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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
Discovering Language-neutral Sub-networks in Multilingual Language
  Models
Discovering Language-neutral Sub-networks in Multilingual Language Models
Negar Foroutan
Mohammadreza Banaei
R. Lebret
Antoine Bosselut
Karl Aberer
LRM
41
25
0
25 May 2022
Federated Self-supervised Learning for Heterogeneous Clients
Federated Self-supervised Learning for Heterogeneous Clients
Disha Makhija
Nhat Ho
Joydeep Ghosh
FedML
41
25
0
25 May 2022
Representation Projection Invariance Mitigates Representation Collapse
Representation Projection Invariance Mitigates Representation Collapse
Anastasia Razdaibiedina
A. Khetan
Zohar Karnin
Daniel Khashabi
Vishaal Kapoor
V. Madan
40
5
0
23 May 2022
On the Prediction Instability of Graph Neural Networks
On the Prediction Instability of Graph Neural Networks
Max Klabunde
Florian Lemmerich
40
5
0
20 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
199
128
0
19 May 2022
Insights on Neural Representations for End-to-End Speech Recognition
Insights on Neural Representations for End-to-End Speech Recognition
A. Ollerenshaw
Md. Asif Jalal
Thomas Hain
21
7
0
19 May 2022
Continual Pre-Training Mitigates Forgetting in Language and Vision
Continual Pre-Training Mitigates Forgetting in Language and Vision
Andrea Cossu
Tinne Tuytelaars
Antonio Carta
Lucia C. Passaro
Vincenzo Lomonaco
D. Bacciu
KELM
VLM
CLL
22
69
0
19 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
35
10
0
17 May 2022
Manifold Characteristics That Predict Downstream Task Performance
Manifold Characteristics That Predict Downstream Task Performance
Ruan van der Merwe
Gregory Newman
E. Barnard
AAML
14
1
0
16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial
  Attacks
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
Siddhartha Datta
AAML
34
4
0
15 May 2022
Multiformer: A Head-Configurable Transformer-Based Model for Direct
  Speech Translation
Multiformer: A Head-Configurable Transformer-Based Model for Direct Speech Translation
Gerard Sant
Gerard I. Gállego
Belen Alastruey
Marta R. Costa-jussá
14
3
0
14 May 2022
IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words
  and Their Semantic Representations
IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations
Damir Korenčić
Ivan Grubišić
21
3
0
13 May 2022
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound
Hongwei Jin
Zishun Yu
Xinhua Zhang
33
2
0
12 May 2022
Enhancing Cross-lingual Transfer by Manifold Mixup
Enhancing Cross-lingual Transfer by Manifold Mixup
Huiyun Yang
Huadong Chen
Hao Zhou
Lei Li
AAML
31
44
0
09 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
26
3
0
06 May 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Jie Ren
Mingjie Li
Meng Zhou
Shih-Han Chan
Quanshi Zhang
13
3
0
04 May 2022
Diverse Imagenet Models Transfer Better
Diverse Imagenet Models Transfer Better
Niv Nayman
A. Golbert
Asaf Noy
Tan Ping
Lihi Zelnik-Manor
27
0
0
19 Apr 2022
The Devil is in the Frequency: Geminated Gestalt Autoencoder for
  Self-Supervised Visual Pre-Training
The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training
Hao Liu
Xinghua Jiang
Xin Li
Antai Guo
Deqiang Jiang
Bo Ren
32
37
0
18 Apr 2022
ResT V2: Simpler, Faster and Stronger
ResT V2: Simpler, Faster and Stronger
Qing-Long Zhang
Yubin Yang
ViT
35
25
0
15 Apr 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning
  in Medical Imaging
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
M. Taher
F. Haghighi
Michael B. Gotway
Jianming Liang
OOD
SSL
15
31
0
15 Apr 2022
MiniViT: Compressing Vision Transformers with Weight Multiplexing
MiniViT: Compressing Vision Transformers with Weight Multiplexing
Jinnian Zhang
Houwen Peng
Kan Wu
Mengchen Liu
Bin Xiao
Jianlong Fu
Lu Yuan
ViT
28
124
0
14 Apr 2022
Enabling Synthetic Data adoption in regulated domains
Enabling Synthetic Data adoption in regulated domains
Giorgio Visani
Giacomo Graffi
Mattia Alfero
Enrico Bagli
D. Capuzzo
F. Chesani
27
7
0
13 Apr 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods
  in Natural Language Inference
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference
Kerem Zaman
Yonatan Belinkov
29
8
0
11 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
30
27
0
06 Apr 2022
Testing Feedforward Neural Networks Training Programs
Testing Feedforward Neural Networks Training Programs
Houssem Ben Braiek
Foutse Khomh
AAML
13
14
0
01 Apr 2022
Feature Structure Distillation with Centered Kernel Alignment in BERT
  Transferring
Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
Heeseung Jung
Doyeon Kim
Seung-Hoon Na
Kangil Kim
27
5
0
01 Apr 2022
