DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarksby…
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecastingby Qi Sima, Xinze Zhang,…
Explainable AI for Comparative Analysis of Intrusion Detection Modelsby Pap M. Corea, Yongxin Liu, Jian…
Meta-Learning Loss Functions for Deep Neural Networksby Christian RaymondFirst submitted to arxiv on: 14 Jun…
Enhancing Activity Recognition After Stroke: Generative Adversarial Networks for Kinematic Data Augmentationby Aaron J. Hadley,…
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scaleby A. Feder CooperFirst…
ElicitationGPT: Text Elicitation Mechanisms via Language Modelsby Yifan Wu, Jason HartlineFirst submitted to arxiv on:…
A More Practical Approach to Machine Unlearningby David ZagardoFirst submitted to arxiv on: 13 Jun…
Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detectionby Zi-Hang Cheng, Haopu Shang, Chao QianFirst…
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Biasby Honam Wong, Wendao…