Copertina

Inter and Intra Prior Learning-based Hyperspectral Image Reconstruction Using Snapshot SWIR Metasurface

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Linqiang, Hao, Jinglei, Zhao, Yongqiang, Liu, Pan, Yan, Haofang, Zhang, Ziqin, Kong, Seong G.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment
di: Hu, Zhiwei, et al.
Pubblicazione: (2024)

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning
di: Wang, Zian, et al.
Pubblicazione: (2026)

I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking
di: Liu, Ziyan, et al.
Pubblicazione: (2025)

SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
di: Liu, Yinghui, et al.
Pubblicazione: (2025)

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
di: Zhang, Luankang, et al.
Pubblicazione: (2024)

RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads
di: Wei, Penghui, et al.
Pubblicazione: (2023)

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation
di: Liu, Hao, et al.
Pubblicazione: (2024)

Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
di: Heitz, Lucien, et al.
Pubblicazione: (2025)

Learning Image-Text Matching with Optimal Partial Transport
di: Pan, Zhengxin, et al.
Pubblicazione: (2026)

SimGR: Escaping the Pitfalls of Generative Decoding in LLM-based Recommendation
di: Zhao, Yuanbo, et al.
Pubblicazione: (2026)

Document Set Expansion with Positive-Unlabelled Learning Using Intractable Density Estimation
di: Zhang, Haiyang, et al.
Pubblicazione: (2024)

You Only Evaluate Once: A Tree-based Rerank Method at Meituan
di: Wang, Shuli, et al.
Pubblicazione: (2025)

CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
di: Zheng, Shangfei, et al.
Pubblicazione: (2024)

SpatCode: Rotary-based Unified Encoding Framework for Efficient Spatiotemporal Vector Retrieval
di: Hu, Bingde, et al.
Pubblicazione: (2026)

LLM-based Embedders for Prior Case Retrieval
di: Premasiri, Damith, et al.
Pubblicazione: (2025)

Category-Oriented Representation Learning for Image to Multi-Modal Retrieval
di: Cheng, Zida, et al.
Pubblicazione: (2023)

Emotion-based Recommender System
di: Wang, Hao
Pubblicazione: (2025)

Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
di: Su, Weihang, et al.
Pubblicazione: (2023)

Mobile Gamer Lifetime Value Prediction via Objective Decomposition and Reconstruction
di: Li, Tianwei, et al.
Pubblicazione: (2025)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
di: Han, Yongqiang, et al.
Pubblicazione: (2024)

Beyond Inter-Item Relations: Dynamic Adaption for Enhancing LLM-Based Sequential Recommendation
di: Liu, CanYi, et al.
Pubblicazione: (2024)

Zeroshot Listwise Learning to Rank Algorithm for Recommendation
di: Wang, Hao
Pubblicazione: (2024)

InterDeepResearch: Enabling Human-Agent Collaborative Information Seeking through Interactive Deep Research
di: Pan, Bo, et al.
Pubblicazione: (2026)

Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
di: Wang, Zhikai, et al.
Pubblicazione: (2025)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
di: Bao, Keqin, et al.
Pubblicazione: (2024)

Curr-RLCER:Curriculum Reinforcement Learning For Coherence Explainable Recommendation
di: Pan, Xiangchen, et al.
Pubblicazione: (2026)

Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
di: Li, Pan, et al.
Pubblicazione: (2024)

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
di: Lee, Gyuseok, et al.
Pubblicazione: (2025)

Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders
di: Schlatt, Ferdinand, et al.
Pubblicazione: (2024)

Behavior Modeling Space Reconstruction for E-Commerce Search
di: Wang, Yejing, et al.
Pubblicazione: (2025)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
di: Wang, Hao, et al.
Pubblicazione: (2024)

Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction
di: Xu, Han, et al.
Pubblicazione: (2024)

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
di: Yang, Mingdai, et al.
Pubblicazione: (2025)

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
di: Kim, WooJoo, et al.
Pubblicazione: (2026)

Jobs' AI Exposure Should Be Measured from Evidence, Not Model Priors
di: Mouchel, Luca, et al.
Pubblicazione: (2026)

Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior
di: Chen, Xiaocong, et al.
Pubblicazione: (2025)

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
di: Wang, Lin, et al.
Pubblicazione: (2026)

Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations
di: Wang, Minmao, et al.
Pubblicazione: (2025)

Uncertainty Quantification and Decomposition for LLM-based Recommendation
di: Kweon, Wonbin, et al.
Pubblicazione: (2025)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
di: Jiang, Pengcheng, et al.
Pubblicazione: (2025)