by instadatahelp | Aug 30, 2023 | AI Blogs
Temporal Abstraction in Reinforcement Learning with the Successor Representation Authors: Marlos C. Machado, Andre Barreto, Doina Precup, Michael Bowling; Volume 24, Issue 80, Pages 1-69, 2023. Abstract Intelligence often involves reasoning at multiple levels of...
![Addressing Imbalanced Classification for Diverse Minorities (arXiv:2308.14838v1 [cs.LG])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Aug 30, 2023 | AI Blogs
In various real-world applications, imbalanced datasets pose significant challenges when training classifiers. This issue becomes even more difficult when working with large datasets. To address this problem, over-sampling techniques have been developed to interpolate...
by instadatahelp | Aug 30, 2023 | AI Blogs
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz; 24(213):1−45, 2023. Abstract Counting and sampling directed acyclic graphs from a Markov equivalence class are essential...
by instadatahelp | Aug 30, 2023 | AI Blogs
Continual learning (CL) is the ability of an intelligent system to acquire and retain knowledge from a stream of data with minimal computational overhead. Various approaches, such as regularization, replay, architecture, and parameter isolation, have been introduced...
by instadatahelp | Aug 30, 2023 | AI Blogs
Online Optimization over Riemannian Manifolds Authors: Xi Wang, Zhipeng Tu, Yiguang Hong, Yingyi Wu, Guodong Shi; Volume 24, Issue 84, Pages 1-67, 2023. Abstract In recent years, there has been a significant increase in research on online optimization. This paper...
by instadatahelp | Aug 30, 2023 | AI Blogs
Investigating the Role of Pre-training in Lifelong Learning: An Empirical Study Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell; 24(214):1−50, 2023. Abstract The lifelong learning paradigm in machine learning is an appealing alternative to isolated...
