Research map / Architectures and efficiency / Pruning and efficient tuning
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
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
- Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks (ICLR 2022 · similarity 0.93)
- The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks (ICLR 2019 · similarity 0.93)
- Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient (NeurIPS 2020 · similarity 0.92)
- On the Sparsity of the Strong Lottery Ticket Hypothesis (NeurIPS 2024 · similarity 0.92)
- On the Existence of Universal Lottery Tickets (ICLR 2022 · similarity 0.92)
- Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks (NeurIPS 2021 · similarity 0.92)
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.