Summary of Understanding the Effectiveness Of Lossy Compression in Machine Learning Training Sets, by Robert Underwood et al.
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Setsby Robert Underwood, Jon C.…
Summary of Detection Of Problem Gambling with Less Features Using Machine Learning Methods, by Yang Jiao et al.
Detection of Problem Gambling with Less Features Using Machine Learning Methodsby Yang Jiao, Gloria Wong-Padoongpatt,…
Summary of Knowledge-guided Machine Learning: Current Trends and Future Prospects, by Anuj Karpatne et al.
Knowledge-guided Machine Learning: Current Trends and Future Prospectsby Anuj Karpatne, Xiaowei Jia, Vipin KumarFirst submitted…
Summary of Near-optimal Differentially Private Low-rank Trace Regression with Guaranteed Private Initialization, by Mengyue Zha
Near-Optimal differentially private low-rank trace regression with guaranteed private initializationby Mengyue ZhaFirst submitted to arxiv…
Summary of A Unified Module For Accelerating Stable-diffusion: Lcm-lora, by Ayush Thakur and Rashmi Vashisth
A Unified Module for Accelerating STABLE-DIFFUSION: LCM-LORAby Ayush Thakur, Rashmi VashisthFirst submitted to arxiv on:…
Summary of Exploring the Impact Of Dataset Bias on Dataset Distillation, by Yao Lu et al.
Exploring the Impact of Dataset Bias on Dataset Distillationby Yao Lu, Jianyang Gu, Xuguang Chen,…
Summary of A Federated Parameter Aggregation Method For Node Classification Tasks with Different Graph Network Structures, by Hao Song et al.
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structuresby Hao…
Summary of Learning Directed Acyclic Graphs From Partial Orderings, by Ali Shojaie and Wenyu Chen
Learning Directed Acyclic Graphs from Partial Orderingsby Ali Shojaie, Wenyu ChenFirst submitted to arxiv on:…
Summary of Vcr-graphormer: a Mini-batch Graph Transformer Via Virtual Connections, by Dongqi Fu et al.
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connectionsby Dongqi Fu, Zhigang Hua, Yan Xie, Jin…
Summary of Node Classification Via Semantic-structural Attention-enhanced Graph Convolutional Networks, by Hongyin Zhu
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networksby Hongyin ZhuFirst submitted to arxiv on: 24…