Summary of Multi-epoch Learning with Data Augmentation For Deep Click-through Rate Prediction, by Zhongxiang Fan et al.
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Predictionby Zhongxiang Fan, Zhaocheng Liu, Jian…
Summary of Self-adaptive Weights Based on Balanced Residual Decay Rate For Physics-informed Neural Networks and Deep Operator Networks, by Wenqian Chen et al.
Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator…
Summary of Enhancing Stability For Large Language Models Training in Constrained Bandwidth Networks, by Yun Dai et al.
Enhancing Stability for Large Language Models Training in Constrained Bandwidth Networksby Yun Dai, Tejas Dharamsi,…
Summary of Edge-direct: a Deep Reinforcement Learning-based Method For Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints, by Arash Mozhdehi et al.
Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time…
Summary of Deciphering Interventional Dynamical Causality From Non-intervention Systems, by Jifan Shi et al.
Deciphering interventional dynamical causality from non-intervention systemsby Jifan Shi, Yang Li, Juan Zhao, Siyang Leng,…
Summary of Tabsketchfm: Sketch-based Tabular Representation Learning For Data Discovery Over Data Lakes, by Aamod Khatiwada et al.
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakesby Aamod Khatiwada, Harsha Kokel,…
Summary of Addressing Prediction Delays in Time Series Forecasting: a Continuous Gru Approach with Derivative Regularization, by Sheo Yon Jhin et al.
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularizationby Sheo…
Summary of Guided Trajectory Generation with Diffusion Models For Offline Model-based Optimization, by Taeyoung Yun et al.
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimizationby Taeyoung Yun, Sujin Yun, Jaewoo…
Summary of Combinations Of Distributional Regression Algorithms with Application in Uncertainty Estimation Of Corrected Satellite Precipitation Products, by Georgia Papacharalampous et al.
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation productsby…
Summary of Commute Graph Neural Networks, by Wei Zhuo et al.
Commute Graph Neural Networksby Wei Zhuo, Guang TanFirst submitted to arxiv on: 30 Jun 2024CategoriesMain:…