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Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning

Artificial intelligence, 2024-08, Vol.333, p.104147, Article 104147

2024

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Open-world electrocardiogram classification via domain knowledge-driven contrastive learning

Neural networks, 2024-11, Vol.179, p.106551, Article 106551

2024

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Open-world structured sequence learning via dense target encoding

Information sciences, 2024-10, Vol.680, p.121147, Article 121147

2024

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Bayesian Embeddings for Few-Shot Open World Recognition

IEEE transactions on pattern analysis and machine intelligence, 2024-03, Vol.46 (3), p.1513-1529

2024

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A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning

Neural networks, 2023-03, Vol.160, p.306-336

2023

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NovPhy: A Physical Reasoning Benchmark for Open-world AI Systems

Artificial intelligence, 2024-08, p.104198, Article 104198

2024

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Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects

Neurocomputing (Amsterdam), 2024-09, Vol.599, p.128073, Article 128073

2024

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Open-world Machine Learning: Applications, Challenges, and Opportunities

ACM computing surveys, 2023-10, Vol.55 (10), p.1-37, Article 205

2023

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OW-TAL: Learning Unknown Human Activities for Open-World Temporal Action Localization

Pattern recognition, 2023-01, Vol.133, p.109027, Article 109027

2023

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OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples

IEEE transactions on visualization and computer graphics, 2024-01, Vol.30 (1), p.1-11

2024

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A domain-independent agent architecture for adaptive operation in evolving open worlds

Artificial intelligence, 2024-09, Vol.334, p.104161, Article 104161

2024

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Open-World Graph Active Learning for Node Classification

ACM transactions on knowledge discovery from data, 2023-11, Vol.18 (2), p.1-20, Article 43

2023

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Physics-Based Novel Task Generation through Disrupting and Constructing Causal Interactions

IEEE transactions on games, 2024, p.1-13

2024

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OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices

IEEE internet of things journal, 2024-08, Vol.11 (15), p.25880-25894

2024

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OpenWGL: open-world graph learning for unseen class node classification

Knowledge and information systems, 2021-09, Vol.63 (9), p.2405-2430

2021

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Open-World Learning for Traffic Scenarios Categorisation

IEEE transactions on intelligent vehicles, 2023-05, Vol.8 (5), p.1-16

2023

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An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits

Multi-Disciplinary Trends in Artificial Intelligence, 2021, Vol.12832, p.27-33

2021

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A machine learning based framework to identify unseen classes in open-world text classification

Information processing & management, 2023-03, Vol.60 (2), p.103214, Article 103214

2023

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Open-world Learning and Application to Product Classification

The World Wide Web Conference, 2019, p.3413-3419

2019

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The Difficulty of Novelty Detection and Adaptation in Physical Environments

AI 2023: Advances in Artificial Intelligence, p.28-40

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Detecting Sequentially Novel Classes with Stable Generalization Ability

Advances in Knowledge Discovery and Data Mining, p.371-382

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Promote knowledge mining towards open-world semi-supervised learning

Pattern recognition, 2024-05, Vol.149, p.110259, Article 110259

2024

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An Interactive Interface for Novel Class Discovery in Tabular Data

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, p.295-299

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Prediction consistency regularization for Generalized Category Discovery

Information fusion, 2024-12, Vol.112, p.102547, Article 102547

2024

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OWI: Open-World Intent Identification Framework for Dialog Based System

Big Data Analytics, p.329-343

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Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning

Open-world electrocardiogram classification via domain knowledge-driven contrastive learning

Open-world structured sequence learning via dense target encoding

Bayesian Embeddings for Few-Shot Open World Recognition

A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning

NovPhy: A Physical Reasoning Benchmark for Open-world AI Systems

Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects

Open-world Machine Learning: Applications, Challenges, and Opportunities

OW-TAL: Learning Unknown Human Activities for Open-World Temporal Action Localization

OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples

A domain-independent agent architecture for adaptive operation in evolving open worlds

Open-World Graph Active Learning for Node Classification

Physics-Based Novel Task Generation through Disrupting and Constructing Causal Interactions

OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices

OpenWGL: open-world graph learning for unseen class node classification

Open-World Learning for Traffic Scenarios Categorisation

An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits

A machine learning based framework to identify unseen classes in open-world text classification

Open-world Learning and Application to Product Classification

The Difficulty of Novelty Detection and Adaptation in Physical Environments

Detecting Sequentially Novel Classes with Stable Generalization Ability

Promote knowledge mining towards open-world semi-supervised learning

An Interactive Interface for Novel Class Discovery in Tabular Data

Prediction consistency regularization for Generalized Category Discovery

OWI: Open-World Intent Identification Framework for Dialog Based System

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