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. 1803.02999
  4. Cited By
On First-Order Meta-Learning Algorithms

On First-Order Meta-Learning Algorithms

8 March 2018
Alex Nichol
Joshua Achiam
John Schulman
ArXivPDFHTML

Papers citing "On First-Order Meta-Learning Algorithms"

50 / 1,156 papers shown
Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDL
AI4CE
42
0
0
12 May 2025
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
Xin Wang
Ling Feng
Huijun Zhang
Lei Cao
Kaisheng Zeng
Qi Li
Yang Ding
Yi Dai
David A. Clifton
36
0
0
03 May 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
78
0
0
29 Apr 2025
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval
Hang Yu
Jiahao Wen
Zhedong Zheng
54
0
0
26 Apr 2025
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
Zimo Yan
Jie Zhang
Zheng Xie
Chang-rui Liu
Yong-Jin Liu
Yiping Song
36
0
0
22 Apr 2025
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Chenghao Xiao
Hou Pong Chan
Hao Zhang
Mahani Aljunied
Lidong Bing
Noura Al Moubayed
Yu Rong
63
0
0
18 Apr 2025
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE
J. Firoz
Franco Pellegrini
Mario Geiger
Darren J. Hsu
Jenna A. Bilbrey
...
Chris Mundy
Gábor Csányi
Justin S. Smith
Ponnuswamy Sadayappan
Sutanay Choudhury
26
0
0
14 Apr 2025
Meta-Continual Learning of Neural Fields
Meta-Continual Learning of Neural Fields
Seungyoon Woo
Junhyeog Yun
Gunhee Kim
CLL
AI4CE
28
1
0
08 Apr 2025
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Xinyuan Huang
Jiechao Gao
FedML
AI4CE
44
0
0
08 Apr 2025
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
Ajay Sivakumar
Shalini
Vasantha Raj
Sebastian Sylvester
AI4CE
34
0
0
03 Apr 2025
Adaptive Physics-informed Neural Networks: A Survey
Adaptive Physics-informed Neural Networks: A Survey
Edgar Torres
Jonathan Schiefer
Mathias Niepert
PINN
AI4CE
65
0
0
23 Mar 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
58
0
0
23 Mar 2025
HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks
HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks
Maria Pilligua
Danna Xue
Javier Vázquez-Corral
47
0
0
21 Mar 2025
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent
Yuci Han
Charles Toth
Alper Yilmaz
59
0
0
20 Mar 2025
Meta-learning characteristics and dynamics of quantum systems
Lucas Schorling
Pranav Vaidhyanathan
Jonas Schuff
M. J. Carballido
D. Zumbuhl
Gerard Milburn
Florian Marquardt
Jakob Foerster
Michael A. Osborne
N. Ares
AI4CE
41
1
0
13 Mar 2025
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic
Kexuan Wang
An Liu
44
0
0
13 Mar 2025
Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work
Kevin Wilkinghoff
Takuya Fujimura
Keisuke Imoto
Jonathan Le Roux
Zheng-Hua Tan
T. Toda
48
0
0
13 Mar 2025
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
Kexin Di
Xiuxing Li
Yuyang Han
Ziyu Li
Qing Li
Xia Wu
VLM
60
0
0
10 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra
Gregory Kang Ruey Lau
Szu Hui Ng
Bryan Kian Hsiang Low
PINN
48
0
0
10 Mar 2025
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models
Jeffrey Gu
Serena Yeung-Levy
AI4CE
34
0
0
02 Mar 2025
Asynchronous Personalized Federated Learning through Global Memorization
Fan Wan
Heng Chang
Xueqi Qiu
Rui Sun
L. Zhang
Xingyu Miao
Tianyu Zhang
Haoran Duan
Yang Long
34
0
0
01 Mar 2025
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Yating Yu
Congqi Cao
Yifan Zhang
Yanning Zhang
VLM
43
0
0
27 Feb 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Jaehyeon Son
Soochan Lee
Gunhee Kim
OffRL
74
1
0
26 Feb 2025
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
Michael Y. Hu
Jackson Petty
Chuan Shi
William Merrill
Tal Linzen
AI4CE
66
1
0
26 Feb 2025
Contrastive Visual Data Augmentation
Contrastive Visual Data Augmentation
Yu Zhou
B. Li
Mohan Tang
Xiaomeng Jin
Te-Lin Wu
Kuan-Hao Huang
Heng Ji
Kai-Wei Chang
Nanyun Peng
59
0
0
24 Feb 2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
Pranav Vaidhyanathan
Aristotelis Papatheodorou
Mark T. Mitchison
Natalia Ares
Ioannis Havoutis
