NeuroGenesysThe research we build on.
1,514 papers by other researchers that our work cites, from continual learning and verification to language models, agents and hardware. Each entry links to the paper on arXiv and to where we use it. 301 are cited on published pages of this site; the rest in the research notes behind our studies. Our own papers are in the archive.
- 2023-02arXiv 2302.01386Continual Learning with Scaled Gradient Projection
Gobinda Saha, Kaushik Roy · Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence (2023) · Machine learning
In neural networks, continual learning results in gradient interference among sequential tasks, leading to catastrophic forgetting of old tasks while learning new ones.
- 2019-08arXiv 1908.02240Biologically inspired sleep algorithm for artificial neural networks
Giri P Krishnan, Timothy Tadros, Ramyaa Ramyaa et al. · Neuroscience & neural computation
Sleep plays an important role in incremental learning and consolidation of memories in biological systems.
Built from every arXiv paper cited in our papers, posts, topic hubs, reports and research notes, with titles, authors, dates and abstracts from the arXiv API (updated 2026-11-12). Summaries are the opening sentences of each paper's own abstract, not our assessment; a citation means we used or checked the work, not that we endorse it. Fields follow each paper's primary arXiv category. Papers cited only outside arXiv (journals, proceedings) are not listed yet. Entries are generated from our citations, so a mistyped ID in a note would list the wrong paper; we remove those as we find them. Report a wrong entry.
