Meta-Learning Sparse Compression Networks

18 May 2022

Papers citing "Meta-Learning Sparse Compression Networks"

9 / 9 papers shown

Title
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki 42 0 0 21 Jan 2025
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé Luca Versari Emilien Dupont Hyunjik Kim Matthias Bauer DiffM 93 1 0 30 Nov 2024
C3: High-performance and low-complexity neural compression from a single image or video Hyunjik Kim Matthias Bauer Lucas Theis Jonathan Richard Schwarz Emilien Dupont VGen 25 24 0 05 Dec 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks Woojin Cho Kookjin Lee Donsub Rim Noseong Park AI4CE PINN 37 16 0 14 Oct 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation Matthias Bauer Emilien Dupont Andy Brock Dan Rosenbaum Jonathan Richard Schwarz Hyunjik Kim DiffM 36 35 0 06 Feb 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 34 25 0 23 Jan 2023
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 49 31 0 22 Oct 2022
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 95 54 0 01 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 413 11,715 0 09 Mar 2017