Summary of Semantic-guided Rl For Interpretable Feature Engineering, by Mohamed Bouadi et al.
Semantic-Guided RL for Interpretable Feature Engineeringby Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad OuziriFirst submitted…
Summary of Local Flow Matching Generative Models, by Chen Xu et al.
Local Flow Matching Generative Modelsby Chen Xu, Xiuyuan Cheng, Yao XieFirst submitted to arxiv on:…
Summary of Fair Decentralized Learning, by Sayan Biswas et al.
Fair Decentralized Learningby Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Thibaud Trinca, Martijn de VosFirst submitted…
Summary of The Benefit Of Being Bayesian in Online Conformal Prediction, by Zhiyu Zhang et al.
The Benefit of Being Bayesian in Online Conformal Predictionby Zhiyu Zhang, Zhou Lu, Heng YangFirst…
Summary of Deep Learning-based Prediction Of Suspension Dynamics Performance in Multi-axle Vehicles, by Kai Chun Lin and Bo-yi Lin
Deep Learning-Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehiclesby Kai Chun Lin, Bo-Yi LinFirst…
Summary of Data Optimisation Of Machine Learning Models For Smart Irrigation in Urban Parks, by Nasser Ghadiri et al.
Data Optimisation of Machine Learning Models for Smart Irrigation in Urban Parksby Nasser Ghadiri, Bahman…
Summary of Simplicity Bias and Optimization Threshold in Two-layer Relu Networks, by Etienne Boursier and Nicolas Flammarion
Simplicity bias and optimization threshold in two-layer ReLU networksby Etienne Boursier, Nicolas FlammarionFirst submitted to…
Summary of Metametrics: Calibrating Metrics For Generation Tasks Using Human Preferences, by Genta Indra Winata et al.
MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferencesby Genta Indra Winata, David Anugraha, Lucky…
Summary of Structural-entropy-based Sample Selection For Efficient and Effective Learning, by Tianchi Xie et al.
Structural-Entropy-Based Sample Selection for Efficient and Effective Learningby Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi…
Summary of Unsupervised Meta-learning Via Dynamic Head and Heterogeneous Task Construction For Few-shot Classification, by Yunchuan Guan et al.
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classificationby Yunchuan Guan, Yu…