Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1703.03400
Cited By
v1
v2
v3 (latest)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
50 / 5,503 papers shown
Title
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Xiaobo Zhu
Yan Wu
Qin-Hu Zhang
Zhanheng Chen
Ying He
AI4CE
75
2
0
15 Oct 2023
A Partially Supervised Reinforcement Learning Framework for Visual Active Search
Anindya Sarkar
Nathan Jacobs
Yevgeniy Vorobeychik
85
6
0
15 Oct 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
Woojin Cho
Kookjin Lee
Donsub Rim
Noseong Park
AI4CE
PINN
94
20
0
14 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification
Qianyu Guo
Huifang Du
Xing Jia
Shuyong Gao
Yan Teng
Haofen Wang
Wenqiang Zhang
MedIm
VLM
77
0
0
14 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Mingjia Shi
Yuhao Zhou
Kai Wang
Huaizheng Zhang
Shudong Huang
Qing Ye
Jiangcheng Lv
75
11
0
13 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning
Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
73
2
0
13 Oct 2023
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding
Jixuan Cui
Jun Li
Zhen Mei
Kang Wei
Sha Wei
Ming Ding
Wen Chen
Song Guo
FedML
50
7
0
13 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
82
5
0
13 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Licong Lin
Yu Bai
Song Mei
OffRL
95
53
0
12 Oct 2023
X-Pose: Detecting Any Keypoints
Jie Yang
Ailing Zeng
Ruimao Zhang
Lei Zhang
93
7
0
12 Oct 2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
Lapo Frati
Neil Traft
Jeff Clune
Nick Cheney
CLL
79
1
0
12 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
Mateusz Michalkiewicz
M. Faraki
Xiang Yu
Manmohan Chandraker
Mahsa Baktash
53
4
0
11 Oct 2023
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Zihan Zhang
Meng Fang
Lingxi Chen
Mohammad-Reza Namazi-Rad
Jun Wang
KELM
96
24
0
11 Oct 2023
Multi-task Explainable Skin Lesion Classification
Mahapara Khurshid
Mayank Vatsa
Richa Singh
58
1
0
11 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
135
57
0
10 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
93
12
0
10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
Mike Huisman
Aske Plaat
Jan N. van Rijn
MLT
85
9
0
09 Oct 2023
A Meta-Learning Perspective on Transformers for Causal Language Modeling
Xinbo Wu
Lav Varshney
80
7
0
09 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen
Junyin Ye
Hang Zhao
Yi-Chen Li
Haoran Shi
...
Si-Hang Yang
Anqi Huang
Kai Xu
Zongzhang Zhang
Yang Yu
73
0
0
09 Oct 2023
Making Scalable Meta Learning Practical
Sang Keun Choe
Sanket Vaibhav Mehta
Hwijeen Ahn
Willie Neiswanger
Pengtao Xie
Emma Strubell
Eric Xing
115
16
0
09 Oct 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
Feiyi Chen
Zhen Qin
Yingying Zhang
Shuiguang Deng
Lunting Fan
Guansong Pang
Qingsong Wen
AI4TS
82
7
0
09 Oct 2023
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee
Chiheon Kim
Minsu Cho
Wook-Shin Han
87
12
0
09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
143
10
0
08 Oct 2023
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
Hao Zhang
Lumin Xu
Shenqi Lai
Wenqi Shao
Nanning Zheng
Ping Luo
Yu Qiao
Kaipeng Zhang
ObjD
VLM
108
11
0
08 Oct 2023
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation
Yuqi Xiang
Feitong Chen
Qinsi Wang
Yang Gang
Xiang Zhang
Xinghao Zhu
Xingyu Liu
Lin Shao
73
1
0
07 Oct 2023
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT
Chen Jiao
Fengjian Mao
Lv Zuohong
Jianhua Tang
54
8
0
07 Oct 2023
PatchProto Networks for Few-shot Visual Anomaly Classification
Jian Wang
Yue Zhuo
55
0
0
07 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Hui Xiong
VLM
ViT
138
2
0
05 Oct 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
Matthew Jackson
Minqi Jiang
Jack Parker-Holder
Risto Vuorio
Chris Xiaoxuan Lu
Gregory Farquhar
Shimon Whiteson
Jakob N. Foerster
OOD
64
9
0
04 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
Junhoo Lee
Jayeon Yoo
Nojun Kwak
68
2
0
04 Oct 2023
Federated Conditional Stochastic Optimization
Xidong Wu
Jianhui Sun
Zhengmian Hu
Junyi Li
Aidong Zhang
Heng-Chiao Huang
FedML
155
4
0
04 Oct 2023
FedL2P: Federated Learning to Personalize
Royson Lee
Minyoung Kim
Da Li
Xinchi Qiu
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
FedML
67
0
0
03 Oct 2023
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
Finn Rietz
Erik Schaffernicht
Stefan Heinrich
J. A. Stork
73
1
0
03 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
145
12
0
03 Oct 2023
Robot Fleet Learning via Policy Merging
Lirui Wang
Kaiqing Zhang
Allan Zhou
Max Simchowitz
Russ Tedrake
126
5
0
02 Oct 2023
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
104
3
0
02 Oct 2023
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
Matthias Lindemann
Alexander Koller
Ivan Titov
AI4CE
70
5
0
01 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Qi Wang
Yiqin Lv
Yanghe Feng
Zheng Xie
Jincai Huang
80
9
0
01 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks
Teng Xiao
Zhengyu Chen
Donglin Wang
Suhang Wang
GNN
96
80
0
01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Shiguang Wu
Yaqing Wang
Quanming Yao
56
4
0
01 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control
Pei Xu
Kaixiang Xie
Sheldon Andrews
P. Kry
Michael Neff
Morgan McGuire
Ioannis Karamouzas
Victor Zordan
TTA
119
19
0
30 Sep 2023
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
Carlos Rombaldo Junior
Ingolf Becker
Zongyu Guo
Shane Johnson
76
12
0
29 Sep 2023
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis
Marcel C. Bühler
Kripasindhu Sarkar
Tanmay Shah
Gengyan Li
Daoye Wang
...
Sergio Orts
Dmitry Lagun
Otmar Hilliges
Thabo Beeler
Abhimitra Meka
CVBM
3DH
86
20
0
28 Sep 2023
Towards Poisoning Fair Representations
Tianci Liu
Haoyu Wang
Feijie Wu
Hengtong Zhang
Pan Li
Lu Su
Jing Gao
AAML
83
2
0
28 Sep 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
Vaibhav Ganatra
70
3
0
28 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
101
2
0
28 Sep 2023
Multi-unit soft sensing permits few-shot learning
B. Grimstad
Fadhil G. Al-Amran
Maitham G. Yousif
92
1
0
27 Sep 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
Teresa Yeo
Oğuzhan Fatih Kar
Zahra Sodagar
Amir Zamir
TTA
OOD
74
4
0
27 Sep 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python
Heinrich Peters
Michael Parrott
46
0
0
27 Sep 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
100
10
0
26 Sep 2023
Previous
1
2
3
...
23
24
25
...
109
110
111
Next