conftrace_

sample selection

107 papers

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Co-occurring keywords

active learning (1301) label noise (498) noisy label (321) semi-supervised learning (2341) large language model (13587) noisy label learning (163) data augmentation (3052) knowledge distillation (3725) text classification (6793) image classification (1944)

Papers

Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement AAAI 2026
EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training AAAI 2026
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025
FedCS: Coreset Selection for Federated Learning CVPR 2025
In-Context Learning on a Budget: A Case Study in Token Classification NAACL 2025
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025
JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning EMNLP 2025
Scale Efficient Training for Large Datasets CVPR 2025
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation EMNLP 2025
Active Learning for Multidialectal Arabic POS Tagging EMNLP 2025
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning NAACL 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation AAAI 2025
Federated Learning with Sample-level Client Drift Mitigation AAAI 2025
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning ICCV 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector CVPR 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data AAAI 2025
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis ACL 2025
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision ICCV 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025
CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation ICCV 2025
GATEAU: Selecting Influential Samples for Long Context Alignment EMNLP 2025
Collaborative Refining for Learning from Inaccurate Labels NIPS 2024
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification NAACL 2024