Summary of Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks, by Fanghui Liu et al.
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networksby Fanghui Liu, Leello Dadi, Volkan CevherFirst submitted…
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networksby Fanghui Liu, Leello Dadi, Volkan CevherFirst submitted…
A Universal Metric of Dataset Similarity for Cross-silo Federated Learningby Ahmed Elhussein, Gamze GursoyFirst submitted…
Optimal time sampling in physics-informed neural networksby Gabriel TuriniciFirst submitted to arxiv on: 29 Apr…
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Gardenby Vishal…
Learning Mixtures of Gaussians Using Diffusion Modelsby Khashayar Gatmiry, Jonathan Kelner, Holden LeeFirst submitted to…
Benchmarking Benchmark Leakage in Large Language Modelsby Ruijie Xu, Zengzhi Wang, Run-Ze Fan, Pengfei LiuFirst…
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decompositionby Yuxuan Yan, Qianqian Yang,…
Harmonic Machine Learning Models are Robustby Nicholas S. Kersting, Yi Li, Aman Mohanty, Oyindamola Obisesan,…
A Survey on Diffusion Models for Time Series and Spatio-Temporal Databy Yiyuan Yang, Ming Jin,…
IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relationby Kebin Wu, Wenbin Li, Xiaofei XiaoFirst submitted…