:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Feng, Chen, Shen, Minghe, Balashankar, Ananth, Gerner-Beuerle, Carsten, Rodrigues, Miguel R. D.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2601.20913
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust LLM Performance Certification via Constrained Maximum Likelihood Estimation
by: Shen, Minghe, et al.
Published: (2026)

DPO Learning with LLMs-Judge Signal for Computer Use Agents
by: Luo, Man, et al.
Published: (2025)

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels
by: Moafi, Aida, et al.
Published: (2025)

The Role of Noisy Data in Improving CNN Robustness for Image Classification
by: Ramírez-Agudelo, Oscar H., et al.
Published: (2026)

Robust Influence-based Training Methods for Noisy Brain MRI
by: Van, Minh-Hao, et al.
Published: (2024)

FNBench: Benchmarking Robust Federated Learning against Noisy Labels
by: Jiang, Xuefeng, et al.
Published: (2025)

LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models
by: Jiang, Zhiyuan, et al.
Published: (2026)

Can Vision Language Models Judge Action Quality? An Empirical Evaluation
by: Freitas, Miguel Monte e, et al.
Published: (2026)

Systematic Evaluation of Vision Transformers for Automated Cervical Cancer Classification: Optimization, Statistical Validation, and Clinical Interpretability
by: Albzour, Nisreen, et al.
Published: (2026)

Passive Construction Site Safety Monitoring via Persona-Scaffolded Adversarial Chain-of-Thought VLM Verification
by: Sriram, Ananth, et al.
Published: (2026)

Robust Noisy Label Learning via Two-Stream Sample Distillation
by: Bai, Sihan, et al.
Published: (2024)

IRNet: Iterative Refinement Network for Noisy Partial Label Learning
by: Lian, Zheng, et al.
Published: (2022)

Robust Dynamic Facial Expression Recognition
by: Liu, Feng, et al.
Published: (2025)

Robust Federated Learning against Noisy Clients via Masked Optimization
by: Jiang, Xuefeng, et al.
Published: (2025)

Robust Multiple Description Neural Video Codec with Masked Transformer for Dynamic and Noisy Networks
by: Hu, Xinyue, et al.
Published: (2024)

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge
by: Lee, Sua, et al.
Published: (2026)

From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2025)

Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2024)

Learning from Limited and Imperfect Data
by: Rangwani, Harsh
Published: (2025)

Solar Panel Segmentation :Self-Supervised Learning Solutions for Imperfect Datasets
by: Sagaram, Sankarshanaa, et al.
Published: (2024)

Disentangled Noisy Correspondence Learning
by: Dang, Zhuohang, et al.
Published: (2024)

MetaLogic: Robustness Evaluation of Text-to-Image Models via Logically Equivalent Prompts
by: Shen, Yifan, et al.
Published: (2025)

Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework
by: de Boer, Sarah, et al.
Published: (2025)

User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance
by: Verghese, Mrinal, et al.
Published: (2024)

EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations
by: Liu, Jiayi, et al.
Published: (2025)

Spb3DTracker: A Robust LiDAR-Based Person Tracker for Noisy Environment
by: Im, Eunsoo, et al.
Published: (2024)

SoftPatch: Unsupervised Anomaly Detection with Noisy Data
by: Jiang, Xi, et al.
Published: (2024)

Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
by: Baik, Jae Soon, et al.
Published: (2024)

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)

PFM-VEPAR: Prompting Foundation Models for RGB-Event Camera based Pedestrian Attribute Recognition
by: Xu, Minghe, et al.
Published: (2026)

NoisyNN: Exploring the Impact of Information Entropy Change in Learning Systems
by: Yu, Xiaowei, et al.
Published: (2023)

SO-Bench: A Structural Output Evaluation of Multimodal LLMs
by: Feng, Di, et al.
Published: (2025)

UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
by: Gu, Tiancheng, et al.
Published: (2025)

Temporal Enhanced Floating Car Observers
by: Gerner, Jeremias, et al.
Published: (2024)

Robust Self-Training with Closed-loop Label Correction for Learning from Noisy Labels
by: Lin, Zhanhui, et al.
Published: (2026)

Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
by: Liu, Xinxin, et al.
Published: (2026)

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources
by: Ma, Baorui, et al.
Published: (2026)

Evaluating Robustness of Vision-Language Models Under Noisy Conditions
by: Purushoth, et al.
Published: (2025)

UniPAR: A Unified Framework for Pedestrian Attribute Recognition
by: Xu, Minghe, et al.
Published: (2026)

Noisy Label Processing for Classification: A Survey
by: Li, Mengting, et al.
Published: (2024)