conftrace_

label noise

498 papers

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Co-occurring keywords

noisy label (321) noisy label learning (163) deep neural network (1803) semi-supervised learning (2341) weakly supervised learning (1328) text classification (6793) image classification (1944) data augmentation (3052) representation learning (6206) active learning (1301)

Papers

Client-level Active Error Correction in Distributed Learning AAAI 2026

Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels AAAI 2026

Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models AAAI 2026

Denoising Mixup for Regression AAAI 2026

FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026

Variation-Bounded Loss for Noise-Tolerant Learning AAAI 2026

Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction AAAI 2026

Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies AAAI 2026

On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD AAAI 2026

Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels AAAI 2026

Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation MIDL 2026

Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights ACL 2026

Next Generation Active Learning: Mixture of LLMs in the Loop AAAI 2026

Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026

Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition EACL 2026

CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 2026

FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026

Distribution-Consistency-Guided Multi-modal Hashing AAAI 2025

Optimized Gradient Clipping for Noisy Label Learning AAAI 2025

Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels AACL 2025

Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels IJCAI 2025

Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations WACV 2025

RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025

Label Calibration in Source Free Domain Adaptation WACV 2025