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Similarity of Neural Network Representations Revisited

Similarity of Neural Network Representations Revisited

1 May 2019
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
ArXivPDFHTML

Papers citing "Similarity of Neural Network Representations Revisited"

50 / 840 papers shown
Title
Diffused Redundancy in Pre-trained Representations
Diffused Redundancy in Pre-trained Representations
Vedant Nanda
Till Speicher
John P. Dickerson
S. Feizi
Krishna P. Gummadi
Adrian Weller
SSL
29
2
0
31 May 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Wojciech Masarczyk
M. Ostaszewski
Ehsan Imani
Razvan Pascanu
Piotr Milo's
Tomasz Trzciñski
41
19
0
31 May 2023
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity
  Tradeoff
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff
Arthur Jacot
MLT
26
13
0
30 May 2023
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
Camila Kolling
Till Speicher
Vedant Nanda
Mariya Toneva
Krishna P. Gummadi
30
1
0
30 May 2023
A Rainbow in Deep Network Black Boxes
A Rainbow in Deep Network Black Boxes
Florentin Guth
Brice Ménard
G. Rochette
S. Mallat
37
10
0
29 May 2023
Feature-Learning Networks Are Consistent Across Widths At Realistic
  Scales
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales
Nikhil Vyas
Alexander B. Atanasov
Blake Bordelon
Depen Morwani
Sabarish Sainathan
Cengiz Pehlevan
32
23
0
28 May 2023
A Three-regime Model of Network Pruning
A Three-regime Model of Network Pruning
Yefan Zhou
Yaoqing Yang
Arin Chang
Michael W. Mahoney
39
10
0
28 May 2023
On the special role of class-selective neurons in early training
On the special role of class-selective neurons in early training
Omkar Ranadive
Nikhil Thakurdesai
Ari S. Morcos
Matthew L. Leavitt
Stéphane Deny
22
2
0
27 May 2023
Emergent representations in networks trained with the Forward-Forward algorithm
Emergent representations in networks trained with the Forward-Forward algorithm
Niccolo Tosato
Lorenzo Basile
Emanuele Ballarin
Giuseppe de Alteriis
Alberto Cazzaniga
A. Ansuini
31
9
0
26 May 2023
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from
  Small Scale to Large Scale
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale
Zhiwei Hao
Jianyuan Guo
Kai Han
Han Hu
Chang Xu
Yunhe Wang
38
16
0
25 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized
  Federated Learning
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
Jiahao Tan
Yipeng Zhou
Gang Liu
Jessie Hui Wang
Shui Yu
FedML
30
14
0
25 May 2023
Parameter-Efficient Language Model Tuning with Active Learning in
  Low-Resource Settings
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
Josip Jukić
Jan vSnajder
39
4
0
23 May 2023
On Robustness of Finetuned Transformer-based NLP Models
On Robustness of Finetuned Transformer-based NLP Models
Pavan Kalyan Reddy Neerudu
S. Oota
Mounika Marreddy
Venkateswara Rao Kagita
Manish Gupta
32
7
0
23 May 2023
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer
  with Fine-tuning Slow and Fast
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast
Yiduo Guo
Yaobo Liang
Dongyan Zhao
Bin Liu
Du Nan
CLL
41
1
0
19 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
63
66
0
10 May 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
35
0
0
09 May 2023
DBAT: Dynamic Backward Attention Transformer for Material Segmentation
  with Cross-Resolution Patches
DBAT: Dynamic Backward Attention Transformer for Material Segmentation with Cross-Resolution Patches
Yuwen Heng
S. Dasmahapatra
Hansung Kim
24
1
0
06 May 2023
ZipIt! Merging Models from Different Tasks without Training
ZipIt! Merging Models from Different Tasks without Training
George Stoica
Daniel Bolya
J. Bjorner
Pratik Ramesh
Taylor N. Hearn
Judy Hoffman
VLM
MoMe
52
111
0
04 May 2023
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants &
  Potential Aliases on Darknet Markets
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets
V. Saxena
Nils Rethmeier
Gijs Van Dijck
Gerasimos Spanakis
26
6
0
04 May 2023
Exploring Linguistic Properties of Monolingual BERTs with Typological
  Classification among Languages
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages
Elena Sofia Ruzzetti
Federico Ranaldi
F. Logozzo
Michele Mastromattei
Leonardo Ranaldi
Fabio Massimo Zanzotto
32
8
0
03 May 2023
Identifying the Correlation Between Language Distance and Cross-Lingual
  Transfer in a Multilingual Representation Space
Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation Space
Fred Philippy
Siwen Guo
Shohreh Haddadan
33
7
0
03 May 2023
Discovering the Effectiveness of Pre-Training in a Large-scale
  Car-sharing Platform
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform
Kyungchul Park
Hyun-Kyo Chung
25
0
0
02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model
  Latent Agreement
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
Ailin Deng
Miao Xiong
Bryan Hooi
49
6
0
02 May 2023
Redundancy and Concept Analysis for Code-trained Language Models
Redundancy and Concept Analysis for Code-trained Language Models
