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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
v1v2v3 (latest)

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

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
ArXiv (abs)PDFHTML

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

50 / 5,503 papers shown
Title
RankDNN: Learning to Rank for Few-shot Learning
RankDNN: Learning to Rank for Few-shot Learning
Qianyu Guo
Hongtong Gong
Xu Wei
Yanwei Fu
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
118
17
0
28 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Xiaoyue Duan
Guoliang Kang
Runqi Wang
Shumin Han
Shenjun Xue
Tian Wang
Baochang Zhang
72
2
0
28 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot
  Category Generalization
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Stefan Stojanov
Anh Thai
Zixuan Huang
James M. Rehg
101
2
0
28 Nov 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of
  Foundation Models
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models
Peter Henderson
E. Mitchell
Christopher D. Manning
Dan Jurafsky
Chelsea Finn
94
54
0
27 Nov 2022
Machine Learning for Smart and Energy-Efficient Buildings
Machine Learning for Smart and Energy-Efficient Buildings
Hari Prasanna Das
Yu-Wen Lin
Utkarsha Agwan
Lucas Spangher
Alex Devonport
Yu Yang
Ján Drgoňa
A. Chong
S. Schiavon
C. Spanos
HAIAI4CE
99
22
0
27 Nov 2022
Deep Active Learning for Computer Vision: Past and Future
Deep Active Learning for Computer Vision: Past and Future
Rinyoichi Takezoe
Xu Liu
Shunan Mao
Marco Tianyu Chen
Zhanpeng Feng
Shiliang Zhang
Xiaoyu Wang
VLM
94
22
0
27 Nov 2022
Breaking Immutable: Information-Coupled Prototype Elaboration for
  Few-Shot Object Detection
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Xiaonan Lu
Wenhui Diao
Yongqiang Mao
Junxi Li
Peijin Wang
Xian Sun
Kun Fu
ObjD
100
36
0
27 Nov 2022
Generalizing Gaussian Smoothing for Random Search
Generalizing Gaussian Smoothing for Random Search
Katelyn Gao
Ozan Sener
85
14
0
27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
142
2
0
26 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and
  Identifiability in Multi-Task Learning
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
Sébastien Lachapelle
T. Deleu
Divyat Mahajan
Ioannis Mitliagkas
Yoshua Bengio
Simon Lacoste-Julien
Quentin Bertrand
78
34
0
26 Nov 2022
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
Sina Hajimiri
Malik Boudiaf
Ismail Ben Ayed
Jose Dolz
VLM
84
29
0
25 Nov 2022
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight
  Learning for Cross-User Wearable Human Activity Recognition
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition
Rong Hu
Ling Chen
Shenghuan Miao
Xing Tang
96
30
0
25 Nov 2022
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
56
5
0
23 Nov 2022
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot
  Trajectory Planning
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning
Yuhan Zhao
Quanyan Zhu
68
8
0
23 Nov 2022
Learning to Rasterize Differentiably
Learning to Rasterize Differentiably
Chenghao Wu
Hamila Mailee
Zahra Montazeri
Tobias Ritschel
51
1
0
23 Nov 2022
Generalizable Implicit Neural Representations via Instance Pattern
  Composers
Generalizable Implicit Neural Representations via Instance Pattern Composers
Chiheon Kim
Doyup Lee
Saehoon Kim
Minsu Cho
Wook-Shin Han
AI4CE
86
25
0
23 Nov 2022
Integral Continual Learning Along the Tangent Vector Field of Tasks
Integral Continual Learning Along the Tangent Vector Field of Tasks
Tianlin Liu
Aditya Golatkar
Stefano Soatto
Alessandro Achille
CLL
60
3
0
23 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning
  Few-Shot Meta-Learners
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
E. T. Oldewage
J. Bronskill
Richard Turner
61
3
0
23 Nov 2022
Prototypical context-aware dynamics generalization for high-dimensional
  model-based reinforcement learning
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning
Junjie Wang
Yao Mu
Dong Li
Qichao Zhang
Dongbin Zhao
