Results 51 to 60 of about 30,335 (256)
Comprehensive Review of Opinion Summarization [PDF]
, 2011 The abundance of opinions on the web has kindled the study of opinion summarization over the last few years. People have introduced various techniques and paradigms to solving this special task.
Ganesan, Kavita +3 more
core
Deep Metric Learning with Angular Loss
, 2017 The modern image search system requires semantic understanding of image, and a key yet under-addressed problem is to learn a good metric for measuring the similarity between images.
Lin, Yuanqing +4 more
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
IEEE AccessGraph Contrastive Learning (GCL) has rapidly emerged as a key technique in self-supervised representation learning for graph-structured data. It addresses the scarcity of labeled data across domains such as recommender systems, bioinformatics, and social
Nazmul Hossain +3 more
doaj +1 more source
Identifying First-person Camera Wearers in Third-person Videos
, 2017 We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wearing body-worn cameras while a third-person static camera also captures ...
Crandall, David J. +6 more
core +1 more source
Certifiably Robust Graph Contrastive Learning
, 2023 Graph Contrastive Learning (GCL) has emerged as a popular unsupervised graph representation learning method. However, it has been shown that GCL is vulnerable to adversarial attacks on both the graph structure and node attributes. Although empirical approaches have been proposed to enhance the robustness of GCL, the certifiable robustness of GCL is ...
Lin, Minhua +4 more
openaire +2 more sources
Graph Self-Contrast Representation Learning
2023 IEEE International Conference on Data Mining (ICDM), 2023 Graph contrastive learning (GCL) has recently emerged as a promising approach for graph representation learning. Some existing methods adopt the 1-vs-K scheme to construct one positive and K negative samples for each graph, but it is difficult to set K.
Chen, Minjie +4 more
openaire +2 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Self-reported problems of L1 and L2 college writers: what can writing instructors do? [PDF]
, 2011 Understanding self-reported problems of L1 and L2 writers regarding the writing process holds important pedagogical implications for instructors to address their students’ specific writing needs.
Bekar, Mira
core
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source