Københavns Uni

research

∙ 02/25/2019

A Survey of Crowdsourcing in Medical Image Analysis

Rapid advances in image processing capabilities have been seen across ma...

Silas Ørting, et al. ∙

research

∙ 09/13/2021

On Language Models for Creoles

Creole languages such as Nigerian Pidgin English and Haitian Creole are ...

Heather Lent, et al. ∙

research

∙ 12/02/2019

TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

While state-of-the-art NLP explainability (XAI) methods focus on supervi...

Nils Rethmeier, et al. ∙

research

∙ 06/04/2020

Uncertainty quantification in medical image segmentation with Normalizing Flows

Medical image segmentation is inherently an ambiguous task due to factor...

Raghavendra Selvan, et al. ∙

research

∙ 08/30/2021

Semi-Supervised Exaggeration Detection of Health Science Press Releases

Public trust in science depends on honest and factual communication of s...

Dustin Wright, et al. ∙

research

∙ 06/03/2020

CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning

Approaches to Grounded Language Learning typically focus on a single tas...

Alessandro Suglia, et al. ∙

research

∙ 06/19/2018

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Supervised feature learning using convolutional neural networks (CNNs) c...

Silas Nyboe Ørting, et al. ∙

research

∙ 04/13/2020

Generating Fact Checking Explanations

Most existing work on automated fact checking is concerned with predicti...

Pepa Atanasova, et al. ∙

research

∙ 05/06/2022

QLEVR: A Diagnostic Dataset for Quantificational Language and Elementary Visual Reasoning

Synthetic datasets have successfully been used to probe visual question-...

Zechen Li, et al. ∙

research

∙ 09/08/2019

Back to the Future -- Sequential Alignment of Text Representations

Language evolves over time in many ways relevant to natural language pro...

Johannes Bjerva, et al. ∙

research

∙ 02/14/2022

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Learning scientific document representations can be substantially improv...

Malte Ostendorff, et al. ∙

research

∙ 09/15/2021

Patch-based medical image segmentation using Quantum Tensor Networks

Tensor networks are efficient factorisations of high dimensional tensors...

Raghavendra Selvan, et al. ∙

research

∙ 09/13/2019

Horizontal Flows and Manifold Stochastics in Geometric Deep Learning

We introduce two constructions in geometric deep learning for 1) transpo...

Stefan Sommer, et al. ∙

research

∙ 10/03/2018

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

For proper generalization performance of convolutional neural networks (...

Mauricio Orbes-Arteaga, et al. ∙

research

∙ 08/19/2019

It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction

We propose a multi-task deep-learning approach for estimating the check-...

Slavena Vasileva, et al. ∙

research

∙ 04/29/2020

SubjQA: A Dataset for Subjectivity and Review Comprehension

Subjectivity is the expression of internal opinions or beliefs which can...

Johannes Bjerva, et al. ∙

research

∙ 10/07/2021

Moment evolution equations and moment matching for stochastic image EPDiff

Models of stochastic image deformation allow study of time-continuous st...

Alexander Christgau, et al. ∙

research

∙ 08/28/2018

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction

We introduce a novel discriminative latent-variable model for the task o...

Sebastian Ruder, et al. ∙

research

∙ 07/27/2021

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

Alongside huge volumes of research on deep learning models in NLP in the...

Anna Rogers, et al. ∙

research

∙ 07/06/2018

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

We present a convolutional network that is equivariant to rigid body mot...

Maurice Weiler, et al. ∙

research

∙ 06/18/2019

Uncovering Probabilistic Implications in Typological Knowledge Bases

The study of linguistic typology is rooted in the implications we find b...

Johannes Bjerva, et al. ∙

research

∙ 06/06/2021

Itihasa: A large-scale corpus for Sanskrit to English translation

This work introduces Itihasa, a large-scale translation dataset containi...

Rahul Aralikatte, et al. ∙

research

∙ 11/23/2017

Practical Hash Functions for Similarity Estimation and Dimensionality Reduction

Hashing is a basic tool for dimensionality reduction employed in several...

Søren Dahlgaard, et al. ∙

research

∙ 05/23/2017

Sluice networks: Learning what to share between loosely related tasks

Multi-task learning is partly motivated by the observation that humans b...

Sebastian Ruder, et al. ∙

research

∙ 09/19/2017

Deep-Learnt Classification of Light Curves

Astronomy light curves are sparse, gappy, and heteroscedastic. As a resu...

Ashish Mahabal, et al. ∙

research

∙ 10/06/2015

Population-Contrastive-Divergence: Does Consistency help with RBM training?

