November 19, 2016 preprint Open access Pruning Convolutional Neural Networks for Resource Efficient Inference arXiv (Cornell University) DOI: 10.48550/arxiv.1611.06440 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 1,320 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 Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching 2024 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Advanced Neural Network Applications Open access 1 citations Downlink Channel State Information Limited Feedback Using Fully Convolutional Network 2021 IEEE Wireless Communications and Networking Conference conference-paper Engineering Advanced MIMO Systems Optimization 2 citations LEAN: graph-based pruning for convolutional neural networks by extracting longest chains 2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access 0 citations 3 results References 0