Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Trainingby Ngoc-Hieu Nguyen, Tuan-Anh Nguyen,…
Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support Systemby Chollette…
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphsby Pengfei Ding, Yan Wang, Guanfeng…
Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretabilityby Jatin NainaniFirst submitted to…
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysisby Dexu Kong, Anping Zhang,…
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimizationby Min-Kook Suh, Seung-Woo SeoFirst submitted…
Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representationsby Paul Brimoh, Chollette…
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networksby Haihang…
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learningby Abdul Hannan Mustajab, Hao…
Nonlinear functional regression by functional deep neural network with kernel embeddingby Zhongjie Shi, Jun Fan,…