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Rosetta Neurons: Mining the Common Units in a Model Zoo

Rosetta Neurons: Mining the Common Units in a Model Zoo

15 June 2023
Amil Dravid
Yossi Gandelsman
Alexei A. Efros
Assaf Shocher
ArXivPDFHTML

Papers citing "Rosetta Neurons: Mining the Common Units in a Model Zoo"

26 / 26 papers shown
Title
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Jiahua Lan
Sen Zhang
Haixia Pan
Ruijun Liu
Li Shen
Dacheng Tao
CLL
28
0
0
09 Apr 2025
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach
Shyamgopal Karthik
Quentin Bouniot
Serge Belongie
Zeynep Akata
VLM
69
0
0
03 Apr 2025
Representational Similarity via Interpretable Visual Concepts
Representational Similarity via Interpretable Visual Concepts
Neehar Kondapaneni
Oisin Mac Aodha
Pietro Perona
DRL
169
0
0
19 Mar 2025
Quantifying Interpretability in CLIP Models with Concept Consistency
Avinash Madasu
Vasudev Lal
Phillip Howard
VLM
69
0
0
14 Mar 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Sheng-Yu Wang
Aaron Hertzmann
Alexei A. Efros
Jun-Yan Zhu
Richard Zhang
TDI
128
2
0
21 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan
Julian Forsyth
Thomas Fel
M. Kowal
Konstantinos G. Derpanis
111
7
0
06 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability
Discovering Chunks in Neural Embeddings for Interpretability
Shuchen Wu
Stephan Alaniz
Eric Schulz
Zeynep Akata
47
0
0
03 Feb 2025
Visual Large Language Models for Generalized and Specialized Applications
Yifan Li
Zhixin Lai
Wentao Bao
Zhen Tan
Anh Dao
Kewei Sui
Jiayi Shen
Dong Liu
Huan Liu
Yu Kong
VLM
88
11
0
06 Jan 2025
Explainable and Interpretable Multimodal Large Language Models: A
  Comprehensive Survey
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
S. Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
104
15
0
03 Dec 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance
LG-CAV: Train Any Concept Activation Vector with Language Guidance
Qihan Huang
Jie Song
Mengqi Xue
H. Zhang
Bingde Hu
Huiqiong Wang
Hao Jiang
Xingen Wang
Xiuming Zhang
VLM
34
0
0
14 Oct 2024
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Nick Jiang
Anish Kachinthaya
Suzie Petryk
Yossi Gandelsman
VLM
34
15
0
03 Oct 2024
Quantifying and Enabling the Interpretability of CLIP-like Models
Quantifying and Enabling the Interpretability of CLIP-like Models
Avinash Madasu
Yossi Gandelsman
Vasudev Lal
Phillip Howard
VLM
56
2
0
10 Sep 2024
AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature
  Space
AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space
Huzheng Yang
James Gee
Jianbo Shi
VOS
36
1
0
26 Jun 2024
Interpreting the Second-Order Effects of Neurons in CLIP
Interpreting the Second-Order Effects of Neurons in CLIP
Yossi Gandelsman
Alexei A. Efros
Jacob Steinhardt
MILM
62
16
0
06 Jun 2024
The Platonic Representation Hypothesis
The Platonic Representation Hypothesis
Minyoung Huh
Brian Cheung
Tongzhou Wang
Phillip Isola
80
111
0
13 May 2024
Evolving Interpretable Visual Classifiers with Large Language Models
Evolving Interpretable Visual Classifiers with Large Language Models
Mia Chiquier
Utkarsh Mall
Carl Vondrick
VLM
30
10
0
15 Apr 2024
Defining and Extracting generalizable interaction primitives from DNNs
Defining and Extracting generalizable interaction primitives from DNNs
Lu Chen
Siyu Lou
Benhao Huang
Quanshi Zhang
29
9
0
29 Jan 2024
Universal Neurons in GPT2 Language Models
Universal Neurons in GPT2 Language Models
Wes Gurnee
Theo Horsley
Zifan Carl Guo
Tara Rezaei Kheirkhah
Qinyi Sun
Will Hathaway
Neel Nanda
Dimitris Bertsimas
MILM
102
37
0
22 Jan 2024
Understanding Video Transformers via Universal Concept Discovery
Understanding Video Transformers via Universal Concept Discovery
M. Kowal
Achal Dave
Rares Andrei Ambrus
Adrien Gaidon
Konstantinos G. Derpanis
P. Tokmakov
ViT
37
8
0
19 Jan 2024
Interpreting CLIP's Image Representation via Text-Based Decomposition
Interpreting CLIP's Image Representation via Text-Based Decomposition
Yossi Gandelsman
Alexei A. Efros
Jacob Steinhardt
VLM
21
81
0
09 Oct 2023
The Quantization Model of Neural Scaling
The Quantization Model of Neural Scaling
Eric J. Michaud
Ziming Liu
Uzay Girit
Max Tegmark
MILM
27
77
0
23 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for
  Out-of-Distribution Detection
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Nikolas Adaloglou
Félix D. P. Michels
Tim Kaiser
M. Kollmann
VLM
37
0
0
10 Mar 2023
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
490
0
01 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,443
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
347
5,785
0
29 Apr 2021
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,450
0
21 Nov 2016
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