:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Haobin, Lin, Yijie, Hu, Peng, Yang, Mouxing, Peng, Xi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.18240
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Robust and Harmonious Adaptation for Cross-modal Retrieval
by: Li, Haobin, et al.
Published: (2025)

Test-time Adaptation for Cross-modal Retrieval with Query Shift
by: Li, Haobin, et al.
Published: (2024)

Reliable Thinking with Images
by: Li, Haobin, et al.
Published: (2026)

ARK: A Dual-Axis Multimodal Retrieval Benchmark along Reasoning and Knowledge
by: Lin, Yijie, et al.
Published: (2026)

Cross-modal Active Complementary Learning with Self-refining Correspondence
by: Qin, Yang, et al.
Published: (2023)

A Survey on Deep Clustering: From the Prior Perspective
by: Lu, Yiding, et al.
Published: (2024)

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
by: Lu, Yiding, et al.
Published: (2023)

LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
by: Lu, Yiding, et al.
Published: (2025)

Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment
by: Zheng, Yi, et al.
Published: (2024)

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
by: Tian, Yuxin, et al.
Published: (2024)

Multi-granularity Correspondence Learning from Long-term Noisy Videos
by: Lin, Yijie, et al.
Published: (2024)

RANA: Robust Active Learning for Noisy Network Alignment
by: Nan, Yixuan, et al.
Published: (2025)

A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation
by: Li, Zehao, et al.
Published: (2025)

Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning
by: Zhang, Haobin, et al.
Published: (2024)

Beyond likelihood ratio bias: Nested multi-time-scale stochastic approximation for likelihood-free parameter estimation
by: Li, Zehao, et al.
Published: (2024)

Data-Driven Extended Corresponding State Approach for Residual Property Prediction of Hydrofluoroolefins
by: Wang, Gang, et al.
Published: (2025)

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
by: Liang, Chen, et al.
Published: (2023)

Optimal low-rank stochastic gradient estimation for LLM training
by: Li, Zehao, et al.
Published: (2026)

Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering
by: Xu, Jinfeng, et al.
Published: (2025)

Preserving AUC Fairness in Learning with Noisy Protected Groups
by: Wu, Mingyang, et al.
Published: (2025)

Noisy-Correspondence Learning for Text-to-Image Person Re-identification
by: Qin, Yang, et al.
Published: (2023)

Multi-level Cross-modal Alignment for Image Clustering
by: Qiu, Liping, et al.
Published: (2024)

Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification
by: Qin, Yang, et al.
Published: (2025)

Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)

Sample-Efficient "Clustering and Conquer" Procedures for Parallel Large-Scale Ranking and Selection
by: Zhang, Zishi, et al.
Published: (2024)

Breaking the Reasoning Horizon in Entity Alignment Foundation Models
by: Cui, Yuanning, et al.
Published: (2026)

Machine Learning-Assisted High-Dimensional Matrix Estimation
by: Tian, Wan, et al.
Published: (2026)

Making medical vision-language models think causally across modalities with retrieval-augmented cross-modal reasoning
by: Yang, Weiqin, et al.
Published: (2026)

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval
by: Yang, Ruohong, et al.
Published: (2025)

MOFI: Learning Image Representations from Noisy Entity Annotated Images
by: Wu, Wentao, et al.
Published: (2023)

Learning from True-False Labels via Multi-modal Prompt Retrieving
by: Li, Zhongnian, et al.
Published: (2024)

Stochastic Approximation Methods for Distortion Risk Measure Optimization
by: Jiang, Jinyang, et al.
Published: (2025)

LLM-Inspired Pretrain-Then-Finetune for Small-Data, Large-Scale Optimization
by: Zhang, Zishi, et al.
Published: (2026)

Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
by: Peng, Ningkang, et al.
Published: (2026)

Nonparametric Bayesian Optimization for General Rewards
by: Zhang, Zishi, et al.
Published: (2026)

Beyond Loss Values: Robust Dynamic Pruning via Loss Trajectory Alignment
by: Qin, Huaiyuan, et al.
Published: (2026)

Forward Learning with Differential Privacy
by: Feng, Mingqian, et al.
Published: (2025)

Image Clustering with External Guidance
by: Li, Yunfan, et al.
Published: (2023)

Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments
by: Liu, Ke, et al.
Published: (2024)

Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment
by: Peng, Hongyi, et al.
Published: (2026)