Paul Miller
8 papers · 2016–2024 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
π
Keyword Champion
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Research topics
Machine Learning
(7)
Core Methods
(6)
Deep Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Analysis
(1)
Generation
(1)
Learning Types Β· Machine Learning
(1)
Linguistics
(1)
Keywords
neural language model
(3)
semantic knowledge
(2)
recurrent neural network
(2)
representation learning
(2)
semantic representation
(1)
query efficiency
(1)
multimodal learning
(1)
optical flow
(1)
person re-identification
(1)
zero-order optimization
(1)
word meaning
(1)
distributional semantics
(1)
adversarial attack
(1)
black-box attack
(1)
feature map
(1)
deep convolutional neural network
(1)
convolutional neural network
(1)
semantic space
(1)
language model
(1)
video understanding
(1)
Papers
Hard-Label Based Small Query Black-Box Adversarial Attack
WACV 2024
Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models
NAACL 2021
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language Models
CoNLL 2020
Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks
COLING 2020
Feature2Vec: Distributional semantic modelling of human property knowledge
EMNLP 2019
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model
EMNLP 2018
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
CoNLL 2018
Recurrent Convolutional Network for Video-Based Person Re-Identification
CVPR 2016