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Understanding image representations by measuring their equivariance and
  equivalence
v1v2 (latest)

Understanding image representations by measuring their equivariance and equivalence

21 November 2014
Karel Lenc
Andrea Vedaldi
    SSLFAtt
ArXiv (abs)PDFHTML

Papers citing "Understanding image representations by measuring their equivariance and equivalence"

50 / 260 papers shown
Title
ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices
ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices
Maoyu Wang
Yao Lu
Jiaqi Nie
Zeyu Wang
Yun Lin
Qi Xuan
Guan Gui
27
0
0
08 Jun 2025
Transferring Features Across Language Models With Model Stitching
Transferring Features Across Language Models With Model Stitching
Alan Chen
Jack Merullo
Alessandro Stolfo
Ellie Pavlick
35
0
0
07 Jun 2025
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix M. G. Nielsen
Emanuele Marconato
Andrea Dittadi
Luigi Gresele
58
0
0
04 Jun 2025
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
Hanlin Yu
Berfin Inal
Georgios Arvanitidis
Soren Hauberg
Francesco Locatello
Marco Fumero
DRL
72
1
0
02 Jun 2025
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
Bahareh Tolooshams
Aditi Chandrashekar
Rayhan Zirvi
Abbas Mammadov
Jiachen Yao
Chuwei Wang
Anima Anandkumar
DiffM
66
0
0
29 May 2025
Model Stitching by Functional Latent Alignment
Model Stitching by Functional Latent Alignment
Ioannis Athanasiadis
Anmar Karmush
Michael Felsberg
60
0
0
26 May 2025
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
Patrick Leask
Neel Nanda
Noura Al Moubayed
89
1
0
23 May 2025
Model alignment using inter-modal bridges
Model alignment using inter-modal bridges
Ali Gholamzadeh
Noor Sajid
231
0
0
18 May 2025
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
135
0
0
29 Apr 2025
Platonic Grounding for Efficient Multimodal Language Models
Platonic Grounding for Efficient Multimodal Language Models
Moulik Choraria
Xinbo Wu
Akhil Bhimaraju
Nitesh Sekhar
Yue Wu
Xu Zhang
Prateek Singhal
Lav Varshney
115
0
0
27 Apr 2025
Shared Global and Local Geometry of Language Model Embeddings
Shared Global and Local Geometry of Language Model Embeddings
Andrew Lee
Melanie Weber
F. Viégas
Martin Wattenberg
FedML
121
7
0
27 Mar 2025
Semantic Alignment of Unimodal Medical Text and Vision Representations
Maxime Di Folco
E. Chan
Marta Hasny
Cosmin I. Bercea
Julia A. Schnabel
98
0
0
06 Mar 2025
Model Lakes
Model Lakes
Koyena Pal
David Bau
Renée J. Miller
179
2
0
24 Feb 2025
Understanding the Emergence of Multimodal Representation Alignment
Understanding the Emergence of Multimodal Representation Alignment
Megan Tjandrasuwita
Chanakya Ekbote
Liu Ziyin
Paul Pu Liang
110
2
0
22 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability
Discovering Chunks in Neural Embeddings for Interpretability
Shuchen Wu
Stephan Alaniz
Eric Schulz
Zeynep Akata
103
0
0
03 Feb 2025
Scale Invariance of Graph Neural Networks
Scale Invariance of Graph Neural Networks
Qin Jiang
Chengjia Wang
Michael Lones
Wei Pang
GNN
172
0
0
28 Nov 2024
Group Crosscoders for Mechanistic Analysis of Symmetry
Group Crosscoders for Mechanistic Analysis of Symmetry
Liv Gorton
70
1
0
31 Oct 2024
Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning
Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning
Siddharth Sahu
Abdulrahman Altahhan
3DPCMedIm
78
0
0
22 Oct 2024
Intriguing Properties of Large Language and Vision Models
Intriguing Properties of Large Language and Vision Models
Young-Jun Lee
ByungSoo Ko
Han-Gyu Kim
Yechan Hwang
Ho-Jin Choi
LRMVLM
131
0
0
07 Oct 2024
Relative Representations: Topological and Geometric Perspectives
Relative Representations: Topological and Geometric Perspectives
Alejandro García-Castellanos
Giovanni Luca Marchetti
Danica Kragic
Martina Scolamiero
101
1
0
17 Sep 2024
Affine steerers for structured keypoint description
Affine steerers for structured keypoint description
Georg Bökman
Johan Edstedt
Michael Felsberg
Fredrik Kahl
LLMSV
74
2
0
26 Aug 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
58
0
0
18 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
86
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
85
2
0
21 Jun 2024
Latent Functional Maps
Latent Functional Maps
Marco Fumero
Marco Pegoraro
Valentino Maiorca
Francesco Locatello
Emanuele Rodolà
112
0
0
20 Jun 2024
Learning Color Equivariant Representations
Learning Color Equivariant Representations
Felix O'Mahony
Yulong Yang
Christine Allen-Blanchette
73
0
0
13 Jun 2024
FusionBench: A Comprehensive Benchmark of Deep Model Fusion
FusionBench: A Comprehensive Benchmark of Deep Model Fusion
