ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.00617
  4. Cited By
Learning Large-scale Neural Fields via Context Pruned Meta-Learning

Learning Large-scale Neural Fields via Context Pruned Meta-Learning

1 February 2023
Jihoon Tack
Subin Kim
Sihyun Yu
Jaeho Lee
Jinwoo Shin
Jonathan Richard Schwarz
ArXivPDFHTML

Papers citing "Learning Large-scale Neural Fields via Context Pruned Meta-Learning"

12 / 12 papers shown
Title
Meta-Continual Learning of Neural Fields
Meta-Continual Learning of Neural Fields
Seungyoon Woo
Junhyeog Yun
Gunhee Kim
CLL
AI4CE
24
1
0
08 Apr 2025
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
Paul Friedrich
Florentin Bieder
P. Cattin
MedIm
47
0
0
20 Feb 2025
Latent-INR: A Flexible Framework for Implicit Representations of Videos
  with Discriminative Semantics
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
Shishira R. Maiya
Anubhav Gupta
M. Gwilliam
Max Ehrlich
Abhinav Shrivastava
33
0
1
05 Aug 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language
  Model Pre-training
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
David Brandfonbrener
Hanlin Zhang
Andreas Kirsch
Jonathan Richard Schwarz
Sham Kakade
26
7
0
15 Jun 2024
Nonparametric Teaching of Implicit Neural Representations
Nonparametric Teaching of Implicit Neural Representations
Chen Zhang
Steven Tin Sui Luo
Jason Chun Lok Li
Yik-Chung Wu
Ngai Wong
31
2
0
17 May 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through
  Sparse Interpolated Experts
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen
Jihoon Tack
Yunqiao Yang
Yee Whye Teh
Jonathan Richard Schwarz
Ying Wei
MoE
22
1
0
13 Mar 2024
Task-Distributionally Robust Data-Free Meta-Learning
Task-Distributionally Robust Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Yongxian Wei
Baoyuan Wu
Chun Yuan
Dacheng Tao
OOD
18
0
0
23 Nov 2023
Compressing multidimensional weather and climate data into neural
  networks
Compressing multidimensional weather and climate data into neural networks
La-mei Huang
Torsten Hoefler
AI4CE
30
30
0
22 Oct 2022
Meta-Learning with Self-Improving Momentum Target
Meta-Learning with Self-Improving Momentum Target
Jihoon Tack
Jongjin Park
Hankook Lee
Jaeho Lee
Jinwoo Shin
LRM
55
12
0
11 Oct 2022
Meta-Learning Sparse Compression Networks
Meta-Learning Sparse Compression Networks
Jonathan Richard Schwarz
Yee Whye Teh
49
25
0
18 May 2022
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
188
495
0
11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
1