Estimating the log-likelihood gradient with respect to the parameters of...

Oswin Krause, et al. ∙

research

∙ 08/07/2017

Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing

Segmenting tree structures is common in several image processing applica...

Raghavendra Selvan, et al. ∙

research

∙ 12/25/2014

Protein Secondary Structure Prediction with Long Short Term Memory Networks

Prediction of protein secondary structure from the amino acid sequence i...

Søren Kaae Sønderby, et al. ∙

research

∙ 07/10/2017

Scale-Regularized Filter Learning

We start out by demonstrating that an elementary learning task, correspo...

Marco Loog, et al. ∙

research

∙ 04/15/2017

Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy

Astrophysics and cosmology are rich with data. The advent of wide-area d...

Jan Kremer, et al. ∙

research

∙ 07/04/2017

LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution

We conduct a thorough study of photometric stereo under nearby point lig...

Yvain Quéau, et al. ∙

research

∙ 05/31/2017

Bridge Simulation and Metric Estimation on Landmark Manifolds

We present an inference algorithm and connected Monte Carlo based estima...

Stefan Sommer, et al. ∙

research

∙ 08/22/2016

Multi-Dueling Bandits and Their Application to Online Ranker Evaluation

New ranking algorithms are continually being developed and refined, nece...

Brian Brost, et al. ∙

research

∙ 08/19/2016

A Strongly Quasiconvex PAC-Bayesian Bound

We propose a new PAC-Bayesian bound and a way of constructing a hypothes...

Niklas Thiemann, et al. ∙

research

∙ 11/24/2016

Extraction of airway trees using multiple hypothesis tracking and template matching

Knowledge of airway tree morphology has important clinical applications ...

Raghavendra Selvan, et al. ∙

research

∙ 04/18/2016

Most Likely Separation of Intensity and Warping Effects in Image Registration

This paper introduces a class of mixed-effects models for joint modeling...

Line Kuhnel, et al. ∙

research

∙ 07/01/2014

Significant Subgraph Mining with Multiple Testing Correction

The problem of finding itemsets that are statistically significantly enr...

Mahito Sugiyama, et al. ∙

research

∙ 01/15/2016

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures

Automatic description generation from natural images is a challenging pr...

Raffaella Bernardi, et al. ∙

research

∙ 12/23/2014

Higher-order Spatial Accuracy in Diffeomorphic Image Registration

We discretize a cost functional for image registration problems by deriv...

Henry O. Jacobs, et al. ∙

research

∙ 05/06/2012

Sparse group lasso and high dimensional multinomial classification

The sparse group lasso optimization problem is solved using a coordinate...

Martin Vincent, et al. ∙

research

∙ 11/02/2014

Geodesic Exponential Kernels: When Curvature and Linearity Conflict

We consider kernel methods on general geodesic metric spaces and provide...

Aasa Feragen, et al. ∙

research

∙ 05/17/2011

All-at-once Optimization for Coupled Matrix and Tensor Factorizations

Joint analysis of data from multiple sources has the potential to improv...

Evrim Acar, et al. ∙

research

∙ 03/29/2013

Geometric tree kernels: Classification of COPD from airway tree geometry

Methodological contributions: This paper introduces a family of kernels ...

Aasa Feragen, et al. ∙

research

∙ 07/23/2012

Towards a theory of statistical tree-shape analysis

In order to develop statistical methods for shapes with a tree-structure...

Aasa Feragen, et al. ∙

research

∙ 12/14/2011

Higher-Order Momentum Distributions and Locally Affine LDDMM Registration

To achieve sparse parametrizations that allows intuitive analysis, we ai...

Stefan Sommer, et al. ∙

research

∙ 11/15/2017

Tracking Typological Traits of Uralic Languages in Distributed Language Representations

Although linguistic typology has a long history, computational approache...

Johannes Bjerva, et al. ∙

research

∙ 09/18/2017

Limitations of Cross-Lingual Learning from Image Search

Cross-lingual representation learning is an important step in making NLP...

Mareike Hartmann, et al. ∙

research

∙ 07/16/2017

End-to-End Information Extraction without Token-Level Supervision

Most state-of-the-art information extraction approaches rely on token-le...

Rasmus Berg Palm, et al. ∙

research

∙ 04/13/2017

Cross-lingual and cross-domain discourse segmentation of entire documents

Discourse segmentation is a crucial step in building end-to-end discours...

Chloé Braud, et al. ∙

research

∙ 03/10/2017

A Study of Metrics of Distance and Correlation Between Ranked Lists for Compositionality Detection

Compositionality in language refers to how much the meaning of some phra...

Christina Lioma, et al. ∙

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