survival analysis, req...
06/27/2020 ∙ by Andreas Bender, et al. ∙ 22 ∙ share

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Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation

Successful methods for unsupervised neural machine translation (UNMT) em...
03/18/2021 ∙ by Alexandra Chronopoulou, et al. ∙ 21 ∙ share

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Policy Entropy for Out-of-Distribution Classification

One critical prerequisite for the deployment of reinforcement learning s...
05/25/2020 ∙ by Andreas Sedlmeier, et al. ∙ 19 ∙ share

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Semi-Structured Deep Piecewise Exponential Models

We propose a versatile framework for survival analysis that combines adv...
11/11/2020 ∙ by Philipp Kopper, et al. ∙ 12 ∙ share

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Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning

Robustness to out-of-distribution (OOD) data is an important goal in bui...
12/31/2019 ∙ by Andreas Sedlmeier, et al. ∙ 11 ∙ share

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Multipurpose Intelligent Process Automation via Conversational Assistant

Intelligent Process Automation (IPA) is an emerging technology with a pr...
01/07/2020 ∙ by Alena Moiseeva, et al. ∙ 9 ∙ share

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Deep learning to represent sub-grid processes in climate models

The representation of nonlinear sub-grid processes, especially clouds, h...
06/12/2018 ∙ by Stephan Rasp, et al. ∙ 6 ∙ share

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Trajectory annotation using sequences of spatial perception

In the near future, more and more machines will perform tasks in the vic...
04/11/2020 ∙ by Sebastian Feld, et al. ∙ 6 ∙ share

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Tensor Decompositions for Modeling Inverse Dynamics

Modeling inverse dynamics is crucial for accurate feedforward robot cont...
11/13/2017 ∙ by Stephan Baier, et al. ∙ 0 ∙ share

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Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms

The evolutionary edit distance between two individuals in a population, ...
04/27/2017 ∙ by Thomas Gabor, et al. ∙ 0 ∙ share

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Improved Neural Relation Detection for Knowledge Base Question Answering

Relation detection is a core component for many NLP applications includi...
04/20/2017 ∙ by Mo Yu, et al. ∙ 0 ∙ share

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Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization

One-shot pose estimation for tasks such as body joint localization, came...
08/06/2017 ∙ by Huseyin Coskun, et al. ∙ 0 ∙ share

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Stacked Thompson Bandits

We introduce Stacked Thompson Bandits (STB) for efficiently generating p...
02/28/2017 ∙ by Lenz Belzner, et al. ∙ 0 ∙ share

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Bayesian Verification under Model Uncertainty

Machine learning enables systems to build and update domain models based...
02/28/2017 ∙ by Lenz Belzner, et al. ∙ 0 ∙ share

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Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities

Entities are essential elements of natural language. In this paper, we p...
01/08/2017 ∙ by Yadollah Yaghoobzadeh, et al. ∙ 0 ∙ share

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To tune or not to tune the number of trees in random forest?

The number of trees T in the random forest (RF) algorithm for supervised...
05/16/2017 ∙ by Philipp Probst, et al. ∙ 0 ∙ share

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OpenML: An R Package to Connect to the Machine Learning Platform OpenML

OpenML is an online machine learning platform where researchers can easi...
01/05/2017 ∙ by Giuseppe Casalicchio, et al. ∙ 0 ∙ share

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Qualitative Assessment of Recurrent Human Motion

Smartphone applications designed to track human motion in combination wi...
03/07/2017 ∙ by Andre Ebert, et al. ∙ 0 ∙ share

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Type-Constrained Representation Learning in Knowledge Graphs

Large knowledge graphs increasingly add value to various applications th...
08/11/2015 ∙ by Denis Krompass, et al. ∙ 0 ∙ share

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Minimizing the Number of Matching Queries for Object Retrieval

To increase the computational efficiency of interest-point based object ...
12/18/2014 ∙ by Johannes Niedermayer, et al. ∙ 0 ∙ share

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Impact of Coreference Resolution on Slot Filling

In this paper, we demonstrate the importance of coreference resolution f...
10/26/2017 ∙ by Heike Adel, et al. ∙ 0 ∙ share

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Attentive Convolution

In NLP, convolution neural networks (CNNs) have benefited less than recu...
10/02/2017 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Semantic Word Clouds with Background Corpus Normalization and t-distributed Stochastic Neighbor Embedding

