Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
Fuente:
arXiv
Saved in:
| Main Authors: | Dahiya, Kunal, Ortego, Diego, Jiménez, David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
by: Ortego, Diego, et al.
Published: (2025)
by: Ortego, Diego, et al.
Published: (2025)
Learning label-label correlations in Extreme Multi-label Classification via Label Features
by: Kharbanda, Siddhant, et al.
Published: (2024)
by: Kharbanda, Siddhant, et al.
Published: (2024)
Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems
by: Ozsoy, Makbule Gulcin
Published: (2024)
by: Ozsoy, Makbule Gulcin
Published: (2024)
Graph Regularized Encoder Training for Extreme Classification
by: Mittal, Anshul, et al.
Published: (2024)
by: Mittal, Anshul, et al.
Published: (2024)
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
by: Prakash, Jatin, et al.
Published: (2024)
by: Prakash, Jatin, et al.
Published: (2024)
A Simple but Effective Closed-form Solution for Extreme Multi-label Learning
by: Onishi, Kazuma, et al.
Published: (2025)
by: Onishi, Kazuma, et al.
Published: (2025)
Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation
by: Mishra, Ashirbad, et al.
Published: (2024)
by: Mishra, Ashirbad, et al.
Published: (2024)
Fine-grained auxiliary learning for real-world product recommendation
by: Almagro, Mario, et al.
Published: (2025)
by: Almagro, Mario, et al.
Published: (2025)
High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace
by: Davis, Dillon, et al.
Published: (2026)
by: Davis, Dillon, et al.
Published: (2026)
Ranking-based Fusion Algorithms for Extreme Multi-label Text Classification (XMTC)
by: França, Celso, et al.
Published: (2025)
by: França, Celso, et al.
Published: (2025)
Extracting Document Relations from Search Corpus by Marginalizing over User Queries
by: Iwamoto, Yuki, et al.
Published: (2025)
by: Iwamoto, Yuki, et al.
Published: (2025)
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
by: Pan, Lei, et al.
Published: (2023)
by: Pan, Lei, et al.
Published: (2023)
ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers
by: Mehta, Sonu, et al.
Published: (2024)
by: Mehta, Sonu, et al.
Published: (2024)
DV365: Extremely Long User History Modeling at Instagram
by: Lyu, Wenhan, et al.
Published: (2025)
by: Lyu, Wenhan, et al.
Published: (2025)
Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
by: Yusupov, Viacheslav, et al.
Published: (2025)
by: Yusupov, Viacheslav, et al.
Published: (2025)
DNMDR: Dynamic Networks and Multi-view Drug Representations for Safe Medication Recommendation
by: Liu, Guanlin, et al.
Published: (2025)
by: Liu, Guanlin, et al.
Published: (2025)
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
by: Chung, Hyunsoo, et al.
Published: (2024)
by: Chung, Hyunsoo, et al.
Published: (2024)
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
by: Mezentsev, Gleb, et al.
Published: (2024)
by: Mezentsev, Gleb, et al.
Published: (2024)
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
by: Gusak, Danil, et al.
Published: (2024)
by: Gusak, Danil, et al.
Published: (2024)
Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation
by: Yin, Minglei, et al.
Published: (2026)
by: Yin, Minglei, et al.
Published: (2026)
LSH-DynED: A Dynamic Ensemble Framework with LSH-Based Undersampling for Evolving Multi-Class Imbalanced Classification
by: Abadifard, Soheil, et al.
Published: (2025)
by: Abadifard, Soheil, et al.
Published: (2025)
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
Hierarchical Query Classification in E-commerce Search
by: He, Bing, et al.
Published: (2024)
by: He, Bing, et al.
Published: (2024)
Error Bounds of Supervised Classification from Information-Theoretic Perspective
by: Qi, Binchuan
Published: (2024)
by: Qi, Binchuan
Published: (2024)
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
by: Ouyang, Wentao, et al.
Published: (2024)
by: Ouyang, Wentao, et al.
Published: (2024)
Enhancing Recommendation Diversity by Re-ranking with Large Language Models
by: Carraro, Diego, et al.
Published: (2024)
by: Carraro, Diego, et al.
Published: (2024)
AMES: Approximate Multi-modal Enterprise Search via Late Interaction Retrieval
by: Joseph, Tony, et al.
Published: (2026)
by: Joseph, Tony, et al.
Published: (2026)
FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement
by: Hao, Bingguang, et al.
Published: (2025)
by: Hao, Bingguang, et al.
Published: (2025)
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
by: Yan, Enshuo, et al.
Published: (2024)
by: Yan, Enshuo, et al.
Published: (2024)
Enhancing Personalized Recipe Recommendation Through Multi-Class Classification
by: Neelam, Harish, et al.
Published: (2024)
by: Neelam, Harish, et al.
Published: (2024)
Abex-rat: Synergizing Abstractive Augmentation and Adversarial Training for Classification of Occupational Accident Reports
by: Chen, Jian, et al.
Published: (2025)
by: Chen, Jian, et al.
Published: (2025)
A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents
by: Prasad, Nishchal, et al.
Published: (2023)
by: Prasad, Nishchal, et al.
Published: (2023)
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification
by: Audibert, Alexandre, et al.
Published: (2024)
by: Audibert, Alexandre, et al.
Published: (2024)
Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
by: Parameswaran, Sethupathy, et al.
Published: (2026)
by: Parameswaran, Sethupathy, et al.
Published: (2026)
Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Coding
by: Boukhers, Zeyd, et al.
Published: (2024)
by: Boukhers, Zeyd, et al.
Published: (2024)
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
by: Liang, Shunpan, et al.
Published: (2024)
by: Liang, Shunpan, et al.
Published: (2024)
EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records
by: Shurrab, Saeed, et al.
Published: (2026)
by: Shurrab, Saeed, et al.
Published: (2026)
HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou
by: Wang, Xu, et al.
Published: (2024)
by: Wang, Xu, et al.
Published: (2024)
Towards Dynamic Dense Retrieval with Routing Strategy
by: Su, Zhan, et al.
Published: (2026)
by: Su, Zhan, et al.
Published: (2026)
On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration
by: Refael, Yehonathan, et al.
Published: (2025)
by: Refael, Yehonathan, et al.
Published: (2025)
Similar Items
-
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
by: Ortego, Diego, et al.
Published: (2025) -
Learning label-label correlations in Extreme Multi-label Classification via Label Features
by: Kharbanda, Siddhant, et al.
Published: (2024) -
Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems
by: Ozsoy, Makbule Gulcin
Published: (2024) -
Graph Regularized Encoder Training for Extreme Classification
by: Mittal, Anshul, et al.
Published: (2024) -
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
by: Prakash, Jatin, et al.
Published: (2024)