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. 1703.03400
  4. Cited By
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
ArXivPDFHTML

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 1,593 papers shown
Title
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
40
0
0
15 Jun 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Lior Friedman
Ron Meir
70
0
0
13 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin
Ilya Zisman
Alexey Zemtsov
Viacheslav Sinii
105
4
0
13 Jun 2024
Strategies for Pretraining Neural Operators
Strategies for Pretraining Neural Operators
Anthony Y. Zhou
Cooper Lorsung
AmirPouya Hemmasian
Amir Barati Farimani
AI4CE
39
4
0
12 Jun 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online
  Reinforcement Learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Mohammadreza Nakhaei
Aidan Scannell
J. Pajarinen
OffRL
47
1
0
12 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning
Noise-Aware Differentially Private Regression via Meta-Learning
Ossi Raisa
Stratis Markou
Matthew Ashman
W. Bruinsma
Marlon Tobaben
Antti Honkela
Richard E. Turner
66
1
0
12 Jun 2024
Agnostic Sharpness-Aware Minimization
Agnostic Sharpness-Aware Minimization
Van-Anh Nguyen
Quyen Tran
Tuan Truong
Thanh-Toan Do
Dinh Q. Phung
Trung Le
38
0
0
11 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
David R. Wessels
David M. Knigge
Samuele Papa
Riccardo Valperga
Sharvaree P. Vadgama
E. Gavves
Erik J. Bekkers
40
7
0
09 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Subhojyoti Mukherjee
Josiah P. Hanna
Qiaomin Xie
Robert Nowak
69
2
0
07 Jun 2024
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
31
0
0
05 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
31
1
0
05 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
33
1
0
01 Jun 2024
Cognitive Evolutionary Learning to Select Feature Interactions for
  Recommender Systems
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
Runlong Yu
Qixiang Shao
Qi Liu
Huan Liu
Enhong Chen
25
0
0
29 May 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Jeonghwan Cheon
Sang Wan Lee
Se-Bum Paik
OOD
141
1
0
27 May 2024
On Understanding Attention-Based In-Context Learning for Categorical Data
On Understanding Attention-Based In-Context Learning for Categorical Data
Aaron T. Wang
William Convertino
Xiang Cheng
Ricardo Henao
Lawrence Carin
49
0
0
27 May 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
54
0
0
25 May 2024
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot
  Molecular Property Prediction
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Zeyu Wang
Tianyi Jiang
Yao Lu
Xiaoze Bao
Shanqing Yu
Bin Wei
Qi Xuan
32
1
0
24 May 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific
  Learning Rate
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan Luo
Zuolin Tu
Zefang Huang
Yang Yu
OffRL
32
0
0
24 May 2024
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via
  Selective Tensor Freezing
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
Kai Huang
Wei Gao
32
2
0
24 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
73
3
0
24 May 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision
  and Text
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
VLM
27
1
0
21 May 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting
Learning Spatial Similarity Distribution for Few-shot Object Counting
Yuanwu Xu
Feifan Song
Haofeng Zhang
36
3
0
20 May 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved
  In-Context Learning
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
Sanchit Sinha
Yuguang Yue
Victor Soto
Mayank Kulkarni
Jianhua Lu
Aidong Zhang
LRM
34
4
0
19 May 2024
Beyond Traditional Single Object Tracking: A Survey
Beyond Traditional Single Object Tracking: A Survey
Omar Abdelaziz
Mohamed Shehata
Mohamed Mohamed
35
0
0
16 May 2024
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and
  Hessian-free Solution Strategy
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
Risheng Liu
Zhu Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
35
6
0
16 May 2024
MAML MOT: Multiple Object Tracking based on Meta-Learning
MAML MOT: Multiple Object Tracking based on Meta-Learning
Jiayi Chen
Chunhua Deng
VOT
27
0
0
12 May 2024
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote
  Physiological Measurement
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement
Jiyao Wang
Hao Lu
Ange Wang
Xiao Yang
