SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of…
Knowledge Transfer across Multiple Principal Component Analysis Studiesby Zeyu Li, Kangxiang Qin, Yong He, Wang…
An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problemby Runze Guo,…
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale…
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraintsby Jean V. Alves, Diogo Leitão,…
Probabilistic Contrastive Learning for Long-Tailed Visual Recognitionby Chaoqun Du, Yulin Wang, Shiji Song, Gao HuangFirst…
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learningby Zijun Long, Lipeng Zhuang, George Killick,…
Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social…
Unfamiliar Finetuning Examples Control How Language Models Hallucinateby Katie Kang, Eric Wallace, Claire Tomlin, Aviral…
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervisionby Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao…