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Produktbild: Generalizing from Limited Resources in the Open World
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Generalizing from Limited Resources in the Open World Third International Workshop, GLOW 2025, Held in Conjunction with IJCAI 2025, Montreal, Canada, August 16–22, 2025, Proceedings

Aus der Reihe Communications in Computer and Information Science

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Beschreibung

This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.

The 12 full...

Beschreibung

This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.


The 12 full papers in this book were carefully reviewed and selected from 27 submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial intelligence models. We concentrated on both data-efficient strategies, such as zero/few-shot learning and domain adaptation, as well as model-efficient approaches like model sparsification and compact model design.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

15.08.2025
Abbildungen

X, 196 p. 48 illus., 47 illus. in color.
Herausgeber Yuqing Ma + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

15.08.2025
Abbildungen

X, 196 p. 48 illus., 47 illus. in color.
Herausgeber
Verlag Springer Singapore
Seitenzahl

196
Maße (L/B/H)

23,5/15,5/1,2 cm
Gewicht

324 g
Auflage

1. Auflage
Sprache

Englisch
ISBN

978-981-9509-87-4
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Generalizing from Limited Resources in the Open World

  • .- Evaluating the Behavior of Small Language Models in Answering



    Binary Question.


    .- Event-Priori-Based Vision-Language Model for Efficient Visual



    Understanding.


    .- Prompt-Tuning Bandits: Enabling Few-Shot Generalization for Efficient



    Multi-Task Offline RL.


    .- GateLIP-X:Balancing Adaptation and Generalization in CLIP for



    Real-World via a Training-Free Framework.


    .- QSE: Mitigating LLM Hallucinations through Query-adaptive



    Saliency-localized Activation Editing.


    .- Meta-Learning with Heterogeneous Tasks.


    .- DIN: Dynamical Interaction Network for Multi-Station Multi-Variable



    Weather Prediction.


    .- Towards Inclusive NLP: Assessing Compressed Multilingual



    Transformers across Diverse Language Benchmarks.


    .- Knowledge-Guided Structured Pruning for Multimodal Language Models .


    .- Vision Transformers for End-to-End Quark-Gluon Jet Classification



    from Calorimeter Images.


    .- Special solutions with small volume exist.


    .- Adaptive Contextual Embedding for Robust Far-View Borehole



    Detection.


    .- Class-Aware Sinkhorn-DRO for Few-Shot Domain Adaptation.