Summary of Learning Rate Optimization For Deep Neural Networks Using Lipschitz Bandits, by Padma Priyanka et al.
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Banditsby Padma Priyanka, Sheetal Kalyani, Avhishek…
Summary of Deep Fast Machine Learning Utils: a Python Library For Streamlined Machine Learning Prototyping, by Fabi Prezja
Deep Fast Machine Learning Utils: A Python Library for Streamlined Machine Learning Prototypingby Fabi PrezjaFirst…
Summary of Understanding Simplicity Bias Towards Compositional Mappings Via Learning Dynamics, by Yi Ren et al.
Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamicsby Yi Ren, Danica J. SutherlandFirst submitted…
Summary of Kan V.s. Mlp For Offline Reinforcement Learning, by Haihong Guo et al.
KAN v.s. MLP for Offline Reinforcement Learningby Haihong Guo, Fengxin Li, Jiao Li, Hongyan LiuFirst…
Summary of Robust Training Of Neural Networks at Arbitrary Precision and Sparsity, by Chengxi Ye et al.
Robust Training of Neural Networks at Arbitrary Precision and Sparsityby Chengxi Ye, Grace Chu, Yanfeng…
Summary of Recent Trends in Modelling the Continuous Time Series Using Deep Learning: a Survey, by Mansura Habiba et al.
Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Surveyby Mansura Habiba,…
Summary of Neural Message Passing Induced by Energy-constrained Diffusion, By Qitian Wu et al.
Neural Message Passing Induced by Energy-Constrained Diffusionby Qitian Wu, David Wipf, Junchi YanFirst submitted to…
Summary of Optimization and Generalization Guarantees For Weight Normalization, by Pedro Cisneros-velarde et al.
Optimization and Generalization Guarantees for Weight Normalizationby Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam BanerjeeFirst…
Summary of Inn-par: Invertible Neural Network For Ppg to Abp Reconstruction, by Soumitra Kundu and Gargi Panda and Saumik Bhattacharya and Aurobinda Routray and Rajlakshmi Guha
INN-PAR: Invertible Neural Network for PPG to ABP Reconstructionby Soumitra Kundu, Gargi Panda, Saumik Bhattacharya,…
Summary of Sub-graph Based Diffusion Model For Link Prediction, by Hang Li et al.
Sub-graph Based Diffusion Model for Link Predictionby Hang Li, Wei Jin, Geri Skenderi, Harry Shomer,…