Parameter Prediction for Unseen Deep Architectures

25 October 2021

Boris Knyazev

M. Drozdzal

Graham W. Taylor

Adriana Romero Soriano

OOD

ArXiv PDF HTML

Papers citing "Parameter Prediction for Unseen Deep Architectures"

23 / 23 papers shown

Title
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 58 0 0 25 Apr 2025
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 52 5 0 18 Sep 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture Zhengxin Yang Wanling Gao Luzhou Peng Yunyou Huang Fei Tang Jianfeng Zhan 31 0 0 20 Jun 2024
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 22 30 0 07 Dec 2023
Rethink DARTS Search Space and Renovate a New Benchmark Jiuling Zhang Zhiming Ding 28 1 0 12 Jun 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 19 17 0 07 Mar 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 21 63 0 30 Jan 2023
Efficiently Learning Small Policies for Locomotion and Manipulation Shashank Hegde Gaurav Sukhatme 14 3 0 30 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 73 64 0 26 Sep 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 76 35 0 24 Jul 2022
Automating Neural Architecture Design without Search Zixuan Liang Yanan Sun 3DV 11 0 0 21 Apr 2022
Teaching Networks to Solve Optimization Problems Xinran Liu Yuzhe Lu Ali Abbasi Meiyi Li Javad Mohammadi Soheil Kolouri 28 11 0 08 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 70 42 0 01 Feb 2022
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 510 0 11 Feb 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Mingli Song Junsong Yuan Dacheng Tao GNN 130 95 0 10 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 40 56 0 29 Dec 2020
Neural Architecture Performance Prediction Using Graph Neural Networks Jovita Lukasik David Friede Heiner Stuckenschmidt M. Keuper GNN AI4CE 28 10 0 19 Oct 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,072 0 13 Feb 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,196 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,319 0 05 Nov 2016