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Neural Speed Reading via Skim-RNN

Neural Speed Reading via Skim-RNN

6 November 2017
Minjoon Seo
Sewon Min
Ali Farhadi
Hannaneh Hajishirzi
ArXivPDFHTML

Papers citing "Neural Speed Reading via Skim-RNN"

16 / 16 papers shown
Title
SOI: Scaling Down Computational Complexity by Estimating Partial States
  of the Model
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
Grzegorz Stefański
P. Daniluk
Artur Szumaczuk
Jakub Tkaczuk
31
0
0
04 Oct 2024
Balanced and Explainable Social Media Analysis for Public Health with
  Large Language Models
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
Yan Jiang
Ruihong Qiu
Yi Zhang
Peng Zhang
27
7
0
12 Sep 2023
Flow: Per-Instance Personalized Federated Learning Through Dynamic
  Routing
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
Kunjal Panchal
Sunav Choudhary
Nisarg Parikh
Lijun Zhang
Hui Guan
37
5
0
28 Nov 2022
Efficient Transformers with Dynamic Token Pooling
Efficient Transformers with Dynamic Token Pooling
Piotr Nawrot
J. Chorowski
Adrian Lañcucki
Edoardo Ponti
22
42
0
17 Nov 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLM
KELM
LRM
57
565
0
07 Oct 2022
Transkimmer: Transformer Learns to Layer-wise Skim
Transkimmer: Transformer Learns to Layer-wise Skim
Yue Guan
Zhengyi Li
Jingwen Leng
Zhouhan Lin
Minyi Guo
80
38
0
15 May 2022
Efficient Deep Visual and Inertial Odometry with Adaptive Visual
  Modality Selection
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
Mingyu Yang
Yu Chen
Hun-Seok Kim
46
27
0
12 May 2022
Block-Skim: Efficient Question Answering for Transformer
Block-Skim: Efficient Question Answering for Transformer
Yue Guan
Zhengyi Li
Jingwen Leng
Zhouhan Lin
Minyi Guo
Yuhao Zhu
27
30
0
16 Dec 2021
Part & Whole Extraction: Towards A Deep Understanding of Quantitative
  Facts for Percentages in Text
Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text
Lei Fang
Jian-Guang Lou
25
4
0
26 Oct 2021
The Right Tool for the Job: Matching Model and Instance Complexities
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz
Gabriel Stanovsky
Swabha Swayamdipta
Jesse Dodge
Noah A. Smith
41
168
0
16 Apr 2020
SparseIDS: Learning Packet Sampling with Reinforcement Learning
SparseIDS: Learning Packet Sampling with Reinforcement Learning
Maximilian Bachl
Fares Meghdouri
J. Fabini
Tanja Zseby
18
6
0
10 Feb 2020
Description Based Text Classification with Reinforcement Learning
Description Based Text Classification with Reinforcement Learning
Duo Chai
Wei Wu
Qinghong Han
Fei Wu
Jiwei Li
VLM
121
66
0
08 Feb 2020
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Ting-Hao 'Kenneth' Huang
Gehui Shen
Zhihong Deng
VLM
AI4TS
25
22
0
28 May 2019
Pyramidal Recurrent Unit for Language Modeling
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
Rik Koncel-Kedziorski
Mohammad Rastegari
Hannaneh Hajishirzi
21
10
0
27 Aug 2018
Learning to Search in Long Documents Using Document Structure
Learning to Search in Long Documents Using Document Structure
Mor Geva
Jonathan Berant
RALM
32
15
0
09 Jun 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
41
179
0
01 Mar 2018
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