Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regressionby Yingzhen Yang, Ping…
Confidence Calibration of Classifiers with Many Classesby Adrien LeCoz, Stéphane Herbin, Faouzi AdjedFirst submitted to…
PV-faultNet: Optimized CNN Architecture to detect defects resulting efficient PV productionby Eiffat E Zaman, Rahima…
Geometry of naturalistic object representations in recurrent neural network models of working memoryby Xiaoxuan Lei,…
A Directional Rockafellar-Uryasev Regressionby Alberto ArlettiFirst submitted to arxiv on: 4 Nov 2024CategoriesMain: Machine Learning…
Social Support Detection from Social Media Textsby Zahra Ahani, Moein Shahiki Tash, Fazlourrahman Balouchzahi, Luis…
Combining Induction and Transduction for Abstract Reasoningby Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu,…
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergenceby Wenjie Mei, Dongzhe Zheng, Shihua LiFirst…
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inferenceby Shashank Nag, Alan T. L.…
Mechanistic Interpretability of Reinforcement Learning Agentsby Tristan Trim, Triston GraystonFirst submitted to arxiv on: 30…