Results 101 to 110 of about 16,806 (262)

Temporal–Semantic Aligning and Reasoning Transformer for Audio-Visual Zero-Shot Learning

Mathematics
Zero-shot learning (ZSL) enables models to recognize categories not encountered during training, which is crucial for categories with limited data. Existing methods overlook efficient temporal modeling in multimodal data.
Kaiwen Zhang, Kunchen Zhao, Yunong Tian
doaj   +1 more source

Zero-Shot Off-Policy Learning

CoRR
Off-policy learning methods seek to derive an optimal policy directly from a fixed dataset of prior interactions. This objective presents significant challenges, primarily due to the inherent distributional shift and value function overestimation bias. These issues become even more noticeable in zero-shot reinforcement learning, where an agent trained ...
Arip Asadulaev, Maksim Bobrin, Salem Lahlou, Dmitry V. Dylov, Fakhri Karray, Martin Takác 0001   +5 more
openaire   +3 more sources

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Zero‐shot learning by exploiting class‐related and attribute‐related prior knowledge

IET Computer Vision, 2016
The existing attribute‐based zero‐shot learning models at different levels ignore some necessary prior knowledge. It is essential to improve classification accuracy of zero‐shot learning that how to mine attribute‐related and class‐related prior ...
Xuesong Wang, Chen Chen, Yuhu Cheng
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

RSplitzero: generalized zero-shot learning in remote sensing across attribute splits with single and multi-modal representations

International Journal of Digital Earth
Zero-shot learning (ZSL) emerged as a way to classify unseen categories using semantic knowledge from known ones. While widely studied in computer vision, its use in remote sensing (RS) is still limited.
Lorenzo Stacchio, Lindo Nepi, Marina Paolanti, Roberto Pierdicca   +3 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo

Proceedings of the International Florida Artificial Intelligence Research Society Conference
In this paper, we address zero-shot sentiment analysis for Oromo, a low-resource language spoken in East Africa, as part of SemEval-2023 Task 12 (Zero-Shot on Oromo).
Linrui Zhang, Qixiang Pang, Belinda Copus   +2 more
doaj  

ClusterE-ZSL: A Novel Cluster-Based Embedding for Enhanced Zero-Shot Learning in Contrastive Pre-Training Cross-Modal Retrieval

IEEE Access
Zero-shot learning (ZSL) in a multi-model environment presents significant challenges and opportunities for improving cross-modal retrieval and object detection in unseen data.
Umair Tariq, Zonghai Hu, Khawaja Tauseef Tasneem, Md Belal Bin Heyat, Muhammad Shahid Iqbal, Kamran Aziz   +5 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source