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Insights on representational similarity in neural networks with
  canonical correlation

Insights on representational similarity in neural networks with canonical correlation

14 June 2018
Ari S. Morcos
M. Raghu
Samy Bengio
    DRL
ArXivPDFHTML

Papers citing "Insights on representational similarity in neural networks with canonical correlation"

50 / 84 papers shown
Title
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
78
0
0
29 Apr 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde
Tassilo Wald
Tobias Schumacher
Klaus H. Maier-Hein
Markus Strohmaier
Adriana Iamnitchi
AI4TS
VLM
76
5
0
13 Mar 2025
Mapping fMRI Signal and Image Stimuli in an Artificial Neural Network Latent Space: Bringing Artificial and Natural Minds Together
Mapping fMRI Signal and Image Stimuli in an Artificial Neural Network Latent Space: Bringing Artificial and Natural Minds Together
Cesare Maria Dalbagno
Manuel de Castro Ribeiro Jardim
Mihnea Angheluţă
42
0
0
12 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis
X. Zhang
Xiaoyong Xue
Xiaoning Du
Xiaofei Xie
Y. Liu
Meng Sun
FedML
AAML
60
0
0
06 Mar 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
41
0
0
09 Feb 2025
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clémentine Dominé
Nicolas Anguita
A. Proca
Lukas Braun
D. Kunin
P. Mediano
Andrew M. Saxe
32
3
0
22 Sep 2024
Relative Representations: Topological and Geometric Perspectives
Relative Representations: Topological and Geometric Perspectives
Alejandro García-Castellanos
G. Marchetti
Danica Kragic
Martina Scolamiero
48
0
0
17 Sep 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation
  Analysis
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
Stefan Horoi
Albert Manuel Orozco Camacho
Eugene Belilovsky
Guy Wolf
FedML
MoMe
29
9
0
07 Jul 2024
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
Lorenzo Basile
Santiago Acevedo
Luca Bortolussi
Fabio Anselmi
Alex Rodriguez
42
4
0
22 Jun 2024
Latent Space Translation via Inverse Relative Projection
Latent Space Translation via Inverse Relative Projection
Valentino Maiorca
Luca Moschella
Marco Fumero
Francesco Locatello
Emanuele Rodolà
34
1
0
21 Jun 2024
Neural Lineage
Neural Lineage
Runpeng Yu
Xinchao Wang
26
4
0
17 Jun 2024
A Generic Layer Pruning Method for Signal Modulation Recognition Deep
  Learning Models
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
Yao Lu
Yutao Zhu
Yuqi Li
Dongwei Xu
Yun Lin
Qi Xuan
Xiaoniu Yang
28
5
0
12 Jun 2024
Exploring Self-Supervised Multi-view Contrastive Learning for Speech
  Emotion Recognition with Limited Annotations
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations
Bulat Khaertdinov
Pedro Jeuris
Annanda Sousa
Enrique Hortal
25
1
0
12 Jun 2024
When predict can also explain: few-shot prediction to select better neural latents
When predict can also explain: few-shot prediction to select better neural latents
Kabir Dabholkar
Omri Barak
BDL
47
0
0
23 May 2024
Investigating the Áutoencoder Behavior' in Speech Self-Supervised
  Models: a focus on HuBERT's Pretraining
Investigating the Áutoencoder Behavior' in Speech Self-Supervised Models: a focus on HuBERT's Pretraining
Valentin Vielzeuf
SSL
44
0
0
14 May 2024
Do Vision and Language Encoders Represent the World Similarly?
Do Vision and Language Encoders Represent the World Similarly?
Mayug Maniparambil
Raiymbek Akshulakov
Y. A. D. Djilali
Sanath Narayan
M. Seddik
K. Mangalam
Noel E. O'Connor
VLM
21
11
0
10 Jan 2024
Interpretation on Multi-modal Visual Fusion
Interpretation on Multi-modal Visual Fusion
Hao Chen
Hao Zhou
Yongjian Deng
28
0
0
19 Aug 2023
Towards End-to-end Speech-to-text Summarization
Towards End-to-end Speech-to-text Summarization
Raul Monteiro
Diogo Pernes
9
1
0
06 Jun 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
24
7
0
23 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
52
64
0
10 May 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified
  Neural Network Models
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
D. Honegger
Konstantin Schurholt
Damian Borth
22
4
0
26 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
30
16
0
25 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
Improving Speech Translation by Cross-Modal Multi-Grained Contrastive
  Learning
Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning
Hao Zhang
Nianwen Si
Yaqi Chen
Wenlin Zhang
Xukui Yang
Dan Qu
Weiqiang Zhang
35
9
0
20 Apr 2023
Model Stitching: Looking For Functional Similarity Between
  Representations
Model Stitching: Looking For Functional Similarity Between Representations
Adriano Hernandez
Rumen Dangovski
Peter Y. Lu
Marin Soljacic
15
3
0
20 Mar 2023
Testing the Channels of Convolutional Neural Networks
Testing the Channels of Convolutional Neural Networks
Kang Choi
Donghyun Son
Younghoon Kim
Jiwon Seo
20
1
0
06 Mar 2023
A Toy Model of Universality: Reverse Engineering How Networks Learn
  Group Operations
A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations
Bilal Chughtai
Lawrence Chan
Neel Nanda
15
96
0
06 Feb 2023
Backdoor Attack Detection in Computer Vision by Applying Matrix
