v1v2 (latest)

Understanding image representations by measuring their equivariance and equivalence

21 November 2014

Andrea Vedaldi

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 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 Alan Chen Jack Merullo Alessandro Stolfo Ellie Pavlick 37 0 0 07 Jun 2025
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 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 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 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 Patrick Leask Neel Nanda Noura Al Moubayed 89 1 0 23 May 2025
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 M. Ramanujam Yinwei Dai Kyle Jamieson Ravi Netravali 137 0 0 29 Apr 2025
Platonic Grounding for Efficient Multimodal Language Models Moulik Choraria Xinbo Wu Akhil Bhimaraju Nitesh Sekhar Yue Wu Xu Zhang Prateek Singhal Lav Varshney 117 0 0 27 Apr 2025
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 Koyena Pal David Bau Renée J. Miller 179 2 0 24 Feb 2025
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 Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 106 0 0 03 Feb 2025
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 Liv Gorton 75 1 0 31 Oct 2024
Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning Siddharth Sahu Abdulrahman Altahhan 3DPC MedIm 78 0 0 22 Oct 2024
Intriguing Properties of Large Language and Vision Models Young-Jun Lee ByungSoo Ko Han-Gyu Kim Yechan Hwang Ho-Jin Choi LRM VLM 134 0 0 07 Oct 2024
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 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 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 Lorenzo Basile Santiago Acevedo Luca Bortolussi Fabio Anselmi Alex Rodriguez 86 4 0 22 Jun 2024
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 Marco Fumero Marco Pegoraro Valentino Maiorca Francesco Locatello Emanuele Rodolà 112 0 0 20 Jun 2024
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 Anke Tang Li Shen Yong Luo Han Hu Di Lin Dacheng Tao ELM MoMe VLM 82 27 0 05 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 75 4 0 04 Jun 2024
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 Kabir V. Dabholkar Omri Barak BDL 125 0 0 23 May 2024
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 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 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 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 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 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 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 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 Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 142 114 0 11 Jan 2024
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? Mayug Maniparambil Raiymbek Akshulakov Y. A. D. Djilali Sanath Narayan M. Seddik K. Mangalam Noel E. O'Connor VLM 98 14 0 10 Jan 2024
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 Hang Xu A. Perelli 50 1 0 19 Dec 2023
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 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 Mahmoud Khalil Ahmad Khalil A. Ngom ViT 66 10 0 02 Dec 2023
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 Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 126 3 0 29 Nov 2023
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 Modar Sulaiman Kallol Roy 67 0 0 06 Nov 2023