Hierarchical thematic classification of major conference proceedings
Fuente:
arXiv
Saved in:
| Main Authors: | Kuzmin, Arsentii, Aduenko, Alexander, Strijov, Vadim |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hierarchical Query Classification in E-commerce Search
by: He, Bing, et al.
Published: (2024)
by: He, Bing, et al.
Published: (2024)
Hierarchical Uncertainty-Aware Graph Neural Network
by: Choi, Yoonhyuk, et al.
Published: (2025)
by: Choi, Yoonhyuk, et al.
Published: (2025)
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
by: Elsayed, Shereen, et al.
Published: (2024)
by: Elsayed, Shereen, et al.
Published: (2024)
Hierarchical Group-wise Ranking Framework for Recommendation Models
by: Yan, YaChen, et al.
Published: (2025)
by: Yan, YaChen, et al.
Published: (2025)
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
by: Yuan, Xu, et al.
Published: (2022)
by: Yuan, Xu, et al.
Published: (2022)
Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
by: Dong, Yue, et al.
Published: (2025)
by: Dong, Yue, et al.
Published: (2025)
Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing
by: Martinico, Silvio, et al.
Published: (2026)
by: Martinico, Silvio, et al.
Published: (2026)
LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
by: Gupta, Nilesh, et al.
Published: (2025)
by: Gupta, Nilesh, et al.
Published: (2025)
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
by: Kumar, Ramnath, et al.
Published: (2023)
by: Kumar, Ramnath, et al.
Published: (2023)
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
by: Oh, Sejoon, et al.
Published: (2024)
by: Oh, Sejoon, et al.
Published: (2024)
Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
by: Jiang, Pengcheng, et al.
Published: (2026)
by: Jiang, Pengcheng, et al.
Published: (2026)
Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
by: Saed, Sajjad, et al.
Published: (2025)
by: Saed, Sajjad, 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)
Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
by: Gao, Anjun, et al.
Published: (2026)
by: Gao, Anjun, et al.
Published: (2026)
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors
by: Trukhina, Natalia, et al.
Published: (2026)
by: Trukhina, Natalia, et al.
Published: (2026)
scGHSOM: Hierarchical clustering and visualization of single-cell and CRISPR data using growing hierarchical SOM
by: Wen, Shang-Jung, et al.
Published: (2024)
by: Wen, Shang-Jung, et al.
Published: (2024)
Confounding is a Pervasive Problem in Real World Recommender Systems
by: Merkov, Alexander, et al.
Published: (2025)
by: Merkov, Alexander, et al.
Published: (2025)
Blurb-Refined Inference from Crowdsourced Book Reviews using Hierarchical Genre Mining with Dual-Path Graph Convolutions
by: Kumar, Suraj, et al.
Published: (2025)
by: Kumar, Suraj, et al.
Published: (2025)
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
by: Samra, Abdulaziz, et al.
Published: (2024)
by: Samra, Abdulaziz, et al.
Published: (2024)
Robust Generalizable Heterogeneous Legal Link Prediction
by: Wendlinger, Lorenz, et al.
Published: (2026)
by: Wendlinger, Lorenz, et al.
Published: (2026)
User Embedding Model for Personalized Language Prompting
by: Doddapaneni, Sumanth, et al.
Published: (2024)
by: Doddapaneni, Sumanth, et al.
Published: (2024)
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)
by: Ji, Luo, et al.
Published: (2024)
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
by: You, Chong, et al.
Published: (2025)
by: You, Chong, et al.
Published: (2025)
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
by: Lian, Xin, et al.
Published: (2024)
by: Lian, Xin, et al.
Published: (2024)
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
by: Zhao, Ziwen, et al.
Published: (2026)
by: Zhao, Ziwen, et al.
Published: (2026)
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
by: Du, Jing, et al.
Published: (2024)
by: Du, Jing, et al.
Published: (2024)
Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search
by: Kirchoff, Kathryn E., et al.
Published: (2024)
by: Kirchoff, Kathryn E., et al.
Published: (2024)
FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
by: Sun, Chaojie, et al.
Published: (2026)
by: Sun, Chaojie, et al.
Published: (2026)
RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
by: Zou, Jiaru, et al.
Published: (2025)
by: Zou, Jiaru, et al.
Published: (2025)
Calibrated Recommendations with Contextual Bandits
by: Feijer, Diego, et al.
Published: (2025)
by: Feijer, Diego, et al.
Published: (2025)
Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training
by: Sorokin, Artyom, et al.
Published: (2025)
by: Sorokin, Artyom, et al.
Published: (2025)
Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
by: Gross, Lotte, et al.
Published: (2025)
by: Gross, Lotte, et al.
Published: (2025)
BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles
by: Liu, Junhua, et al.
Published: (2025)
by: Liu, Junhua, et al.
Published: (2025)
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
by: Koo, Heejoon
Published: (2024)
by: Koo, Heejoon
Published: (2024)
Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports
by: Tölle, Malte, et al.
Published: (2024)
by: Tölle, Malte, et al.
Published: (2024)
Introducing Three New Benchmark Datasets for Hierarchical Text Classification
by: Toit, Jaco du, et al.
Published: (2024)
by: Toit, Jaco du, et al.
Published: (2024)
Lightweight Correlation-Aware Table Compression
by: Stoian, Mihail, et al.
Published: (2024)
by: Stoian, Mihail, et al.
Published: (2024)
Hybrid Losses for Hierarchical Embedding Learning
by: Tian, Haokun, et al.
Published: (2025)
by: Tian, Haokun, et al.
Published: (2025)
Noise-Aware Named Entity Recognition for Historical VET Documents
by: Esser, Alexander M., et al.
Published: (2026)
by: Esser, Alexander M., et al.
Published: (2026)
Similar Items
-
Hierarchical Query Classification in E-commerce Search
by: He, Bing, et al.
Published: (2024) -
Hierarchical Uncertainty-Aware Graph Neural Network
by: Choi, Yoonhyuk, et al.
Published: (2025) -
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
by: Elsayed, Shereen, et al.
Published: (2024) -
Hierarchical Group-wise Ranking Framework for Recommendation Models
by: Yan, YaChen, et al.
Published: (2025) -
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
by: Yuan, Xu, et al.
Published: (2022)