Summary of Sequence Generation Modeling For Continuous Value Prediction, by Hongxu Ma et al.
Sequence Generation Modeling for Continuous Value Predictionby Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang,…
Sequence Generation Modeling for Continuous Value Predictionby Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang,…
LASER: A new method for locally adaptive nonparametric regressionby Sabyasachi Chatterjee, Subhajit Goswami, Soumendu Sundar…
Neural Networks Perform Sufficient Dimension Reductionby Shuntuo Xu, Zhou YuFirst submitted to arxiv on: 26…
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Componentsby Tengxue Zhang, Yang Shu,…
An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosisby Yingchen…
Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theoriesby Haobo Zhang,…
Heterogeneous transfer learning for high dimensional regression with feature mismatchby Jae Ho Chang, Massimiliano Russo,…
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihoodby Yuta ShikuriFirst submitted to arxiv…
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learningby Jaesun Shin, Eunjoo Jeon, Taewon…
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXtby Pengbin Feng, Yankaiqi Li,…