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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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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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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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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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Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies

2024 International Joint Conference on Neural Networks (IJCNN), 2024, p.1-10

2024

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Active Generalized Category Discovery

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, p.16890-16900

2024

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Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning

Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, p.1323-1325

2024

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OpenWGL: Open-World Graph Learning

2020 IEEE International Conference on Data Mining (ICDM), 2020, p.681-690

2020

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A Method for Discovering Novel Classes in Tabular Data

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.265-274

2022

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A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences

2022 IEEE International Conference on Data Mining (ICDM), 2022, p.703-712

2022

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An Open-World Time-Series Sensing Framework for Embedded Edge Devices

2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2022, p.61-70

2022

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Open World Learning Graph Convolution for Latency Estimation in Routing Networks

2022 International Joint Conference on Neural Networks (IJCNN), 2022, p.1-8

2022

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Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games

2021 IEEE Conference on Games (CoG), 2021, p.1-8

2021

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Targeted Representation Alignment for Open-World Semi-Supervised Learning

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, p.23072-23082

2024

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DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, p.28505-28514

2024

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Open-World Semi-Supervised Learning for Node Classification

2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024, p.2723-2736

2024

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Robust Semi-Supervised Learning for Self-learning Open-World Classes

2023 IEEE International Conference on Data Mining (ICDM), 2023, p.658-667

2023

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Recent Advances in Open Set Recognition: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2021-10, Vol.43 (10), p.3614-3631

2021

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MOOCs: So Many Learners, So Much Potential

IEEE intelligent systems, 2013-05, Vol.28 (3), p.70-77

2013

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From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning

IEEE transactions on pattern analysis and machine intelligence, 2023-08, Vol.45 (8), p.9757-9773

2023

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The Extreme Value Machine

IEEE transactions on pattern analysis and machine intelligence, 2018-03, Vol.40 (3), p.762-768

2018

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Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

IEEE transactions on pattern analysis and machine intelligence, 2024-03, Vol.46 (3), p.1545-1560

2024

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DOMR: Towards Deep Open-world Malware Recognition

IEEE transactions on information forensics and security, 2023-11, p.1-1

2023

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DOMR: Toward Deep Open-World Malware Recognition

IEEE transactions on information forensics and security, 2024, Vol.19, p.1455-1468

2024

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Bayesian Embeddings for Few-Shot Open World Recognition

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

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

Open-World Learning for Traffic Scenarios Categorisation

Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies

Active Generalized Category Discovery

Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning

OpenWGL: Open-World Graph Learning

A Method for Discovering Novel Classes in Tabular Data

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences

An Open-World Time-Series Sensing Framework for Embedded Edge Devices

Open World Learning Graph Convolution for Latency Estimation in Routing Networks

Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games

Targeted Representation Alignment for Open-World Semi-Supervised Learning

DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning

Open-World Semi-Supervised Learning for Node Classification

Robust Semi-Supervised Learning for Self-learning Open-World Classes

Recent Advances in Open Set Recognition: A Survey

MOOCs: So Many Learners, So Much Potential

From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning

The Extreme Value Machine

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

DOMR: Towards Deep Open-world Malware Recognition

DOMR: Toward Deep Open-World Malware Recognition

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