Summary of Calibration Of Deep Learning Classification Models in Fnirs, by Zhihao Cao et al.
Calibration of Deep Learning Classification Models in fNIRSby Zhihao Cao, Zizhou LuoFirst submitted to arxiv…
Calibration of Deep Learning Classification Models in fNIRSby Zhihao Cao, Zizhou LuoFirst submitted to arxiv…
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Databy Tongyi Liang, Han-Xiong LiFirst submitted to…
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competitionby Yufei…
Biomedical Entity Linking as Multiple Choice Question Answeringby Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng…
Divide-or-Conquer? Which Part Should You Distill Your LLM?by Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao…
Vygotsky Distance: Measure for Benchmark Task Similarityby Maxim K. Surkov, Ivan P. YamshchikovFirst submitted to…
Generalizing Reward Modeling for Out-of-Distribution Preference Learningby Chen JiaFirst submitted to arxiv on: 22 Feb…
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusionby Xueyi Liu, Li YiFirst submitted…
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpusby Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang,…
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusionby Zijun Long,…