Anke Tang
Li Shen
Yong Luo
Han Hu
Di Lin
Dacheng Tao
ELMMoMeVLM
82
27
0
05 Jun 2024
On Affine Homotopy between Language Encoders
On Affine Homotopy between Language Encoders
Robin SM Chan
Reda Boumasmoud
Anej Svete
Yuxin Ren
Qipeng Guo
...
Shauli Ravfogel
Mrinmaya Sachan
Bernhard Schölkopf
Mennatallah El-Assady
Ryan Cotterell
75
4
0
04 Jun 2024
Decomposing and Interpreting Image Representations via Text in ViTs
  Beyond CLIP
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
S. Balasubramanian
Samyadeep Basu
Soheil Feizi
CLIP
79
6
0
03 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 V. Dabholkar
Omri Barak
BDL
125
0
0
23 May 2024
The Platonic Representation Hypothesis
The Platonic Representation Hypothesis
Minyoung Huh
Brian Cheung
Tongzhou Wang
Phillip Isola
142
142
0
13 May 2024
Multimodal Cross-Document Event Coreference Resolution Using Linear
  Semantic Transfer and Mixed-Modality Ensembles
Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles
Abhijnan Nath
Huma Jamil
Shafiuddin Rehan Ahmed
George Baker
Rahul Ghosh
James H. Martin
Nathaniel Blanchard
Nikhil Krishnaswamy
65
2
0
13 Apr 2024
Training-Free Pretrained Model Merging
Training-Free Pretrained Model Merging
Zhenxing Xu
Ke Yuan
Huiqiong Wang
Yong Wang
Mingli Song
Mingli Song
MoMe
96
18
0
04 Mar 2024
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Minyoung Huh
Brian Cheung
Jeremy Bernstein
Phillip Isola
Pulkit Agrawal
106
12
0
26 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at
  Larger Scales
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi
Yushu Zhang
Chao Wang
Zhihua Xia
Xiaochun Cao
Jian Weng
63
1
0
23 Feb 2024
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with
  Trajectory Stitching
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Zizheng Pan
Bohan Zhuang
De-An Huang
Weili Nie
Zhiding Yu
Chaowei Xiao
Jianfei Cai
A. Anandkumar
89
19
0
21 Feb 2024
On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning
  Paradigm
On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning Paradigm
Zhanpeng Zhou
Zijun Chen
Yilan Chen
Bo Zhang
Junchi Yan
MoMe
105
11
0
06 Feb 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal
Minh N. H. Nguyen
Ye Lin Tun
Seongjin Kim
My T. Thai
Choong Seon Hong
125
7
0
22 Jan 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations
  of Language Models
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun
Avi Caciularu
Adam Pearce
Lucas Dixon
Mor Geva
142
114
0
11 Jan 2024
Manipulating Feature Visualizations with Gradient Slingshots
Manipulating Feature Visualizations with Gradient Slingshots
Dilyara Bareeva
Marina M.-C. Höhne
Alexander Warnecke
Lukas Pirch
Klaus-Robert Müller
Konrad Rieck
Sebastian Lapuschkin
Kirill Bykov
AAML
76
6
0
11 Jan 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
96
14
0
10 Jan 2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual
  Zero-shot Transfer
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer
Haotian Ye
Yihong Liu
Chunlan Ma
Hinrich Schütze
56
2
0
09 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography
  Reconstruction
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu
A. Perelli
50
1
0
19 Dec 2023
Building Variable-sized Models via Learngene Pool
Building Variable-sized Models via Learngene Pool
Boyu Shi
Shiyu Xia
Xu Yang
Haokun Chen
Zhi Kou
Xin Geng
106
2
0
10 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors
Steerers: A framework for rotation equivariant keypoint descriptors
Georg Bökman
Johan Edstedt
Michael Felsberg
Fredrik Kahl
LLMSV
75
12
0
04 Dec 2023
A Comprehensive Study of Vision Transformers in Image Classification
  Tasks
A Comprehensive Study of Vision Transformers in Image Classification Tasks
Mahmoud Khalil
Ahmad Khalil
A. Ngom
ViT
66
10
0
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Unsupervised Keypoints from Pretrained Diffusion Models
Unsupervised Keypoints from Pretrained Diffusion Models
Eric Hedlin
Gopal Sharma
Shweta Mahajan
Xingzhe He
Hossam N. Isack
Abhishek Kar Helge Rhodin
Andrea Tagliasacchi
Kwang Moo Yi
79
8
0
29 Nov 2023
Efficient Stitchable Task Adaptation
Efficient Stitchable Task Adaptation
Haoyu He
Zizheng Pan
Jing Liu
Jianfei Cai
Bohan Zhuang
126
3
0
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Probing clustering in neural network representations
Probing clustering in neural network representations
Thao Nguyen
Simon Kornblith
59
1
0
14 Nov 2023
The Fairness Stitch: Unveiling the Potential of Model Stitching in
  Neural Network De-Biasing
The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing
Modar Sulaiman
Kallol Roy
67
0
0
06 Nov 2023
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