conftrace_

noisy label

321 papers

Explore in graph

Co-occurring keywords

label noise (498) noisy label learning (163) deep neural network (1803) weakly supervised learning (1328) semi-supervised learning (2341) distant supervision (315) robust learning (120) text classification (6793) convolutional neural network (4226) loss function (462)

Papers

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances NAACL 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels AAAI 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NIPS 2024
CoLAL: Co-learning Active Learning for Text Classification AAAI 2024
Entity Alignment with Noisy Annotations from Large Language Models NIPS 2024
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples AAAI 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NIPS 2024
Collaborative Refining for Learning from Inaccurate Labels NIPS 2024
Fine-tuning Pre-trained Models for Robustness under Noisy Labels IJCAI 2024
Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024
Learning with Structural Labels for Learning with Noisy Labels CVPR 2024
Negative Pre-aware for Noisy Cross-Modal Matching AAAI 2024
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments AAAI 2024
Identifying Label Errors in Object Detection Datasets by Loss Inspection WACV 2024
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance ACL 2024
Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework EMNLP 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization NIPS 2024
Trustworthy Machine Learning under Imperfect Data IJCAI 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data CVPR 2024
TTM-RE: Memory-Augmented Document-Level Relation Extraction ACL 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
Information-theoretic Limits of Online Classification with Noisy Labels NIPS 2024