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 / 113 papers shown

Title
Model alignment using inter-modal bridges Ali Gholamzadeh Noor Sajid 20 0 0 18 May 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge M. Ramanujam Yinwei Dai Kyle Jamieson Ravi Netravali 86 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 64 0 0 27 Apr 2025
Shared Global and Local Geometry of Language Model Embeddings Andrew Lee Melanie Weber F. Viégas Martin Wattenberg FedML 79 3 0 27 Mar 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 67 0 0 24 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 52 0 0 03 Feb 2025
Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos Giovanni Luca Marchetti Danica Kragic Martina Scolamiero 55 0 0 17 Sep 2024
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations Lorenzo Basile Santiago Acevedo Luca Bortolussi Fabio Anselmi Alex Rodriguez 53 4 0 22 Jun 2024
Latent Space Translation via Inverse Relative Projection Valentino Maiorca Luca Moschella Marco Fumero Francesco Locatello Emanuele Rodolà 47 1 0 21 Jun 2024
When predict can also explain: few-shot prediction to select better neural latents Kabir V. Dabholkar Omri Barak BDL 62 0 0 23 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 40 2 0 13 Apr 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 67 5 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 39 90 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 34 11 0 10 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 26 1 0 19 Dec 2023
Efficient Stitchable Task Adaptation Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 39 3 0 29 Nov 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 27 34 0 12 Oct 2023
Coloring Deep CNN Layers with Activation Hue Loss Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews LLMSV 35 0 0 05 Oct 2023
Restore Translation Using Equivariant Neural Networks Yihan Wang Lijia Yu Xiao-Shan Gao 21 0 0 29 Jun 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 34 6 0 26 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 63 66 0 10 May 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 34 7 0 05 Apr 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 32 4 0 15 Mar 2023
Eliciting Latent Predictions from Transformers with the Tuned Lens Nora Belrose Zach Furman Logan Smith Danny Halawi Igor V. Ostrovsky Lev McKinney Stella Biderman Jacob Steinhardt 27 196 0 14 Mar 2023
Bootstrapping Parallel Anchors for Relative Representations Irene Cannistraci Luca Moschella Valentino Maiorca Marco Fumero Antonio Norelli Emanuele Rodolà 46 5 0 01 Mar 2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding Jordan S. Cotler Kai Sheng Tai Felipe Hernández Blake Elias David Sussillo 22 4 0 27 Feb 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 89 9 0 21 Feb 2023
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time Rudolf Herdt Maximilian Schmidt Daniel Otero Baguer Jean LeĆlerc Arrastia Peter Maass 30 2 0 04 Feb 2023
StitchNet: Composing Neural Networks from Pre-Trained Fragments Surat Teerapittayanon Marcus Z. Comiter Bradley McDanel H. T. Kung 23 1 0 05 Jan 2023
Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni Yulin Wang Jiangwei Yu Haojun Jiang Yu Cao Gao Huang VLM 23 11 0 08 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 55 10 0 01 Dec 2022
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds Henry Kvinge Grayson Jorgenson Davis Brown Charles Godfrey Tegan H. Emerson 59 2 0 19 Nov 2022
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 43 16 0 24 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 25 120 0 24 Oct 2022
GULP: a prediction-based metric between representations Enric Boix Adserà Hannah Lawrence George Stepaniants Philippe Rigollet 46 11 0 12 Oct 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 23 35 0 06 Oct 2022
Relative representations enable zero-shot latent space communication Luca Moschella Valentino Maiorca Marco Fumero Antonio Norelli Francesco Locatello Emanuele Rodolà 34 97 0 30 Sep 2022
Linearly Mapping from Image to Text Space Jack Merullo Louis Castricato Carsten Eickhoff Ellie Pavlick VLM 170 106 0 30 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 23 3 0 24 Sep 2022
Analyzing Transformers in Embedding Space Guy Dar Mor Geva Ankit Gupta Jonathan Berant 34 84 0 06 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 27 28 0 05 Sep 2022
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval Yilan Zhang Feng-ying Xie Xuedong Song Hangning Zhou Yiguang Yang Haopeng Zhang Jie Liu OOD 16 9 0 01 Aug 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 31 49 0 20 Jun 2022
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective Rhea Chowers Yair Weiss 35 2 0 06 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 36 0 0 05 Jun 2022
On the Symmetries of Deep Learning Models and their Internal Representations Charles Godfrey Davis Brown Tegan H. Emerson Henry Kvinge 28 40 0 27 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning Fei Wang Zhewei Xu Pedro A. Szekely Muhao Chen LMTD 27 47 0 08 May 2022
PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials Phong C. H. Nguyen Y. Nguyen Joseph B. Choi P. Seshadri H. Udaykumar Stephen Seung-Yeob Baek AI4CE 24 16 0 04 Apr 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses Alexander Veicht Cédric Renggli Diogo Barradas AAML 35 8 0 08 Mar 2022
A Principled Design of Image Representation: Towards Forensic Tasks Shuren Qi Yushu Zhang Chao Wang Jiantao Zhou Xiaochun Cao 25 17 0 02 Mar 2022