Similarity of Neural Network Models: A Survey of Functional and Representational Measures

10 May 2023

Papers citing "Similarity of Neural Network Models: A Survey of Functional and Representational Measures"

50 / 56 papers shown

Title
Empirical Evaluation of Progressive Coding for Sparse Autoencoders Hans Peter Anders Søgaard 26 0 0 30 Apr 2025
Layers at Similar Depths Generate Similar Activations Across LLM Architectures Christopher Wolfram Aaron Schein 18 0 0 03 Apr 2025
Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni Oisin Mac Aodha Pietro Perona DRL 52 0 0 19 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 50 5 0 13 Mar 2025
Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation Wenqiang Zu Shenghao Xie Hao Chen Lei Ma MedIm 37 0 0 11 Mar 2025
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces Souhail Hadgi Luca Moschella Andrea Santilli Diego Gomez Qixing Huang Emanuele Rodolà Simone Melzi M. Ovsjanikov 35 0 0 07 Mar 2025
Representation Engineering for Large-Language Models: Survey and Research Challenges Lukasz Bartoszcze Sarthak Munshi Bryan Sukidi Jennifer Yen Zejia Yang David Williams-King Linh Le Kosi Asuzu Carsten Maple 95 0 0 24 Feb 2025
Understanding the Emergence of Multimodal Representation Alignment Megan Tjandrasuwita Chanakya Ekbote Liu Ziyin Paul Pu Liang 40 1 0 22 Feb 2025
Bias Similarity Across Large Language Models Hyejun Jeong Shiqing Ma Amir Houmansadr 41 0 0 20 Feb 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 33 0 0 30 Dec 2024
Spatio-temporal Causal Learning for Streamflow Forecasting Shu Wan Reepal Shah Qi Deng John Sabo Huan Liu K. Selçuk AI4TS 63 0 0 26 Nov 2024
What Representational Similarity Measures Imply about Decodable Information Sarah E. Harvey David Lipshutz Alex H. Williams 21 0 0 12 Nov 2024
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 36 0 0 07 Nov 2024
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks Tassilo Wald Constantin Ulrich Gregor Köhler David Zimmerer Stefan Denner Michael Baumgartner Fabian Isensee Priyank Jaini Klaus H. Maier-Hein 30 0 0 30 Oct 2024
Identifying Sub-networks in Neural Networks via Functionally Similar Representations Tian Gao Amit Dhurandhar K. Ramamurthy Dennis L. Wei 38 0 0 21 Oct 2024
Discriminating image representations with principal distortions Jenelle Feather David Lipshutz Sarah E. Harvey Alex H. Williams Eero P. Simoncelli 26 1 0 20 Oct 2024
Persistent Topological Features in Large Language Models Yuri Gardinazzi Giada Panerai Karthik Viswanathan A. Ansuini Alberto Cazzaniga Matteo Biagetti 31 2 0 14 Oct 2024
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures Junxuan Wang Xuyang Ge Wentao Shu Qiong Tang Yunhua Zhou Zhengfu He Xipeng Qiu 25 5 0 09 Oct 2024
Sparse Autoencoders Reveal Universal Feature Spaces Across Large Language Models Michael Lan Philip H. S. Torr Austin Meek Ashkan Khakzar David M. Krueger Fazl Barez 20 9 0 09 Oct 2024
Detecting and Approximating Redundant Computational Blocks in Neural Networks Irene Cannistraci Emanuele Rodolà Bastian Rieck 21 0 0 07 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information Yongheng Zhang Qiguang Chen Jingxuan Zhou Peng Wang Jiasheng Si Jin Wang Wenpeng Lu Libo Qin LRM 26 3 0 06 Oct 2024
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders Andreea Iana Goran Glavaš Heiko Paulheim 30 0 0 02 Oct 2024
On the universality of neural encodings in CNNs Florentin Guth Brice Ménard SSL 33 5 0 28 Sep 2024
