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On the Effect of Dropping Layers of Pre-trained Transformer Models

On the Effect of Dropping Layers of Pre-trained Transformer Models

8 April 2020
Hassan Sajjad
Fahim Dalvi
Nadir Durrani
Preslav Nakov
ArXivPDFHTML

Papers citing "On the Effect of Dropping Layers of Pre-trained Transformer Models"

20 / 20 papers shown
Title
How Redundant Is the Transformer Stack in Speech Representation Models?
How Redundant Is the Transformer Stack in Speech Representation Models?
Teresa Dorszewski
Albert Kjøller Jacobsen
Lenka Tětková
Lars Kai Hansen
104
0
0
20 Jan 2025
Merging Feed-Forward Sublayers for Compressed Transformers
Merging Feed-Forward Sublayers for Compressed Transformers
Neha Verma
Kenton W. Murray
Kevin Duh
AI4CE
45
0
0
10 Jan 2025
Save It All: Enabling Full Parameter Tuning for Federated Large Language
  Models via Cycle Block Gradient Descent
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent
Lin Wang
Zhichao Wang
Xiaoying Tang
29
1
0
17 Jun 2024
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for
  Low-Memory GPUs
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for Low-Memory GPUs
Wei Zhong
Manasa Bharadwaj
31
5
0
30 May 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
41
79
0
26 Mar 2024
Where does In-context Translation Happen in Large Language Models
Where does In-context Translation Happen in Large Language Models
Suzanna Sia
David Mueller
Kevin Duh
LRM
33
0
0
07 Mar 2024
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Shuzhou Yuan
Ercong Nie
Bolei Ma
Michael Farber
32
3
0
18 Feb 2024
Graph Neural Networks for Antisocial Behavior Detection on Twitter
Graph Neural Networks for Antisocial Behavior Detection on Twitter
Martina Toshevska
S. Kalajdziski
Sonja Gievska
14
0
0
28 Dec 2023
Accurate Retraining-free Pruning for Pretrained Encoder-based Language
  Models
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
Seungcheol Park
Ho-Jin Choi
U. Kang
VLM
25
4
0
07 Aug 2023
Deep Model Compression Also Helps Models Capture Ambiguity
Deep Model Compression Also Helps Models Capture Ambiguity
Hancheol Park
Jong C. Park
17
1
0
12 Jun 2023
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder
  Models for More Efficient Code Classification
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
Anastasiia Grishina
Max Hort
Leon Moonen
22
6
0
08 May 2023
On the Transformation of Latent Space in Fine-Tuned NLP Models
On the Transformation of Latent Space in Fine-Tuned NLP Models
Nadir Durrani
Hassan Sajjad
Fahim Dalvi
Firoj Alam
27
17
0
23 Oct 2022
Hidden State Variability of Pretrained Language Models Can Guide
  Computation Reduction for Transfer Learning
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning
Shuo Xie
Jiahao Qiu
Ankita Pasad
Li Du
Qing Qu
Hongyuan Mei
28
16
0
18 Oct 2022
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
29
52
0
10 Aug 2021
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
222
382
0
05 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
221
196
0
07 Feb 2020
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
225
571
0
12 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
188
181
0
03 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
879
0
03 May 2018
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
294
6,927
0
20 Apr 2018
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