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20092026
most citedContrastive Representation Learning: A Framework and Review

855 citations · 1.2k across the 90 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior

Phúc H. Le Khac, Graham Healy, Alan F. Smeaton

This paper addresses key challenges in object-centric representation learning of video. While existing approaches struggle with complex scenes, we propose a novel weakly-supervised…

cs.CV2024

Generative Outpainting To Enhance the Memorability of Short-Form Videos

Alan Byju, Aman Sudhindra Ladwa, Lorin Sweeney +1

With the expanding use of the short-form video format in advertising, social media, entertainment, education and more, there is a need for such media to both captivate and be remem…

cs.CY2024

Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data

Xianjuan Chen, Shuxiang Cai, Alan F. Smeaton

This study uses data from domestic electricity smart meters to estimate annual electricity bills for a whole year. We develop a method for back-filling data smart meter for up to s…

cs.CL2024

Capturing Bias Diversity in LLMs

Purva Prasad Gosavi, Vaishnavi Murlidhar Kulkarni, Alan F. Smeaton

This paper presents research on enhancements to Large Language Models (LLMs) through the addition of diversity in its generated outputs. Our study introduces a configuration of mul…

cs.SI2024★ 5 cited

Intervention strategies for misinformation sharing on social media: A bibliometric analysis

Juanita Zainudin, Nazlena Mohamad Ali, Alan F. Smeaton +1

Widely distributed misinformation shared across social media channels is a pressing issue that poses a significant threat to many aspects of society's well-being. Inaccurate shared…

cs.AI2024★ 2 cited

Understanding Foundation Models: Are We Back in 1924?

Alan F. Smeaton

This position paper explores the rapid development of Foundation Models (FMs) in AI and their implications for intelligence and reasoning. It examines the characteristics of FMs, i…