Stochastic Backpropagation: A Memory Efficient Strategy for Training
  Video Models
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
Feng Cheng
Ming Xu
Yuanjun Xiong
Hao Chen
Xinyu Li
Wei Li
Wei Xia
22
16
0
31 Mar 2022
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio
  Representation Learning
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning
Sreyan Ghosh
Ashish Seth
and Deepak Mittal
Maneesh Singh
S. Umesh
SSL
27
6
0
25 Mar 2022
Probing Representation Forgetting in Supervised and Unsupervised
  Continual Learning
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
Mohammad-Javad Davari
Nader Asadi
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLL
KELM
27
76
0
24 Mar 2022
Clustering units in neural networks: upstream vs downstream information
Clustering units in neural networks: upstream vs downstream information
Richard D. Lange
David Rolnick
Konrad Paul Kording
14
10
0
22 Mar 2022
What Do Adversarially trained Neural Networks Focus: A Fourier
  Domain-based Study
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study
Binxiao Huang
Chaofan Tao
R. Lin
Ngai Wong
AAML
OOD
20
3
0
16 Mar 2022
Geometric and Topological Inference for Deep Representations of Complex
  Networks
Geometric and Topological Inference for Deep Representations of Complex Networks
Baihan Lin
11
5
0
10 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream
  Transformer yields state of the art Brain-Score for Area V4
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4
William Berrios
Arturo Deza
MedIm
ViT
30
13
0
08 Mar 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting
  Defenses
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses
Alexander Veicht
Cédric Renggli
Diogo Barradas
AAML
35
8
0
08 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLM
OOD
MedIm
27
85
0
02 Mar 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
42
86
0
22 Feb 2022
Architecture Agnostic Federated Learning for Neural Networks
Architecture Agnostic Federated Learning for Neural Networks
Disha Makhija
Xing Han
Nhat Ho
Joydeep Ghosh
FedML
21
40
0
15 Feb 2022
On the Origins of the Block Structure Phenomenon in Neural Network
  Representations
On the Origins of the Block Structure Phenomenon in Neural Network Representations
Thao Nguyen
M. Raghu
Simon Kornblith
25
14
0
15 Feb 2022
Testing the Tools of Systems Neuroscience on Artificial Neural Networks
Testing the Tools of Systems Neuroscience on Artificial Neural Networks
Grace W. Lindsay
22
4
0
14 Feb 2022
Investigating Power laws in Deep Representation Learning
Investigating Power laws in Deep Representation Learning
Arna Ghosh
Arnab Kumar Mondal
Kumar Krishna Agrawal
Blake A. Richards
SSL
OOD
14
19
0
11 Feb 2022
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning
  based Deep Neural Networks
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
Javier Poyatos
Daniel Molina
Aritz D. Martinez
Javier Del Ser
Francisco Herrera
39
33
0
08 Feb 2022
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned
  Datasets
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Tal Shnitzer
Mikhail Yurochkin
Kristjan Greenewald
Justin Solomon
41
6
0
03 Feb 2022
When Do Flat Minima Optimizers Work?
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
26
58
0
01 Feb 2022
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
A. Madry
TDI
47
131
0
01 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
35
13
0
31 Jan 2022
DNS: Determinantal Point Process Based Neural Network Sampler for
  Ensemble Reinforcement Learning
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
Hassam Sheikh
Kizza M Nandyose Frisbee
Mariano Phielipp
25
8
0
31 Jan 2022
Does Transliteration Help Multilingual Language Modeling?
Does Transliteration Help Multilingual Language Modeling?
Ibraheem Muhammad Moosa
Mahmud Elahi Akhter
Ashfia Binte Habib
45
11
0
29 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI
PaRT: Parallel Learning Towards Robust and Transparent AI
Mahsa Paknezhad
Hamsawardhini Rengarajan
Chenghao Yuan
Sujanya Suresh
Manas Gupta
Savitha Ramasamy
Hwee Kuan Lee
OOD
38
1
0
24 Jan 2022
Representation Topology Divergence: A Method for Comparing Neural
  Network Representations
Representation Topology Divergence: A Method for Comparing Neural Network Representations
S. Barannikov
I. Trofimov
Nikita Balabin
Evgeny Burnaev
3DPC
40
45
0
31 Dec 2021
CSformer: Bridging Convolution and Transformer for Compressive Sensing
CSformer: Bridging Convolution and Transformer for Compressive Sensing
Dongjie Ye
Zhangkai Ni
Hanli Wang
Jian Zhang
Shiqi Wang
Sam Kwong
ViT
MedIm
37
52
0
31 Dec 2021
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