Cover Image

Multi-label Learning with Random Circular Vectors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nishida, Ken, Machi, Kojiro, Onishi, Kazuma, Hayashi, Katsuhiko, Kamigaito, Hidetaka
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Simple but Effective Closed-form Solution for Extreme Multi-label Learning
by: Onishi, Kazuma, et al.
Published: (2025)

From Formal Language Theory to Statistical Learning: Finite Observability of Subregular Languages
by: Hayashi, Katsuhiko, et al.
Published: (2025)

Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
by: Feng, Xincan, et al.
Published: (2024)

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
by: Sakai, Yusuke, et al.
Published: (2023)

Model-based Subsampling for Knowledge Graph Completion
by: Feng, Xincan, et al.
Published: (2023)

Accurate and Diverse Recommendations via Propensity-Weighted Linear Autoencoders
by: Onishi, Kazuma, et al.
Published: (2025)

Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
by: Kamigaito, Hidetaka, et al.
Published: (2025)

Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences
by: Atuhurra, Jesse, et al.
Published: (2024)

Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters
by: Guo, Zhiyu, et al.
Published: (2024)

Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
by: Hashimoto, Wataru, et al.
Published: (2025)

Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
by: Guo, Zhiyu, et al.
Published: (2024)

Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
by: Hashimoto, Wataru, et al.
Published: (2024)

Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
by: Hashimoto, Wataru, et al.
Published: (2024)

mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans
by: Sakai, Yusuke, et al.
Published: (2024)

IRR: Image Review Ranking Framework for Evaluating Vision-Language Models
by: Hayashi, Kazuki, et al.
Published: (2024)

Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding
by: Kamigaito, Hidetaka, et al.
Published: (2024)

Identifying Influential N-grams in Confidence Calibration via Regression Analysis
by: Ozaki, Shintaro, et al.
Published: (2026)

Multilinguality of Large Language Models From a Structural Perspective
by: Sakajo, Haruki, et al.
Published: (2026)

Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models
by: Ozaki, Shintaro, et al.
Published: (2024)

Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
by: Sakai, Yusuke, et al.
Published: (2024)

Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding
by: Natsumi, Koki, et al.
Published: (2025)

Can Impressions of Music be Extracted from Thumbnail Images?
by: Harada, Takashi, et al.
Published: (2025)

Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
by: Sakai, Yusuke, et al.
Published: (2024)

Generating Diverse Translation with Perturbed kNN-MT
by: Nishida, Yuto, et al.
Published: (2024)

IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation
by: Hayashi, Kazuki, et al.
Published: (2025)

Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation
by: Lyu, Boxuan, et al.
Published: (2025)

Long-Tail Crisis in Nearest Neighbor Language Models
by: Nishida, Yuto, et al.
Published: (2025)

MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
by: Ye, Hui, et al.
Published: (2023)

TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation
by: Ozaki, Shintaro, et al.
Published: (2025)

DALLMi: Domain Adaption for LLM-based Multi-label Classifier
by: Beţianu, Miruna, et al.
Published: (2024)

MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion Detection
by: Banshal, Sumit Kumar, et al.
Published: (2023)

Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
by: Zhao, Shiman, et al.
Published: (2025)

Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning
by: Huang, Guangming, et al.
Published: (2024)

Towards Artwork Explanation in Large-scale Vision Language Models
by: Hayashi, Kazuki, et al.
Published: (2024)

Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies
by: Hayashi, Kazuki, et al.
Published: (2025)

Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?
by: Gobara, Seiji, et al.
Published: (2024)

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
by: Ozaki, Shintaro, et al.
Published: (2024)

BQA: Body Language Question Answering Dataset for Video Large Language Models
by: Ozaki, Shintaro, et al.
Published: (2024)

Multi-Frame Vision-Language Model for Long-form Reasoning in Driver Behavior Analysis
by: Takato, Hiroshi, et al.
Published: (2024)

Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
by: Sakai, Yusuke, et al.
Published: (2025)