PINN
AI4CE
49
1
0
23 Feb 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
62
0
0
20 Feb 2025
Geometric Neural Process Fields
Geometric Neural Process Fields
Wenzhe Yin
Zehao Xiao
Jiayi Shen
Yunlu Chen
Cees G. M. Snoek
J. Sonke
E. Gavves
AI4CE
41
0
0
04 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization
qNBO: quasi-Newton Meets Bilevel Optimization
Sheng Fang
Yong Liu
Wei-Ting Yao
Chengming Yu
Jin Zhang
90
0
0
03 Feb 2025
Geometric Mean Improves Loss For Few-Shot Learning
Geometric Mean Improves Loss For Few-Shot Learning
Tong Wu
Takumi Kobayashi
31
0
0
24 Jan 2025
One-Class Domain Adaptation via Meta-Learning
One-Class Domain Adaptation via Meta-Learning
Stephanie Holly
T. Bierweiler
Stefan von Dosky
Ahmed Frikha
C. Heitzinger
Jana Eder
78
0
0
22 Jan 2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
Wenhao Gu
Li Gu
Ziqiang Wang
Ching Yee Suen
Yang Wang
53
0
0
22 Jan 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
37
0
0
21 Jan 2025
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
Michael Schwingshackl
Fabio Francisco Oberweger
Markus Murschitz
48
1
0
20 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Parinita Nema
V. Kurmi
CLL
58
0
0
17 Jan 2025
On Penalty-based Bilevel Gradient Descent Method
On Penalty-based Bilevel Gradient Descent Method
Han Shen
Quan-Wu Xiao
Tianyi Chen
60
51
0
08 Jan 2025
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
Xi Yu
Tiejun Lv
Weicai Li
Wei Ni
Dusit Niyato
E. Hossain
43
2
0
02 Jan 2025
Functional Risk Minimization
Functional Risk Minimization
Ferran Alet
Clement Gehring
Tomás Lozano-Pérez
Kenji Kawaguchi
Joshua B. Tenenbaum
Leslie Pack Kaelbling
OffRL
60
0
0
31 Dec 2024
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
Arnav M. Das
Gantavya Bhatt
Lilly Kumari
Sahil Verma
J. Bilmes
31
0
0
23 Dec 2024
Memory-Reduced Meta-Learning with Guaranteed Convergence
Memory-Reduced Meta-Learning with Guaranteed Convergence
Honglin Yang
Ji Ma
Xiao Yu
71
0
0
16 Dec 2024
LAN: Learning to Adapt Noise for Image Denoising
LAN: Learning to Adapt Noise for Image Denoising
Changjin Kim
Tae Hyun Kim
Sungyong Baik
101
4
0
14 Dec 2024
Task-driven Image Fusion with Learnable Fusion Loss
Task-driven Image Fusion with Learnable Fusion Loss
Haowen Bai
Jiangshe Zhang
Zixiang Zhao
Yichen Wu
Lilun Deng
Yukun Cui
Tao Feng
Shuang Xu
83
0
0
04 Dec 2024
On the ERM Principle in Meta-Learning
On the ERM Principle in Meta-Learning
Yannay Alon
Steve Hanneke
Shay Moran
Uri Shalit
CLL
LRM
74
1
0
26 Nov 2024
Low-Data Classification of Historical Music Manuscripts: A Few-Shot
  Learning Approach
Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach
Elona Shatri
Daniel Raymond
George Fazekas
75
0
0
25 Nov 2024
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from
  Human Demonstrations
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
Gaurav Verma
Rachneet Kaur
Nishan Srishankar
Zhen Zeng
T. Balch
Manuela Veloso
LLMAG
72
5
0
20 Nov 2024
Generalizable Person Re-identification via Balancing Alignment and Uniformity
Y. Cho
JaeYoon Kim
Woo Jae Kim
Junsik Jung
Sung-eui Yoon
CVBM
OOD
80
0
0
18 Nov 2024
Photon: Federated LLM Pre-Training
Photon: Federated LLM Pre-Training
Lorenzo Sani
Alex Iacob
Zeyu Cao
Royson Lee
Bill Marino
...
Dongqi Cai
Zexi Li
Wanru Zhao
Xinchi Qiu
Nicholas D. Lane
AI4CE
33
7
0
05 Nov 2024
Investigating Large Language Models for Complex Word Identification in
  Multilingual and Multidomain Setups
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Razvan-Alexandru Smadu
David-Gabriel Ion
Dumitru-Clementin Cercel
Florin-Catalin Pop
Mihaela-Claudia Cercel
34
1
0
03 Nov 2024
Beyond the Boundaries of Proximal Policy Optimization
Beyond the Boundaries of Proximal Policy Optimization
Charlie B. Tan
Edan Toledo
Benjamin Ellis
Jakob Foerster
Ferenc Huszár
23
0
0
01 Nov 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia
Wenhan Yang
Yi Yu
Xun Lin
Henghui Ding
Lingyu Duan
Xudong Jiang
AAML
SILM
63
6
0
26 Oct 2024
1234...222324
Next