April 23, 2019 preprint Open access Generating Long Sequences with Sparse Transformers arXiv (Cornell University) DOI: 10.48550/arxiv.1904.10509 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 2,665 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Perspective: Content-addressable memories as a computing primitive for today's AI and beyond 2026 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access 0 citations Efficiently Approximating Attention Is Hard 2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access 0 citations A survey of deep learning in image processing: developments, applications and challenges 2026 Artificial Intelligence Review article Computer Science Advanced Neural Network Applications Open access 0 citations A novel hybrid surrogate model for the stability and post-failure analysis of spatially variable slopes using a smoothed sequential limit analysis 2026 Journal of Rock Mechanics and Geotechnical Engineering article Engineering Geotechnical Engineering and Analysis Open access 1 citations Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers 2025 arXiv (Cornell University) preprint Computer Science Advanced Vision and Imaging Open access 29 citations 5 results References 0