Research map / Architectures and efficiency / RNNs and normalization
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
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
- Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks (CVPR 2017 · similarity 0.86)
- Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation (ICML 2024 · similarity 0.84)
- Learning with Auxiliary Activation for Memory-Efficient Training (ICLR 2023 · similarity 0.84)
- Learning Longer-term Dependencies in RNNs with Auxiliary Losses (ICML 2018 · similarity 0.84)
- Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization (ICLR 2024 · similarity 0.84)
- Active Learning Guided by Efficient Surrogate Learners (AAAI 2024 · similarity 0.83)
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.