AI BriefingLG AI Research news
The latest AI and developer news from LG AI Research, with short summaries.
Visit website →LG AI Research: A New Approach to Learning Tabular Data
LG AI Research has unveiled a self-supervised learning technique using Binning to overcome the limitations of Tabular Data.
[NeurIPS 2023] Out-of-Distribution Detection via Synthetic Outlier Generation (Part 2)
Introduces recent research that improves OOD detection performance by generating synthetic outliers in the text and image domains.
[NeurIPS 2023] OOD Detection via Synthetic Outlier Generation (Part 1) - LG AI Research BLOG
LG AI Research proposed an OOD detection methodology that generates sophisticated synthetic outliers using a Diffusion model.
[NeurIPS 2023] Trends in Score-based Generative Modeling - LG AI Research BLOG
This post analyzes the research trends in architecture and downstream tasks for Score-based Generative Modeling presented at NeurIPS 2023.
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Introducing the multimodal generative technologies that drew attention at NeurIPS 2023 and LG AI Research's music generation interface.
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Introduces industrial anomaly detection technology and the PatchCore algorithm for quality control in manufacturing processes.
[NeurIPS 2023] LLM-based Autonomous Agents - LG AI Research Blog
Introduces the key research trends in LLM-based autonomous agents presented at NeurIPS 2023.
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Introduces research that improves visual OOD detection performance by generating text-based outliers using LLMs.
[NeurIPS 2023] OOD Detection via Synthetic Outlier Generation Part 1 - LG AI Research BLOG
LG AI Research unveiled research that improves OOD detection performance by generating sophisticated synthetic outliers using a Diffusion model.
LG AI Research: Research Trends in Score-based Generative Models at NeurIPS 2023
This piece looks at research trends in the architecture and downstream tasks of score-based generative models presented at NeurIPS 2023.
LG AI Research: Industrial Anomaly Detection Technology
Introduces deep learning-based anomaly detection technology for quality control in manufacturing processes, along with the PatchCore and ReConPatch algorithms.
LG AI Research: 3D Human Pose and Shape Estimation Research
LG AI Research has proposed a framework that efficiently handles complex spatiotemporal relationships in video to precisely estimate 3D human pose and shape.
LG AI Research: 3D Human Pose and Shape Estimation Research
By efficiently modeling spatio-temporal relationships, the team developed a robust 3D human pose and shape estimation technology that performs well even in complex environments.
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Introduces innovative time series forecasting AI models presented at ICLR 2024 and LG AI Research's research vision.
[ICLR 2024] Advances in Time Series Forecasting - LG AI Research Blog
It introduces the methodologies and technical characteristics of innovative time series forecasting models presented at ICLR 2024.
LG AI Research: The Rise and Classification of Time Series Foundation Models
This piece examines the concept of foundation models for handling time series data and their classification based on how they utilize LLMs.
LG AI Research: Trends in Time Series Foundation Models
This introduces the latest research methodologies of Foundation models for tackling time series data, classified according to how they utilize LLMs.
LG AI Research Wins 1st Place in EHRSQL Task at NAACL 2024 ClinicalNLP Workshop
LG AI Research and KAIST took first place in the EHRSQL task at NAACL 2024 with a highly reliable Text-to-SQL model for extracting medical data.
LG AI Research Wins 1st Place at the EHRSQL Task in the NAACL 2024 ClinicalNLP Workshop
LG AI Research, together with KAIST, took 1st place at the NAACL 2024 workshop with a reliable Text-to-SQL model that improves access to medical data.
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At ICLR 2024, LG AI Research introduced LeSS, a new model compression technique that combines filter pruning and low-rank decomposition.