Arushi Sharma
Zefu Hu
Christopher Quinn
Ali Jannesari
80
1
0
01 May 2023
Multi-Task Structural Learning using Local Task Similarity induced
  Neuron Creation and Removal
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
Naresh Gurulingan
Bahram Zonooz
Elahe Arani
32
2
0
30 Apr 2023
Uncovering the Representation of Spiking Neural Networks Trained with
  Surrogate Gradient
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
34
16
0
25 Apr 2023
Objectives Matter: Understanding the Impact of Self-Supervised
  Objectives on Vision Transformer Representations
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations
Shashank Shekhar
Florian Bordes
Pascal Vincent
Ari S. Morcos
29
10
0
25 Apr 2023
Distilling from Similar Tasks for Transfer Learning on a Budget
Distilling from Similar Tasks for Transfer Learning on a Budget
Kenneth Borup
Cheng Perng Phoo
Bharath Hariharan
30
2
0
24 Apr 2023
How good are variational autoencoders at transfer learning?
How good are variational autoencoders at transfer learning?
Lisa Bonheme
M. Grzes
OOD
DRL
23
2
0
21 Apr 2023
False Claims against Model Ownership Resolution
False Claims against Model Ownership Resolution
Jian-wei Liu
Rui Zhang
S. Szyller
Kui Ren
Nirmal Asokan
AAML
MLAU
31
11
0
13 Apr 2023
ADS_UNet: A Nested UNet for Histopathology Image Segmentation
ADS_UNet: A Nested UNet for Histopathology Image Segmentation
Yi-Lun Yang
S. Dasmahapatra
S. Mahmoodi
MedIm
SSeg
34
16
0
10 Apr 2023
Interpretable statistical representations of neural population dynamics
  and geometry
Interpretable statistical representations of neural population dynamics and geometry
Adam Gosztolai
Robert L. Peach
Alexis Arnaudon
Mauricio Barahona
P. Vandergheynst
17
8
0
06 Apr 2023
Source-free Domain Adaptation Requires Penalized Diversity
Source-free Domain Adaptation Requires Penalized Diversity
Laya Rafiee Sevyeri
Ivaxi Sheth
Farhood Farahnak
Alexandre See
Samira Ebrahimi Kahou
T. Fevens
Mohammad Havaei
TTA
24
0
0
06 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models?
What Affects Learned Equivariance in Deep Image Recognition Models?
Robert-Jan Bruintjes
Tomasz Motyka
Jan van Gemert
31
7
0
05 Apr 2023
Revisiting the Evaluation of Image Synthesis with GANs
Revisiting the Evaluation of Image Synthesis with GANs
Mengping Yang
Ceyuan Yang
Yichi Zhang
Qingyan Bai
Yujun Shen
Bo Dai
EGVM
46
7
0
04 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and
  Distributions
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Keller Jordan
OOD
24
11
0
04 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning
Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim
Jaeyoo Park
Bohyung Han
CLL
32
5
0
04 Apr 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dongwan Kim
Bohyung Han
CLL
15
48
0
04 Apr 2023
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
Yun-Hin Chan
Zhihan Jiang
Jing Deng
Edith C.H. Ngai
FedML
32
1
0
03 Apr 2023
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
Ori Linial
Alon Shoshan
Nadav Bhonker
Elad Hirsch
L. Zamir
Igor Kviatkovsky
Gérard Medioni
40
2
0
30 Mar 2023
ContraSim -- A Similarity Measure Based on Contrastive Learning
ContraSim -- A Similarity Measure Based on Contrastive Learning
Adir Rahamim
Yonatan Belinkov
SSL
22
2
0
29 Mar 2023
Transformer and Snowball Graph Convolution Learning for Brain functional
  network Classification
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification
Jinlong Hu
Ya-Lin Huang
Shoubin Dong
30
1
0
28 Mar 2023
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Qiao Gu
Dongsub Shim
Florian Shkurti
CLL
KELM
26
10
0
26 Mar 2023
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
Rickard Brüel-Gabrielsson
Tongzhou Wang
Manel Baradad
Justin Solomon
ViT
16
0
0
25 Mar 2023
Principles of Forgetting in Domain-Incremental Semantic Segmentation in
  Adverse Weather Conditions
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
Tobias Kalb
Jürgen Beyerer
CLL
26
5
0
24 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and
  Simplicity Bias
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
AAML
40
17
0
23 Mar 2023
Masked Image Training for Generalizable Deep Image Denoising
Masked Image Training for Generalizable Deep Image Denoising
Haoyu Chen
Jinjin Gu
Yihao Liu
Salma Abdel Magid
Chao Dong
Qiong Wang
Hanspeter Pfister
Lei Zhu
27
63
0
23 Mar 2023
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks
  from Static to Event Domain
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
Xiang He
Dongcheng Zhao
Yang Li
Guobin Shen
Qingqun Kong
Yi Zeng
50
5
0
23 Mar 2023
Beyond Universal Transformer: block reusing with adaptor in Transformer
  for automatic speech recognition
Beyond Universal Transformer: block reusing with adaptor in Transformer for automatic speech recognition
Haoyu Tang
Zhaoyi Liu
Chang Zeng
Xinfeng Li
34
1
0
23 Mar 2023
Continual Learning in the Presence of Spurious Correlation
Continual Learning in the Presence of Spurious Correlation
Donggyu Lee
Sangwon Jung
Taesup Moon
CLL
22
2
0
21 Mar 2023
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