Hyper-Representations: Self-Supervised Representation Learning on Neural
Network Weights for Model Characteristic Prediction

Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction

28 October 2021

Konstantin Schurholt

Dimche Kostadinov

Papers citing "Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction"

12 / 12 papers shown

Title
Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language Anthony Costarelli Mat Allen Severin Field 27 1 0 03 Oct 2024
Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes Qi Ma Danda Pani Paudel E. Konukoglu Luc Van Gool 40 6 0 25 Jun 2024
Learning Useful Representations of Recurrent Neural Network Weight Matrices Vincent Herrmann Francesco Faccio Jürgen Schmidhuber 23 7 0 18 Mar 2024
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning Daniel Jiménez-López Daniel Nuria Rodríguez Barroso Nuria M. V. Luzón M. Victoria Francisco Herrera Francisco AAML 21 0 0 20 Nov 2023
Steganalysis of AI Models LSB Attacks Daniel Gilkarov Ran Dubin AAML 20 6 0 03 Oct 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 47 63 0 30 Jan 2023
NeRN -- Learning Neural Representations for Neural Networks Maor Ashkenazi Zohar Rimon Ron Vainshtein Shir Levi Elad Richardson Pinchas Mintz Eran Treister 3DH 27 13 0 27 Dec 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 52 29 0 29 Sep 2022
Hyper-Representations for Pre-Training and Transfer Learning Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 17 10 0 22 Jul 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 178 139 0 28 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020