Noel E. O'Connor
7 papers · 2016–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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The Questioner
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Trend Setter
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Research topics
Deep Learning
(5)
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Analysis
(3)
Core AI · Artificial Intelligence
(3)
Core Methods
(3)
Knowledge & Reasoning
(2)
Application Areas
(2)
Architectures
(2)
Representation
(2)
Techniques
(2)
Core AI · Computer Vision
(1)
Keywords
transfer learning
(2)
convolutional neural network
(2)
label noise
(2)
contrastive learning
(2)
representation learning
(2)
vision-language model
(2)
cross-modal learning
(1)
vision-language alignment
(1)
semi-supervised learning
(1)
multimodal learning
(1)
noisy label learning
(1)
robust classification
(1)
zero-shot learning
(1)
explainable ai
(1)
real-time learning
(1)
graph matching
(1)
cross-modal retrieval
(1)
saliency map
(1)
object counting
(1)
domain adaptation
(1)
Papers
CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins
IJCAI 2025
Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment
CVPR 2025
Do Vision and Language Encoders Represent the World Similarly?
CVPR 2024
Addressing Out-of-Distribution Label Noise in Webly-Labelled Data
WACV 2022
Multi-Objective Interpolation Training for Robustness To Label Noise
CVPR 2021
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting
CVPR 2018
Shallow and Deep Convolutional Networks for Saliency Prediction
CVPR 2016