  Factorization on the Weights of Deep Networks
Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks
Khondoker Murad Hossain
Tim Oates
AAML
21
4
0
15 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
40
10
0
01 Dec 2022
Experimental Observations of the Topology of Convolutional Neural
  Network Activations
Experimental Observations of the Topology of Convolutional Neural Network Activations
Emilie Purvine
Davis Brown
Brett Jefferson
C. Joslyn
Brenda Praggastis
Archit Rathore
Madelyn Shapiro
Bei Wang
Youjia Zhou
AI4CE
34
12
0
01 Dec 2022
Linear Classification of Neural Manifolds with Correlated Variability
Linear Classification of Neural Manifolds with Correlated Variability
Albert J. Wakhloo
Tamara J. Sussman
SueYeon Chung
18
10
0
27 Nov 2022
ModelDiff: A Framework for Comparing Learning Algorithms
ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah
Sung Min Park
Andrew Ilyas
A. Madry
SyDa
51
26
0
22 Nov 2022
Internal Representations of Vision Models Through the Lens of Frames on
  Data Manifolds
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds
Henry Kvinge
Grayson Jorgenson
Davis Brown
Charles Godfrey
Tegan H. Emerson
50
2
0
19 Nov 2022
On the Effect of Pre-training for Transformer in Different Modality on
  Offline Reinforcement Learning
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
S. Takagi
OffRL
18
7
0
17 Nov 2022
Multimodal Dyadic Impression Recognition via Listener Adaptive
  Cross-Domain Fusion
Multimodal Dyadic Impression Recognition via Listener Adaptive Cross-Domain Fusion
Yuanchao Li
P. Bell
Catherine Lai
18
3
0
09 Nov 2022
Comparative layer-wise analysis of self-supervised speech models
Comparative layer-wise analysis of self-supervised speech models
Ankita Pasad
Bowen Shi
Karen Livescu
SSL
22
109
0
08 Nov 2022
Probing Statistical Representations For End-To-End ASR
Probing Statistical Representations For End-To-End ASR
A. Ollerenshaw
Md. Asif Jalal
Thomas Hain
27
2
0
03 Nov 2022
Exploring Effective Distillation of Self-Supervised Speech Models for
  Automatic Speech Recognition
Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition
Yujin Wang
Changli Tang
Ziyang Ma
Zhisheng Zheng
Xie Chen
Weiqiang Zhang
31
1
0
27 Oct 2022
Understanding Domain Learning in Language Models Through Subpopulation
  Analysis
Understanding Domain Learning in Language Models Through Subpopulation Analysis
Zheng Zhao
Yftah Ziser
Shay B. Cohen
32
6
0
22 Oct 2022
GULP: a prediction-based metric between representations
GULP: a prediction-based metric between representations
Enric Boix Adserà
Hannah Lawrence
George Stepaniants
Philippe Rigollet
38
11
0
12 Oct 2022
Dataset Inference for Self-Supervised Models
Dataset Inference for Self-Supervised Models
Adam Dziedzic
Haonan Duan
Muhammad Ahmad Kaleem
Nikita Dhawan
Jonas Guan
Yannis Cattan
Franziska Boenisch
Nicolas Papernot
24
26
0
16 Sep 2022
Random initialisations performing above chance and how to find them
Random initialisations performing above chance and how to find them
Frederik Benzing
Simon Schug
Robert Meier
J. Oswald
Yassir Akram
Nicolas Zucchet
Laurence Aitchison
Angelika Steger
ODL
20
24
0
15 Sep 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to
  Outperform MAML and Their Empirical Equivalence
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
Brando Miranda
P. Yu
Yu-xiong Wang
Oluwasanmi Koyejo
30
10
0
02 Aug 2022
Memorization Without Overfitting: Analyzing the Training Dynamics of
  Large Language Models
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala
Aram H. Markosyan
Luke Zettlemoyer
Armen Aghajanyan
TDI
23
185
0
22 May 2022
How do Variational Autoencoders Learn? Insights from Representational
  Similarity
How do Variational Autoencoders Learn? Insights from Representational Similarity
Lisa Bonheme
M. Grzes
CoGe
SSL
DRL
27
10
0
17 May 2022
Explaining the Effectiveness of Multi-Task Learning for Efficient
  Knowledge Extraction from Spine MRI Reports
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports
Arijit Sehanobish
M. Sandora
Nabila Abraham
Jayashri Pawar
Danielle Torres
Anasuya Das
M. Becker
Richard Herzog
Benjamin Odry
Ron Vianu
11
3
0
06 May 2022
Visualizing Deep Neural Networks with Topographic Activation Maps
Visualizing Deep Neural Networks with Topographic Activation Maps
A. Krug
Raihan Kabir Ratul
Christopher Olson
Sebastian Stober
FAtt
AI4CE
28
3
0
07 Apr 2022
A Complementary Joint Training Approach Using Unpaired Speech and Text
  for Low-Resource Automatic Speech Recognition
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition
Ye Du
Jie M. Zhang
Qiu-shi Zhu
Lirong Dai
Ming Wu
Xin Fang
Zhouwang Yang
24
2
0
05 Apr 2022
Testing the Tools of Systems Neuroscience on Artificial Neural Networks
Testing the Tools of Systems Neuroscience on Artificial Neural Networks
Grace W. Lindsay
14
4
0
14 Feb 2022
Deconfounded Representation Similarity for Comparison of Neural Networks
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui
Yogesh Kumar
Pekka Marttinen
Samuel Kaski
CML
27
13
0
31 Jan 2022
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