Research map / Architectures and efficiency / Pruning and efficient tuning
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
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
- TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning (ICLR 2023 · similarity 0.89)
- Towards Optimal Structured CNN Pruning via Generative Adversarial Learning (CVPR 2019 · similarity 0.88)
- Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks (NeurIPS 2021 · similarity 0.88)
- Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction (CVPR 2022 · similarity 0.88)
- Training Your Sparse Neural Network Better with Any Mask (ICML 2022 · similarity 0.88)
- Masks, Signs, And Learning Rate Rewinding (ICLR 2024 · similarity 0.86)
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.
