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