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The Tunnel Effect: Building Data Representations in Deep Neural Networks

The Tunnel Effect: Building Data Representations in Deep Neural Networks

31 May 2023
Wojciech Masarczyk
M. Ostaszewski
Ehsan Imani
Razvan Pascanu
Piotr Milo's
Tomasz Trzciñski
ArXivPDFHTML

Papers citing "The Tunnel Effect: Building Data Representations in Deep Neural Networks"

20 / 20 papers shown
Title
Register and CLS tokens yield a decoupling of local and global features in large ViTs
Register and CLS tokens yield a decoupling of local and global features in large ViTs
Alexander Lappe
M. Giese
24
0
0
09 May 2025
Intermediate Layer Classifiers for OOD generalization
Intermediate Layer Classifiers for OOD generalization
Arnas Uselis
Seong Joon Oh
OOD
53
0
0
07 Apr 2025
Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems
Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems
Liu Ziyin
Yizhou Xu
T. Poggio
Isaac Chuang
50
4
0
07 Feb 2025
Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data
Alec S. Xu
Can Yaras
Peng Wang
Q. Qu
30
0
0
04 Jan 2025
Parseval Regularization for Continual Reinforcement Learning
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung
Lynn Cherif
D. Meger
Doina Precup
CLL
78
2
0
10 Dec 2024
Layer Pruning with Consensus: A Triple-Win Solution
Layer Pruning with Consensus: A Triple-Win Solution
Leandro Giusti Mugnaini
Carolina Tavares Duarte
Anna H. Reali Costa
Artur Jordao
73
0
0
21 Nov 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning
Towards Optimal Adapter Placement for Efficient Transfer Learning
Aleksandra I. Nowak
Otniel-Bogdan Mercea
Anurag Arnab
Jonas Pfeiffer
Yann N. Dauphin
Utku Evci
25
0
0
21 Oct 2024
Formation of Representations in Neural Networks
Formation of Representations in Neural Networks
Liu Ziyin
Isaac Chuang
Tomer Galanti
T. Poggio
37
4
0
03 Oct 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
52
1
0
25 Jul 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction
A Global Geometric Analysis of Maximal Coding Rate Reduction
Peng Wang
Huikang Liu
Druv Pai
Yaodong Yu
Zhihui Zhu
Q. Qu
Yi Ma
34
6
0
04 Jun 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models
Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu
V. Papyan
48
12
0
28 May 2024
Effective Layer Pruning Through Similarity Metric Perspective
Effective Layer Pruning Through Similarity Metric Perspective
Ian Pons
Bruno Yamamoto
Anna H. Reali Costa
Artur Jordao
46
2
0
27 May 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained
  Models?
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun
Kyungbok Lee
Jhair Gallardo
Giri Krishnan
Christopher Kanan
39
3
0
23 May 2024
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really
  Optimal?
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
Peter Súkeník
Marco Mondelli
Christoph H. Lampert
AI4CE
34
7
0
23 May 2024
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD
  with Near-perfect Representation Learning
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning
Chendi Wang
Yuqing Zhu
Weijie J. Su
Yu-Xiang Wang
AAML
58
4
0
14 May 2024
End-to-End Training Induces Information Bottleneck through Layer-Role
  Differentiation: A Comparative Analysis with Layer-wise Training
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training
Keitaro Sakamoto
Issei Sato
24
4
0
14 Feb 2024
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node
  Activation
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation
Sebastian Lee
Stefano Sarao Mannelli
Claudia Clopath
Sebastian Goldt
Andrew M. Saxe
CLL
50
12
0
18 May 2022
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OOD
KELM
116
58
0
01 Feb 2022
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
152
198
0
21 Mar 2020
The large learning rate phase of deep learning: the catapult mechanism
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
159
234
0
04 Mar 2020
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