Summary of Uncovering Capabilities Of Model Pruning in Graph Contrastive Learning, by Junran Wu et al.
Uncovering Capabilities of Model Pruning in Graph Contrastive Learningby Junran Wu, Xueyuan Chen, Shangzhe LiFirst…
Summary of Leveraging Auxiliary Task Relevance For Enhanced Bearing Fault Diagnosis Through Curriculum Meta-learning, by Jinze Wang et al.
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learningby Jinze Wang, Jiong…
Summary of Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss, by Kunal Dahiya et al.
Prototypical Extreme Multi-label Classification with a Dynamic Margin Lossby Kunal Dahiya, Diego Ortego, David JiménezFirst…
Summary of Hoeffding Adaptive Trees For Multi-label Classification on Data Streams, by Aurora Esteban et al.
Hoeffding adaptive trees for multi-label classification on data streamsby Aurora Esteban, Alberto Cano, Amelia Zafra,…
Summary of Revisiting Differential Verification: Equivalence Verification with Confidence, by Samuel Teuber et al.
Revisiting Differential Verification: Equivalence Verification with Confidenceby Samuel Teuber, Philipp Kern, Marvin Janzen, Bernhard BeckertFirst…
Summary of Deep Concept Identification For Generative Design, by Ryo Tsumoto et al.
Deep Concept Identification for Generative Designby Ryo Tsumoto, Kentaro Yaji, Yutaka Nomaguchi, Kikuo FujitaFirst submitted…
Summary of Statistical Inference in Classification Of High-dimensional Gaussian Mixture, by Hanwen Huang and Peng Zeng
Statistical Inference in Classification of High-dimensional Gaussian Mixtureby Hanwen Huang, Peng ZengFirst submitted to arxiv…
Summary of Residual Random Neural Networks, by M. Andrecut
Residual Random Neural Networksby M. AndrecutFirst submitted to arxiv on: 25 Oct 2024CategoriesMain: Machine Learning…
Summary of Simmering: Sufficient Is Better Than Optimal For Training Neural Networks, by Irina Babayan et al.
Simmering: Sufficient is better than optimal for training neural networksby Irina Babayan, Hazhir Aliahmadi, Greg…
Summary of Sparse Decomposition Of Graph Neural Networks, by Yaochen Hu et al.
Sparse Decomposition of Graph Neural Networksby Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng…