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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 / 835 papers shown
Title
Prediction-driven resource provisioning for serverless container
  runtimes
Prediction-driven resource provisioning for serverless container runtimes
Dimitrios Tomaras
Michail Tsenos
V. Kalogeraki
AI4TS
43
2
0
09 Oct 2024
Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders
Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders
Michael Lan
Philip Torr
Austin Meek
Ashkan Khakzar
David M. Krueger
Fazl Barez
43
11
0
09 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
76
66
0
09 Oct 2024
TIMBER: On supporting data pipelines in Mobile Cloud Environments
TIMBER: On supporting data pipelines in Mobile Cloud Environments
Dimitrios Tomaras
Michail Tsenos
V. Kalogeraki
Dimitrios Gunopulos
32
0
0
08 Oct 2024
Enforcing Interpretability in Time Series Transformers: A Concept
  Bottleneck Framework
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework
Angela van Sprang
Erman Acar
Willem Zuidema
AI4TS
51
1
0
08 Oct 2024
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual
  Alignment
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment
Amir Hossein Kargaran
Ali Modarressi
Nafiseh Nikeghbal
Jana Diesner
François Yvon
Hinrich Schütze
ELM
49
3
0
08 Oct 2024
Detecting and Approximating Redundant Computational Blocks in Neural
  Networks
Detecting and Approximating Redundant Computational Blocks in Neural Networks
Irene Cannistraci
Emanuele Rodolà
Bastian Rieck
36
0
0
07 Oct 2024
Next state prediction gives rise to entangled, yet compositional
  representations of objects
Next state prediction gives rise to entangled, yet compositional representations of objects
Tankred Saanum
Luca M. Schulze Buschoff
Peter Dayan
Eric Schulz
OCL
CoGe
OOD
32
1
0
07 Oct 2024
Double Oracle Neural Architecture Search for Game Theoretic Deep
  Learning Models
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
Aye Phyu Phyu Aung
Xinrun Wang
Ruiyu Wang
Hau Chan
Bo An
Xiaoli Li
J. Senthilnath
AAML
23
0
0
07 Oct 2024
The Optimization Landscape of SGD Across the Feature Learning Strength
The Optimization Landscape of SGD Across the Feature Learning Strength
Alexander B. Atanasov
Alexandru Meterez
James B. Simon
Cengiz Pehlevan
50
2
0
06 Oct 2024
Measuring and Controlling Solution Degeneracy across Task-Trained
  Recurrent Neural Networks
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
Ann Huang
Satpreet H. Singh
Kanaka Rajan
24
0
0
04 Oct 2024
Learning from Offline Foundation Features with Tensor Augmentations
Learning from Offline Foundation Features with Tensor Augmentations
Emir Konuk
Christos Matsoukas
Moein Sorkhei
Phitchapha Lertsiravaramet
Kevin Smith
OffRL
26
1
0
03 Oct 2024
Intelligence at the Edge of Chaos
Intelligence at the Edge of Chaos
Sifan Wang
Aakash Patel
S. Rizvi
Nianchen Liu
Shiyang Zhang
Amin Karbasi
E. Zappala
David van Dijk
34
3
0
03 Oct 2024
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures
  in Neural News Recommenders
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
Andreea Iana
Goran Glavaš
Heiko Paulheim
42
0
0
02 Oct 2024
Sparse Autoencoders Reveal Temporal Difference Learning in Large
  Language Models
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models
Can Demircan
Tankred Saanum
Akshay K. Jagadish
Marcel Binz
Eric Schulz
35
1
0
02 Oct 2024
Replacement Learning: Training Vision Tasks with Fewer Learnable
  Parameters
Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters
Yuming Zhang
Peizhe Wang
Shouxin Zhang
Dongzhi Guan
Jiabin Liu
Junhao Su
38
0
0
02 Oct 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach
  for Deep Learning
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
Chia-Hsiang Kao
Bharath Hariharan
48
1
0
30 Sep 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
31
1
0
29 Sep 2024
On the universality of neural encodings in CNNs
On the universality of neural encodings in CNNs
Florentin Guth
Brice Ménard
SSL
56
5
0
28 Sep 2024
A Framework for Standardizing Similarity Measures in a Rapidly Evolving
  Field
A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field
Nathan Cloos
Guangyu Robert Yang
Christopher J. Cueva
21
2
0
26 Sep 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free
  Class Incremental Learning
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
Grzegorz Rype'sć
Sebastian Cygert
Tomasz Trzciñski
Bartłomiej Twardowski
43
4
0
26 Sep 2024
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly
  Detection
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
Yi Gu
Yi Lin
Kwang-Ting Cheng
Hao Chen
UQCV
45
2
0
26 Sep 2024
How Feature Learning Can Improve Neural Scaling Laws
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon
Alexander B. Atanasov
Cengiz Pehlevan
57
12
0
26 Sep 2024
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in
  Historical Documents
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents
Emanuela Boros
Maud Ehrmann
33
0
0
25 Sep 2024
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
38
3
0
22 Sep 2024
Are Music Foundation Models Better at Singing Voice Deepfake Detection?
