
A Survey of Crowdsourcing in Medical Image Analysis
Rapid advances in image processing capabilities have been seen across ma...
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TXRay: Quantifying and Explaining ModelKnowledge Transfer in (Un)Supervised NLP
While stateoftheart NLP explainability (XAI) methods focus on supervi...
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Uncertainty quantification in medical image segmentation with Normalizing Flows
Medical image segmentation is inherently an ambiguous task due to factor...
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CompGuessWhat?!: A Multitask Evaluation Framework for Grounded Language Learning
Approaches to Grounded Language Learning typically focus on a single tas...
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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...
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Generating Fact Checking Explanations
Most existing work on automated fact checking is concerned with predicti...
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Back to the Future  Sequential Alignment of Text Representations
Language evolves over time in many ways relevant to natural language pro...
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Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
We introduce two constructions in geometric deep learning for 1) transpo...
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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation
For proper generalization performance of convolutional neural networks (...
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It Takes Nine to Smell a Rat: Neural MultiTask Learning for CheckWorthiness Prediction
We propose a multitask deeplearning approach for estimating the check...
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SubjQA: A Dataset for Subjectivity and Review Comprehension
Subjectivity is the expression of internal opinions or beliefs which can...
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A Discriminative LatentVariable Model for Bilingual Lexicon Induction
We introduce a novel discriminative latentvariable model for the task o...
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3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
We present a convolutional network that is equivariant to rigid body mot...
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Uncovering Probabilistic Implications in Typological Knowledge Bases
The study of linguistic typology is rooted in the implications we find b...
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Practical Hash Functions for Similarity Estimation and Dimensionality Reduction
Hashing is a basic tool for dimensionality reduction employed in several...
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Sluice networks: Learning what to share between loosely related tasks
Multitask learning is partly motivated by the observation that humans b...
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DeepLearnt Classification of Light Curves
Astronomy light curves are sparse, gappy, and heteroscedastic. As a resu...
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PopulationContrastiveDivergence: Does Consistency help with RBM training?
Estimating the loglikelihood gradient with respect to the parameters of...
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Extraction of Airways with Probabilistic Statespace Models and Bayesian Smoothing
Segmenting tree structures is common in several image processing applica...
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Protein Secondary Structure Prediction with Long Short Term Memory Networks
Prediction of protein secondary structure from the amino acid sequence i...
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ScaleRegularized Filter Learning
We start out by demonstrating that an elementary learning task, correspo...
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Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy
Astrophysics and cosmology are rich with data. The advent of widearea d...
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LEDbased Photometric Stereo: Modeling, Calibration and Numerical Solution
We conduct a thorough study of photometric stereo under nearby point lig...
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Bridge Simulation and Metric Estimation on Landmark Manifolds
We present an inference algorithm and connected Monte Carlo based estima...
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MultiDueling Bandits and Their Application to Online Ranker Evaluation
New ranking algorithms are continually being developed and refined, nece...
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A Strongly Quasiconvex PACBayesian Bound
We propose a new PACBayesian bound and a way of constructing a hypothes...
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Extraction of airway trees using multiple hypothesis tracking and template matching
Knowledge of airway tree morphology has important clinical applications ...
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Most Likely Separation of Intensity and Warping Effects in Image Registration
This paper introduces a class of mixedeffects models for joint modeling...
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Significant Subgraph Mining with Multiple Testing Correction
The problem of finding itemsets that are statistically significantly enr...
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Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Automatic description generation from natural images is a challenging pr...
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Higherorder Spatial Accuracy in Diffeomorphic Image Registration
We discretize a cost functional for image registration problems by deriv...
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Sparse group lasso and high dimensional multinomial classification
The sparse group lasso optimization problem is solved using a coordinate...
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Geodesic Exponential Kernels: When Curvature and Linearity Conflict
We consider kernel methods on general geodesic metric spaces and provide...
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Allatonce Optimization for Coupled Matrix and Tensor Factorizations
Joint analysis of data from multiple sources has the potential to improv...
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Geometric tree kernels: Classification of COPD from airway tree geometry
Methodological contributions: This paper introduces a family of kernels ...
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Towards a theory of statistical treeshape analysis
In order to develop statistical methods for shapes with a treestructure...
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HigherOrder Momentum Distributions and Locally Affine LDDMM Registration
To achieve sparse parametrizations that allows intuitive analysis, we ai...
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Tracking Typological Traits of Uralic Languages in Distributed Language Representations
Although linguistic typology has a long history, computational approache...
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Limitations of CrossLingual Learning from Image Search
Crosslingual representation learning is an important step in making NLP...
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EndtoEnd Information Extraction without TokenLevel Supervision
Most stateoftheart information extraction approaches rely on tokenle...
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Crosslingual and crossdomain discourse segmentation of entire documents
Discourse segmentation is a crucial step in building endtoend discours...
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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...
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Identifying beneficial task relations for multitask learning in deep neural networks
Multitask learning (MTL) in deep neural networks for NLP has recently r...
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Improving sentence compression by learning to predict gaze
We show how eyetracking corpora can be used to improve sentence compres...
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Euclidean Distance Degree for Chemical Reaction Networks
In this paper we investigate the complexity of model selection and model...
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Learning Large Scale Ordinary Differential Equation Systems
Learning large scale nonlinear ordinary differential equation (ODE) syst...
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Consfree Programming with Immutable Functions
We investigate the power of nondeterminism in purely functional program...
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Computational Anatomy in Theano
To model deformation of anatomical shapes, nonlinear statistics are req...
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Stochastic Development Regression on NonLinear Manifolds
We introduce a regression model for data on nonlinear manifolds. The mo...
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Nondeterministic Characterisations
In this paper, we extend Jones' result  that consfree programming wit...
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