Dual Debiasing for Noisy In-Context Learning for Text Generation.
CoRR, June, 2025
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.
Trans. Mach. Learn. Res., 2025
VACoDe: Visual Augmented Contrastive Decoding.
CoRR, 2024
Distributed In-Context Learning under Non-IID Among Clients.
CoRR, 2024
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models.
CoRR, 2024
Fine-tuning Pre-trained Models for Robustness under Noisy Labels.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Active Prompt Learning in Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning.
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CoRR, 2023
Mitigating Dataset Bias by Using Per-Sample Gradient.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Multi-armed Bandit with Additional Observations.
Proc. ACM Meas. Anal. Comput. Syst., 2018