Similarity and Matching of Neural Network Representations

27 October 2021

Papers citing "Similarity and Matching of Neural Network Representations"

20 / 20 papers shown

Title
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu Jiashi Li Kun Gao B. Liu L. Zhang Wanlei Zhou Y. Zhang AAML MU 80 0 0 28 Jan 2025
Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos G. Marchetti Danica Kragic Martina Scolamiero 48 0 0 17 Sep 2024
Latent Space Translation via Inverse Relative Projection Valentino Maiorca Luca Moschella Marco Fumero Francesco Locatello Emanuele Rodolà 36 1 0 21 Jun 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 34 87 0 11 Jan 2024
Efficient Stitchable Task Adaptation Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 31 3 0 29 Nov 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 52 64 0 10 May 2023
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 23 2 0 21 Apr 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 22 193 0 14 Mar 2023
Measuring the Instability of Fine-Tuning Yupei Du D. Nguyen 25 4 0 15 Feb 2023
Projected Subnetworks Scale Adaptation Siddhartha Datta N. Shadbolt VLM CLL 28 0 0 27 Jan 2023
Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni Yulin Wang Jiangwei Yu Haojun Jiang Yu Cao Gao Huang VLM 18 11 0 08 Dec 2022
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 51 26 0 22 Nov 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation Tobias Kalb Jürgen Beyerer CLL 32 8 0 16 Sep 2022
Analyzing Transformers in Embedding Space Guy Dar Mor Geva Ankit Gupta Jonathan Berant 21 83 0 06 Sep 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 23 49 0 20 Jun 2022
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective Rhea Chowers Yair Weiss 33 2 0 06 Jun 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses Alexander Veicht Cédric Renggli Diogo Barradas AAML 30 7 0 08 Mar 2022
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 44 104 0 14 Jun 2021
Similarity Analysis of Contextual Word Representation Models John M. Wu Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 51 73 0 03 May 2020