Understanding Multimodal Hallucination with Parameter-Free Representation Alignment Yueqian Wang Jianxin Liang Yuxuan Wang Huishuai Zhang Dongyan Zhao 31 1 0 02 Sep 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective T. Kortus Ralf Keidel N.R. Gauger 37 0 0 18 Jul 2024
SimSMoE: Solving Representational Collapse via Similarity Measure Giang Do Hung Le T. Tran MoE 35 1 0 22 Jun 2024
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations Lorenzo Basile Santiago Acevedo Luca Bortolussi Fabio Anselmi Alex Rodriguez 26 4 0 22 Jun 2024
Latent Functional Maps Marco Fumero Marco Pegoraro Valentino Maiorca Francesco Locatello Emanuele Rodolà 27 1 0 20 Jun 2024
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 36 3 0 04 Jun 2024
The Platonic Representation Hypothesis Minyoung Huh Brian Cheung Tongzhou Wang Phillip Isola 66 101 0 13 May 2024
Identifying and interpreting non-aligned human conceptual representations using language modeling Wanqian Bao Uri Hasson 40 0 0 10 Mar 2024
Mapping the Multiverse of Latent Representations Jeremy Wayland Corinna Coupette Bastian Alexander Rieck 37 7 0 02 Feb 2024
On the generalization capacity of neural networks during generic multimodal reasoning Takuya Ito Soham Dan Mattia Rigotti James Kozloski Murray Campbell LRM 23 2 0 26 Jan 2024
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 75 37 0 22 Jan 2024
Towards Measuring Representational Similarity of Large Language Models Max Klabunde Mehdi Ben Amor Michael Granitzer Florian Lemmerich 23 1 0 05 Dec 2023
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations Sarah E. Harvey Brett W. Larsen Alex H. Williams 65 10 0 19 Nov 2023
From Charts to Atlas: Merging Latent Spaces into One Donato Crisostomi Irene Cannistraci Luca Moschella Pietro Barbiero Marco Ciccone Pietro Lió Emanuele Rodolà 16 3 0 11 Nov 2023
Perturbed examples reveal invariances shared by language models Ruchit Rawal Mariya Toneva AAML 20 0 0 07 Nov 2023
GIST: Generated Inputs Sets Transferability in Deep Learning Florian Tambon Foutse Khomh G. Antoniol AAML 19 1 0 01 Nov 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model Kaiyan Zhang Ning Ding Biqing Qi Xuekai Zhu Xinwei Long Bowen Zhou 30 3 0 24 Oct 2023
Understanding the Inner Workings of Language Models Through Representation Dissimilarity Davis Brown Charles Godfrey N. Konz Jonathan Tu Henry Kvinge 21 7 0 23 Oct 2023
Getting aligned on representational alignment Ilia Sucholutsky Lukas Muttenthaler Adrian Weller Andi Peng Andreea Bobu ... Thomas Unterthiner Andrew Kyle Lampinen Klaus-Robert Muller M. Toneva Thomas L. Griffiths 44 66 0 18 Oct 2023
Estimating Shape Distances on Neural Representations with Limited Samples Dean A. Pospisil Brett W. Larsen Sarah E. Harvey Alex H. Williams 15 1 0 09 Oct 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 27 12 0 02 Oct 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth Thomas Liebig 39 0 0 02 Oct 2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency Tassilo Wald Constantin Ulrich Fabian Isensee David Zimmerer Gregor Koehler Michael Baumgartner Klaus H. Maier-Hein OOD 18 1 0 05 Jul 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks Wojciech Masarczyk M. Ostaszewski Ehsan Imani Razvan Pascanu Piotr Milo's Tomasz Trzciñski 20 17 0 31 May 2023
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds Henry Kvinge Grayson Jorgenson Davis Brown Charles Godfrey Tegan H. Emerson 37 2 0 19 Nov 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning M. Gwilliam Abhinav Shrivastava SSL 52 16 1 16 Jun 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 30 5 0 20 May 2022