paper-with-me

홈 › Papers

A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts

2015-05-01 · HLT 2015 5 · William Schuler, Lifeng Jin
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

ArticlesWord Similarity

Similar Papers 제목 키워드 기반

Feature-free regression kriging

2025-07-10 · Peng Luo, Yilong Wu, Yongze Song arxiv

Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models -- such as Ordinary Kriging (OK) -- assume spatial stationarity, which makes it difficult…

HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations

2021-11-01 · Findings (EMNLP) 2021 11 · Sabine Wehnert, Christian Scheel, Simona Szakács-Behling, Maret Nieländer 외

Natural language processing (NLP) is often the backbone of today’s systems for user interactions, information retrieval and others. Many of such NLP applications rely on specialized learned representations (e.g. neural w…

Information RetrievalLanguage ModellingRetrievalTopic Models+1

Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity

2020-10-13 · Maria Attarian, Brett D. Roads, Michael C. Mozer

Deep-learning vision models have shown intriguing similarities and differences with respect to human vision. We investigate how to bring machine visual representations into better alignment with human representations. Hu…

Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach

2024-03-28 · José Bobes-Bascarán, Eduardo Mosqueira-Rey, Ángel Fernández-Leal, Elena Hernández-Pereira 외

This paper presents a comprehensive study on the evaluation of explanatory capabilities of machine learning models, with a focus on Decision Trees, Random Forest and XGBoost models using a pancreatic cancer dataset. We u…

Dimensionality Reduction

Transforming neural network visual representations to predict human judgments of similarity

2020-10-09 · NeurIPS Workshop SVRHM 2020 12 · Ioanna Maria Attarian, Brett D Roads, Michael Curtis Mozer

Deep-learning vision models have shown intriguing similarities and differences with respect to human vision. We investigate how to bring machine visual representations into better alignment with human representations. H…