  Far-Better Fuse them with Speech Foundation Models
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models
Orchid Chetia Phukan
Sarthak Jain
Swarup Ranjan Behera
Arun Balaji Buduru
Rajesh Sharma
S. R Mahadeva Prasanna
40
0
0
21 Sep 2024
Down-Sampling Inter-Layer Adapter for Parameter and Computation
  Efficient Ultra-Fine-Grained Image Recognition
Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition
Edwin Arkel Rios
Femiloye Oyerinde
Min-Chun Hu
Bo-Cheng Lai
32
0
0
17 Sep 2024
Relative Representations: Topological and Geometric Perspectives
Relative Representations: Topological and Geometric Perspectives
Alejandro García-Castellanos
G. Marchetti
Danica Kragic
Martina Scolamiero
50
0
0
17 Sep 2024
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision
  Mamba and Transformer Networks
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks
Meng Lou
Yunxiang Fu
Yizhou Yu
Mamba
63
5
0
15 Sep 2024
Heterogeneity-Aware Coordination for Federated Learning via Stitching
  Pre-trained blocks
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks
Shichen Zhan
Yebo Wu
Chunlin Tian
Yan Zhao
Li Li
FedML
38
2
0
11 Sep 2024
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language
  Models
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models
Emily Cheng
Richard Antonello
77
4
0
09 Sep 2024
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Minhee Cho
Hyesong Choi
Hayeon Jo
Dongbo Min
27
1
0
04 Sep 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive
  Personalization
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization
Qianyi Zhao
Chen Qu
Cen Chen
Mingyuan Fan
Yanhao Wang
44
1
0
28 Aug 2024
MPruner: Optimizing Neural Network Size with CKA-Based Mutual
  Information Pruning
MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruning
Seungbeom Hu
ChanJun Park
Andrew Ferraiuolo
Sang-Ki Ko
Jinwoo Kim
Haein Song
Jieung Kim
16
1
0
24 Aug 2024
Multilevel Interpretability Of Artificial Neural Networks: Leveraging
  Framework And Methods From Neuroscience
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
Zhonghao He
Jascha Achterberg
Katie Collins
Kevin K. Nejad
Danyal Akarca
...
Chole Li
Kai J. Sandbrink
Stephen Casper
Anna Ivanova
Grace W. Lindsay
AI4CE
28
1
0
22 Aug 2024
LAKD-Activation Mapping Distillation Based on Local Learning
LAKD-Activation Mapping Distillation Based on Local Learning
Yaoze Zhang
Yuming Zhang
Yu Zhao
Yue Zhang
Feiyu Zhu
37
0
0
21 Aug 2024
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive
  Layer Freezing
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing
Wu Yebo
Li Li
Tian Chunlin
Chang Tao
Lin Chi
Wang Cong
Xu Cheng-Zhong
FedML
34
4
0
17 Aug 2024
A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models
A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models
Geonhee Kim
Marco Valentino
André Freitas
LRM
AI4CE
30
7
0
16 Aug 2024
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual
  Learning with Pre-training
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling Chen
Yunchao Wei
VLM
CLL
47
2
0
15 Aug 2024
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake
  Detection
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
Yi Zhu
Surya Koppisetti
Trang Tran
Gaurav Bharaj
52
9
0
26 Jul 2024
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level
  Semantic Slicing
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing
Shide Zhou
Tianlin Li
Yihao Huang
Ling Shi
Kailong Wang
Yang Liu
Haoyu Wang
18
0
0
26 Jul 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
64
1
0
25 Jul 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Meng Wang
Yunzhi Yao
Ziwen Xu
Shuofei Qiao
Shumin Deng
...
Yong-jia Jiang
Pengjun Xie
Fei Huang
Huajun Chen
Ningyu Zhang
55
28
0
22 Jul 2024
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual
  Recognition
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition
Yurong Zhang
Honghao Chen
Xinyu Zhang
Xiangxiang Chu
Li Song
47
1
0
19 Jul 2024
Temporal Representation Learning for Stock Similarities and Its
  Applications in Investment Management
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management
Yoon-Jeong Hwang
Stefan Zohren
Yongjae Lee
AIFin
38
1
0
18 Jul 2024
All Roads Lead to Rome? Exploring Representational Similarities Between
  Latent Spaces of Generative Image Models
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
Charumathi Badrinath
Usha Bhalla
Alexander X. Oesterling
Suraj Srinivas
Himabindu Lakkaraju
DiffM
30
0
0
18 Jul 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking --
  A Loss Landscape Perspective
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective
T. Kortus
Ralf Keidel
N.R. Gauger
56
0
0
18 Jul 2024
CerberusDet: Unified Multi-Task Object Detection
CerberusDet: Unified Multi-Task Object Detection
Irina Tolstykh
Mikhail Chernyshov
Maksim Kuprashevich
VLM
ObjD
56
0
0
17 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base
  Models for Vision Tasks
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
Zhenyu Wang
S. Nirjon
32
0
0
13 Jul 2024
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse
  Mixture-of-Experts
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
Zeliang Zhang
Xiaodong Liu
Hao Cheng
Chenliang Xu
Jianfeng Gao
MoE
40
9
0
12 Jul 2024
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