atlas

Research map / Architectures and efficiency / RNNs and normalization

Neural Speed Reading with Structural-Jump-LSTM

ICLR 2019 · Architectures and efficiency › RNNs and normalization · approach: Efficient recurrent architectures · 15 citations (OpenAlex)

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.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · IMDBaccuracy: 0.000No clear effect
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · DBPediaaccuracy: 0.013Helped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · Yelpaccuracy: 0.003Helped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · AG newsaccuracy: 0.003Helped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · SSTaccuracy: 0.004Helped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · Rotten Tomatoesaccuracy: 0.003Helped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · CBT-CNaccuracy: 0.007Helped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · CBT-NEaccuracy: 0.010Helped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · IMDBFLOP reduction: 6.3xHelped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · DBPediaFLOP reduction: 7.0xHelped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · YelpFLOP reduction: 1.9xHelped
Use skip actions and punctuation-structured jumps instead of full sequential readingLSTM · AG newsFLOP reduction: 2.4xHelped

Closest papers by meaning

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.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy