Research map / Architectures and efficiency / CNN design
Learning with convolution and pooling operations in kernel methods
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Approximation and Learning with Deep Convolutional Models: a Kernel Perspective (ICLR 2022 · similarity 0.91)
- Kernel Pooling for Convolutional Neural Networks (CVPR 2017 · similarity 0.91)
- S3Pool: Pooling With Stochastic Spatial Sampling (CVPR 2017 · similarity 0.88)
- Training CNNs With Normalized Kernels (AAAI 2018 · similarity 0.88)
- What Can Be Learnt With Wide Convolutional Neural Networks? (ICML 2023 · similarity 0.88)
- Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines (NeurIPS 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.