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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"

27 / 27 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
107
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
50
0
0
10 Jan 2025
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
Feijie Wu
Zitao Li
Yaliang Li
Bolin Ding
Jing Gao
34
41
0
25 Jun 2024
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
45
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
47
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
46
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
41
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
42
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
19
0
0
28 Dec 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine
  Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation
  Models with Mobile Edge Computing
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing
Terence Jie Chua
Wen-li Yu
Junfeng Zhao
Kwok-Yan Lam
FedML
26
5
0
26 Oct 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
37
5
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
27
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
Gradient-Free Structured Pruning with Unlabeled Data
Gradient-Free Structured Pruning with Unlabeled Data
Azade Nova
H. Dai
Dale Schuurmans
SyDa
32
20
0
07 Mar 2023
Tracing and Manipulating Intermediate Values in Neural Math Problem
  Solvers
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers
Yuta Matsumoto
Benjamin Heinzerling
Masashi Yoshikawa
Kentaro Inui
AIFin
17
5
0
17 Jan 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
32
18
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
35
16
0
18 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
37
53
0
10 Aug 2021
Learned Token Pruning for Transformers
Learned Token Pruning for Transformers
Sehoon Kim
Sheng Shen
D. Thorsley
A. Gholami
Woosuk Kwon
Joseph Hassoun
Kurt Keutzer
9
145
0
02 Jul 2021
What do End-to-End Speech Models Learn about Speaker, Language and
  Channel Information? A Layer-wise and Neuron-level Analysis
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis
Shammur A. Chowdhury
Nadir Durrani
Ahmed M. Ali
36
12
0
01 Jul 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
224
383
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
197
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
233
576
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
198
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
201
882
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
297
6,959
0
20 Apr 2018
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