Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classificationby Kush…
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothnessby Xiaochuan Gong, Jie Hao, Mingrui…
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classificationby Guanyi…
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationby Yao Ni, Shan Zhang, Piotr KoniuszFirst…
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classificationby…
On Importance of Pruning and Distillation for Efficient Low Resource NLPby Aishwarya Mirashi, Purva Lingayat,…
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classificationby Yuxuan Hu, Chenwei…
Turbo your multi-modal classification with contrastive learningby Zhiyu Zhang, Da Liu, Shengqiang Liu, Anna Wang,…
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasetsby…
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloadsby Ioannis Panopoulos,…