Alexander Mathews
6 papers · 2018–2023 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Natural Language Processing
(4)
Core Methods
(4)
Generation Β· Natural Language Processing
(4)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Generation Β· Computer Vision
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic
(1)
Mathematics
(1)
Models
(1)
Keywords
multimodal learning
(2)
extractive summarization
(2)
maximum mean discrepancy
(2)
visual grounding
(2)
image captioning
(2)
named entity recognition
(1)
document summarization
(1)
style transfer
(1)
language model
(1)
universal approximation
(1)
semantic representation
(1)
kernel learning
(1)
point process
(1)
multiple kernel learning
(1)
recurrent neural network
(1)
stochastic process
(1)
attention mechanism
(1)
partial differential equation
(1)
gradient-based optimization
(1)
binary classification
(1)
Papers
Factorized Fourier Neural Operators
ICLR 2023
UNIPoint: Universally Approximating Point Processes Intensities
AAAI 2021
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
EMNLP 2020
Transform and Tell: Entity-Aware News Image Captioning
CVPR 2020
Comparative Document Summarisation via Classification
AAAI 2019
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text
CVPR 2018