Many word clouds provide no semantics to the word placement, but use a r...
08/11/2017 ∙ by Erich Schubert, et al. ∙ 0 ∙ share

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Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

We introduce globally normalized convolutional neural networks for joint...
07/24/2017 ∙ by Heike Adel, et al. ∙ 0 ∙ share

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Modeling Target-Side Inflection in Neural Machine Translation

NMT systems have problems with large vocabulary sizes. Byte-pair encodin...
07/19/2017 ∙ by Aleš Tamchyna, et al. ∙ 0 ∙ share

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German in Flux: Detecting Metaphoric Change via Word Entropy

This paper explores the information-theoretic measure entropy to detect ...
06/15/2017 ∙ by Dominik Schlechtweg, et al. ∙ 0 ∙ share

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Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models

We present a semi-supervised way of training a character-based encoder-d...
05/17/2017 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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One-Shot Neural Cross-Lingual Transfer for Paradigm Completion

We present a novel cross-lingual transfer method for paradigm completion...
03/31/2017 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Comparative Study of CNN and RNN for Natural Language Processing

Deep neural networks (DNN) have revolutionized the field of natural lang...
02/07/2017 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching

This work studies comparatively two typical sentence matching tasks: tex...
01/09/2017 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Noise Mitigation for Neural Entity Typing and Relation Extraction

In this paper, we address two different types of noise in information ex...
12/22/2016 ∙ by Yadollah Yaghoobzadeh, et al. ∙ 0 ∙ share

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Exploring Different Dimensions of Attention for Uncertainty Detection

Neural networks with attention have proven effective for many natural la...
12/20/2016 ∙ by Heike Adel, et al. ∙ 0 ∙ share

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Neural Multi-Source Morphological Reinflection

We explore the task of multi-source morphological reinflection, which ge...
12/19/2016 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Target-Side Context for Discriminative Models in Statistical Machine Translation

Discriminative translation models utilizing source context have been sho...
07/05/2016 ∙ by Aleš Tamchyna, et al. ∙ 0 ∙ share

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Intrinsic Subspace Evaluation of Word Embedding Representations

We introduce a new methodology for intrinsic evaluation of word represen...
06/25/2016 ∙ by Yadollah Yaghoobzadeh, et al. ∙ 0 ∙ share

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Corpus-level Fine-grained Entity Typing Using Contextual Information

This paper addresses the problem of corpus-level entity typing, i.e., in...
06/25/2016 ∙ by Yadollah Yaghoobzadeh, et al. ∙ 0 ∙ share

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Simple Question Answering by Attentive Convolutional Neural Network

This work focuses on answering single-relation factoid questions over Fr...
06/10/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection

Morphological reinflection is the task of generating a target form given...
06/02/2016 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Combining Recurrent and Convolutional Neural Networks for Relation Classification

This paper investigates two different neural architectures for the task ...
05/24/2016 ∙ by Ngoc Thang Vu, et al. ∙ 0 ∙ share

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Why and How to Pay Different Attention to Phrase Alignments of Different Intensities

This work studies comparatively two typical sentence pair classification...
04/23/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Discriminative Phrase Embedding for Paraphrase Identification

This work, concerning paraphrase identification task, on one hand contri...
04/02/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Online Updating of Word Representations for Part-of-Speech Tagging

We propose online unsupervised domain adaptation (DA), which is performe...
04/02/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Comparing Convolutional Neural Networks to Traditional Models for Slot Filling

We address relation classification in the context of slot filling, the t...
03/16/2016 ∙ by Heike Adel, et al. ∙ 0 ∙ share

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Multichannel Variable-Size Convolution for Sentence Classification

We propose MVCNN, a convolution neural network (CNN) architecture for se...
03/15/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Ultradense Word Embeddings by Orthogonal Transformation

Embeddings are generic representations that are useful for many NLP task...
02/24/2016 ∙ by Sascha Rothe, et al. ∙ 0 ∙ share

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Corpus analysis without prior linguistic knowledge - unsupervised mining of phrases and subphrase structure

When looking at the structure of natural language, "phrases" and "words"...
02/18/2016 ∙ by Stefan Gerdjikov, et al. ∙ 0 ∙ share

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Attention-Based Convolutional Neural Network for Machine Comprehension

Understanding open-domain text is one of the primary challenges in natur...
02/13/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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