Cover Image

Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Tiansheng, Wang, Yifei, Zeng, Zequn, Peng, Zhong, Su, Yudi, Liu, Xinyang, Chen, Bo, Liu, Hongwei, Jegelka, Stefanie, You, Chenyu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
by: Guo, Lixuan, et al.
Published: (2026)

CSRv2: Unlocking Ultra-Sparse Embeddings
by: Guo, Lixuan, et al.
Published: (2026)

Matryoshka Representation Learning for Recommendation
by: Lai, Riwei, et al.
Published: (2024)

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
by: Wang, Yueqi, et al.
Published: (2024)

Scaling Attention via Feature Sparsity
by: Xie, Yan, et al.
Published: (2026)

Route Experts by Sequence, not by Token
by: Wen, Tiansheng, et al.
Published: (2025)

Efficient Temporal-aware Matryoshka Adaptation for Temporal Information Retrieval
by: Huynh, Tuan-Luc, et al.
Published: (2026)

2D Matryoshka Training for Information Retrieval
by: Wang, Shuai, et al.
Published: (2024)

Starbucks-v2: Improved Training for 2D Matryoshka Embeddings
by: Zhuang, Shengyao, et al.
Published: (2024)

Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification
by: Zeng, Zequn, et al.
Published: (2025)

FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
by: Yang, Wei, et al.
Published: (2026)

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
by: Shu, Wenzheng, et al.
Published: (2025)

Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes
by: Gou, Jinrui, et al.
Published: (2024)

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval
by: Peng, Peng, et al.
Published: (2026)

Meta Learning to Rank for Sparsely Supervised Queries
by: Wu, Xuyang, et al.
Published: (2024)

Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
by: Yang, Yuhao, et al.
Published: (2025)

Efficient Learning of Sparse Representations from Interactions
by: Vančura, Vojtěch, et al.
Published: (2026)

Unified Semantic and ID Representation Learning for Deep Recommenders
by: Lin, Guanyu, et al.
Published: (2025)

Beyond the Surface: A Solution-Aware Retrieval Model for Competition-level Code Generation
by: Zhang, Shiwen, et al.
Published: (2025)

LLM-Enhanced Reranking for Complementary Product Recommendation
by: Xu, Zekun, et al.
Published: (2025)

Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
by: Yuan, Jiahao, et al.
Published: (2026)

CASPER: Concept-integrated Sparse Representation for Scientific Retrieval
by: Do, Lam Thanh, et al.
Published: (2025)

Effective Inference-Free Retrieval for Learned Sparse Representations
by: Nardini, Franco Maria, et al.
Published: (2025)

Understanding Internal Representations of Recommendation Models with Sparse Autoencoders
by: Wang, Jiayin, et al.
Published: (2024)

HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval
by: Xie, Zequn, et al.
Published: (2026)

Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations
by: J, Prachi, et al.
Published: (2025)

ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval
by: Zheng, Yuanhang, et al.
Published: (2024)

Scaling Sparse and Dense Retrieval in Decoder-Only LLMs
by: Zeng, Hansi, et al.
Published: (2025)

Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
by: Liu, Enze, et al.
Published: (2025)

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations
by: Bruch, Sebastian, et al.
Published: (2024)

Improving Recommendation Fairness via Graph Structure and Representation Augmentation
by: Xu, Tongxin, et al.
Published: (2025)

GraphRAG-IRL: Personalized Recommendation with Graph-Grounded Inverse Reinforcement Learning and LLM Re-ranking
by: Liang, Siqi, et al.
Published: (2026)

On the Challenges and Opportunities of Learned Sparse Retrieval for Code
by: Lupart, Simon, et al.
Published: (2026)

DS4RS: Community-Driven and Explainable Dataset Search Engine for Recommender System Research
by: Shao, Xinyang, et al.
Published: (2025)

The Role of Vocabularies in Learning Sparse Representations for Ranking
by: Kim, Hiun, et al.
Published: (2025)

HICEScore: A Hierarchical Metric for Image Captioning Evaluation
by: Zeng, Zequn, et al.
Published: (2024)

ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
by: Jiang, Hao, et al.
Published: (2025)

FedUTR: Federated Recommendation with Augmented Universal Textual Representation for Sparse Interaction Scenarios
by: Fu, Kang, et al.
Published: (2026)

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search
by: Zhang, Haoyu, et al.
Published: (2024)

LLMs as Sparse Retrievers:A Framework for First-Stage Product Search
by: Song, Hongru, et al.
Published: (2025)