Summary of Kinematic Analysis Of Structural Mechanics Based on Convolutional Neural Network, by Leye Zhang et al.
Kinematic analysis of structural mechanics based on convolutional neural networkby Leye Zhang, Xiangxiang Tian, Hongjun…
Summary of Contrastive Dual-interaction Graph Neural Network For Molecular Property Prediction, by Zexing Zhao et al.
Contrastive Dual-Interaction Graph Neural Network for Molecular Property Predictionby Zexing Zhao, Guangsi Shi, Xiaopeng Wu,…
Summary of From Generalization Analysis to Optimization Designs For State Space Models, by Fusheng Liu et al.
From Generalization Analysis to Optimization Designs for State Space Modelsby Fusheng Liu, Qianxiao LiFirst submitted…
Summary of Structural Pruning Of Pre-trained Language Models Via Neural Architecture Search, by Aaron Klein et al.
Structural Pruning of Pre-trained Language Models via Neural Architecture Searchby Aaron Klein, Jacek Golebiowski, Xingchen…
Summary of What Makes Models Compositional? a Theoretical View: with Supplement, by Parikshit Ram and Tim Klinger and Alexander G. Gray
What makes Models Compositional? A Theoretical View: With Supplementby Parikshit Ram, Tim Klinger, Alexander G.…
Summary of Instance-conditioned Adaptation For Large-scale Generalization Of Neural Combinatorial Optimization, by Changliang Zhou et al.
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimizationby Changliang Zhou, Xi Lin, Zhenkun Wang,…
Summary of Position: Understanding Llms Requires More Than Statistical Generalization, by Patrik Reizinger et al.
Position: Understanding LLMs Requires More Than Statistical Generalizationby Patrik Reizinger, Szilvia Ujváry, Anna Mészáros, Anna…
Summary of Quantifying Distribution Shifts and Uncertainties For Enhanced Model Robustness in Machine Learning Applications, by Vegard Flovik
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applicationsby Vegard FlovikFirst…
Summary of Reinforcement Learning-guided Semi-supervised Learning, by Marzi Heidari et al.
Reinforcement Learning-Guided Semi-Supervised Learningby Marzi Heidari, Hanping Zhang, Yuhong GuoFirst submitted to arxiv on: 2…
Summary of Invariant Risk Minimization Is a Total Variation Model, by Zhao-rong Lai and Weiwen Wang
Invariant Risk Minimization Is A Total Variation Modelby Zhao-Rong Lai, Weiwen WangFirst submitted to arxiv…