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Early Exiting with Ensemble Internal Classifiers

Early Exiting with Ensemble Internal Classifiers

28 May 2021
Tianxiang Sun
Yunhua Zhou
Xiangyang Liu
Xinyu Zhang
Hao Jiang
Bo Zhao
Xuanjing Huang
Xipeng Qiu
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Papers citing "Early Exiting with Ensemble Internal Classifiers"

16 / 16 papers shown
Title
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
Divya J. Bajpai
M. Hanawal
85
0
0
02 Feb 2025
Exploring Dynamic Transformer for Efficient Object Tracking
Exploring Dynamic Transformer for Efficient Object Tracking
Jiawen Zhu
Xin Chen
Haiwen Diao
Shuai Li
Jun-Yan He
Chenyang Li
Bin Luo
Dong Wang
Huchuan Lu
65
2
0
26 Mar 2024
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks
  via Aggregated Early Exits
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits
Simone Sarti
Eugenio Lomurno
Matteo Matteucci
27
4
0
28 Jan 2023
Understanding the Robustness of Multi-Exit Models under Common
  Corruptions
Understanding the Robustness of Multi-Exit Models under Common Corruptions
Akshay Mehra
Skyler Seto
Navdeep Jaitly
B. Theobald
AAML
32
3
0
03 Dec 2022
Avoid Overthinking in Self-Supervised Models for Speech Recognition
Avoid Overthinking in Self-Supervised Models for Speech Recognition
Dan Berrebbi
Brian Yan
Shinji Watanabe
LRM
31
4
0
01 Nov 2022
A Simple Hash-Based Early Exiting Approach For Language Understanding
  and Generation
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
Tianxiang Sun
Xiangyang Liu
Wei-wei Zhu
Zhichao Geng
Lingling Wu
Yilong He
Yuan Ni
Guotong Xie
Xuanjing Huang
Xipeng Qiu
50
40
0
03 Mar 2022
A Survey on Model Compression and Acceleration for Pretrained Language
  Models
A Survey on Model Compression and Acceleration for Pretrained Language Models
Canwen Xu
Julian McAuley
33
58
0
15 Feb 2022
A Survey on Dynamic Neural Networks for Natural Language Processing
A Survey on Dynamic Neural Networks for Natural Language Processing
Canwen Xu
Julian McAuley
AI4CE
35
28
0
15 Feb 2022
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Xiangyang Liu
Tianxiang Sun
Junliang He
Jiawen Wu
Lingling Wu
Xinyu Zhang
Hao Jiang
Bo Zhao
Xuanjing Huang
Xipeng Qiu
ELM
28
46
0
13 Oct 2021
A Survey of Transformers
A Survey of Transformers
Tianyang Lin
Yuxin Wang
Xiangyang Liu
Xipeng Qiu
ViT
58
1,093
0
08 Jun 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via
  Calibrated Complete Models Cascade
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
Lei Li
Yankai Lin
Deli Chen
Shuhuai Ren
Peng Li
Jie Zhou
Xu Sun
34
51
0
29 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
248
1,456
0
18 Mar 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
234
198
0
07 Feb 2020
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
226
166
0
18 Oct 2019
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
236
508
0
12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
309
7,005
0
20 Apr 2018
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