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Quantization for Weakly Continuous Functions: Achieving Convergence and Near-Optimality

by instadatahelp | Aug 31, 2023 | AI Blogs

Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity Authors: Ali Kara, Naci Saldi, Serdar Yüksel; Volume 24, Issue 199, Pages 1-34, 2023. Abstract This paper explores the applicability of reinforcement...
Hyperbolic CNNs: A Deep Learning Approach with Applications (arXiv:2308.15639v1 [cs.LG])

Hyperbolic CNNs: A Deep Learning Approach with Applications (arXiv:2308.15639v1 [cs.LG])

by instadatahelp | Aug 31, 2023 | AI Blogs

Artificial Intelligence has experienced a surge in interest in the last decade, largely due to the advancements in Deep Learning. Deep learning researchers have achieved great success in image processing through the use of Convolutional Neural Networks (CNNs)....

The Influence of Classification Difficulty on Weight Matrices Spectra in Deep Learning: A Study on Early Stopping Implementation

by instadatahelp | Aug 31, 2023 | AI Blogs

Impact of Classification Difficulty on the Spectra of Weight Matrices in Deep Learning and its Application to Early Stopping Xuran Meng, Jeff Yao; 24(28):1−40, 2023. Abstract Recent research has focused on understanding the success of deep learning. Random Matrix...
Hyperbolic CNNs: A Deep Learning Approach with Applications (arXiv:2308.15639v1 [cs.LG])

Rank-Aware Contextual Reasoning on Whole Slide Images for Weakly Supervised Skin Cancer Grading

by instadatahelp | Aug 31, 2023 | AI Blogs

[Submitted on 29 Aug 2023] Authors:Anirudh Choudhary, Angelina Hwang, Jacob Kechter, Krishnakant Saboo, Blake Bordeaux, Puneet Bhullar, Nneka Comfere, David DiCaudo, Steven Nelson, Emma Johnson, Leah Swanson, Dennis Murphree, Aaron Mangold, Ravishankar K. Iyer...

Causal Discovery for Zero-Inflated Count Data Using Model-Based Approach

by instadatahelp | Aug 31, 2023 | AI Blogs

Model-based Causal Discovery for Zero-Inflated Count Data Junsouk Choi, Yang Ni; 24(200):1−32, 2023. Abstract Zero-inflated count data are common in various scientific fields, including social science, biology, and genomics. However, few causal discovery approaches...
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