Ying Chen
Dengbo He
Kaishun Wu
21
3
0
10 May 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline
  Reinforcement Learning
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen
Chenjia Bai
Kang Xu
Xudong Yu
Yang Zhang
Xuelong Li
Zhen Wang
34
2
0
10 May 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Xinwei Zhang
Aishan Liu
Tianyuan Zhang
Siyuan Liang
Xianglong Liu
AAML
47
10
0
09 May 2024
Implicit Neural Representations for Robust Joint Sparse-View CT
  Reconstruction
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
Jiayang Shi
Junyi Zhu
D. Pelt
K. Batenburg
Matthew B. Blaschko
35
3
0
03 May 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
49
4
0
03 May 2024
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object
  Detection in Remote Sensing Images
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images
Wenbin Guan
Zijiu Yang
Xiaohong Wu
Liqiong Chen
Feng Huang
Xiaohai He
Honggang Chen
36
2
0
29 Apr 2024
Shared learning of powertrain control policies for vehicle fleets
Shared learning of powertrain control policies for vehicle fleets
Lindsey Kerbel
B. Ayalew
Andrej Ivanco
27
0
0
27 Apr 2024
Meta In-Context Learning Makes Large Language Models Better Zero and
  Few-Shot Relation Extractors
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Guozheng Li
Peng Wang
Jiajun Liu
Yikai Guo
Ke Ji
Ziyu Shang
Zijie Xu
LRM
33
7
0
27 Apr 2024
Personalized Federated Learning via Sequential Layer Expansion in
  Representation Learning
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
Jaewon Jang
Bonjun Choi
FedML
47
0
0
27 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer
  Learning for Skin Disease Classification in Long-Tail Distribution
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir
H. Keles
Ö. Ö. Tanriöver
33
0
0
25 Apr 2024
Towards Multi-Morphology Controllers with Diversity and Knowledge
  Distillation
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation
Alican Mertan
Nick Cheney
32
0
0
22 Apr 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
41
1
0
18 Apr 2024
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via
  Meta-Training and In-context Learning with Large Language Model
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
Zita Lifelo
Huansheng Ning
Sahraoui Dhelim
AI4MH
38
0
0
13 Apr 2024
Navigating the Landscape of Large Language Models: A Comprehensive
  Review and Analysis of Paradigms and Fine-Tuning Strategies
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
Benjue Weng
LM&MA
35
7
0
13 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
Flatness Improves Backbone Generalisation in Few-shot Classification
Rui Li
Martin Trapp
Marcus Klasson
Arno Solin
43
0
0
11 Apr 2024
SGSH: Stimulate Large Language Models with Skeleton Heuristics for
  Knowledge Base Question Generation
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
Shasha Guo
Lizi Liao
Jing Zhang
Yanling Wang
Cuiping Li
Hong Chen
34
5
0
02 Apr 2024
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point
  Cloud Classification
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification
S. Ghose
Yang Wang
3DPC
27
0
0
01 Apr 2024
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Qi Liu
Zhuang Yan
Haoyang Bi
Zhenya Huang
Weizhe Huang
...
Z. Pardos
Haiping Ma
Mengxiao Zhu
Shijin Wang
Enhong Chen
AI4Ed
34
9
0
31 Mar 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation
A Moreau Envelope Approach for LQR Meta-Policy Estimation
Ashwin Aravind
Taha Toghani
César A. Uribe
32
1
0
26 Mar 2024
Advancing Extrapolative Predictions of Material Properties through
  Learning to Learn
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Kohei Noda
Araki Wakiuchi
Yoshihiro Hayashi
Ryo Yoshida
AI4CE
38
0
0
25 Mar 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented
  Device-Informed Data Simulation
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
Jiyi Chen
Pengyu Li
Yutong Wang
Pei-Cheng Ku
Qing Qu
25
3
0
19 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
34
0
0
18 Mar 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based
  on Meta Learning
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
Ruiyi Zhang
Rushi Qiang
Sai Ashish Somayajula
Pengtao Xie
27
13
0
14 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Yuhu Bai
Jiangning Zhang
Yuhang Dong
Guanzhong Tian
Liang Liu
Yunkang Cao
Yabiao Wang
Chengjie Wang
34
2
0
07 Mar 2024
Previous
12345...303132
Next