Yuzheng Zhuang
Ping Luo
Bin Wang
Jianye Hao
OffRL
76
3
0
23 Nov 2022
HyperTuning: Toward Adapting Large Language Models without
  Back-propagation
HyperTuning: Toward Adapting Large Language Models without Back-propagation
Jason Phang
Yi Mao
Pengcheng He
Weizhu Chen
96
34
0
22 Nov 2022
Adaptive Prototypical Networks
Adaptive Prototypical Networks
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
72
2
0
22 Nov 2022
Neural Meta-Symbolic Reasoning and Learning
Neural Meta-Symbolic Reasoning and Learning
Zihan Ye
Hikaru Shindo
Devendra Singh Dhami
Kristian Kersting
NAILRM
74
2
0
21 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future
Intelligent Computing: The Latest Advances, Challenges and Future
Shiqiang Zhu
Ting Yu
Tao Xu
Hongyang Chen
Schahram Dustdar
...
Tariq S. Durrani
Huaimin Wang
Jiangxing Wu
Tongyi Zhang
Yunhe Pan
AI4CE
87
130
0
21 Nov 2022
Efficient Meta Reinforcement Learning for Preference-based Fast
  Adaptation
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
Zhizhou Ren
Hoang Trung-Dung
Yitao Liang
Jian-wei Peng
Jianzhu Ma
58
9
0
20 Nov 2022
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer
  Value Function
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet
Laurence Midgley
Alexandre Laterre
111
0
0
19 Nov 2022
Task Residual for Tuning Vision-Language Models
Task Residual for Tuning Vision-Language Models
Tao Yu
Zhihe Lu
Xin Jin
Zhibo Chen
Xinchao Wang
VLMCLIP
102
92
0
18 Nov 2022
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation
Youssef Dawoud
Arij Bouazizi
Katharina Ernst
G. Carneiro
Vasileios Belagiannis
30
6
0
18 Nov 2022
Challenges in creative generative models for music: a divergence
  maximization perspective
Challenges in creative generative models for music: a divergence maximization perspective
Axel Chemla-Romeu-Santos
P. Esling
83
4
0
16 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
Giving Feedback on Interactive Student Programs with Meta-Exploration
Emmy Liu
Moritz Stephan
Allen Nie
Chris Piech
Emma Brunskill
Chelsea Finn
AI4Ed
109
7
0
16 Nov 2022
Interclass Prototype Relation for Few-Shot Segmentation
Interclass Prototype Relation for Few-Shot Segmentation
A. Okazawa
SSegVLM
66
39
0
16 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via
  Self-Supervised Hierarchical Task Clustering
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Juan Zha
Zheng Li
Ying Wei
Yu Zhang
90
5
0
16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection
Interpretable Few-shot Learning with Online Attribute Selection
M. Zarei
Majid Komeili
FAtt
109
3
0
16 Nov 2022
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
Nikola Djukic
A. Lukežič
Vitjan Zavrtanik
Matej Kristan
89
50
0
15 Nov 2022
Cross-Reality Re-Rendering: Manipulating between Digital and Physical
  Realities
Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities
Siddhartha Datta
85
0
0
15 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data
  Bottleneck
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
Chen Shani
Jonathan Zarecki
Dafna Shahaf
41
6
0
15 Nov 2022
Personalized Federated Learning with Multi-branch Architecture
Personalized Federated Learning with Multi-branch Architecture
Junki Mori
T. Yoshiyama
Ryo Furukawa
Isamu Teranishi
FedML
103
2
0
15 Nov 2022
Using Human Perception to Regularize Transfer Learning
Using Human Perception to Regularize Transfer Learning
Justin Dulay
Walter J. Scheirer
68
8
0
15 Nov 2022
Meta-Learning of Neural State-Space Models Using Data From Similar
  Systems
Meta-Learning of Neural State-Space Models Using Data From Similar Systems
Ankush Chakrabarty
Gordon Wichern
C. Laughman
86
12
0
14 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior:
  From Theory to Practice
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
Jonas Rothfuss
Martin Josifoski
Vincent Fortuin
Andreas Krause
124
10
0
14 Nov 2022
Towards Generalization on Real Domain for Single Image Dehazing via
  Meta-Learning
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning
Wenqi Ren
Qiyu Sun
Chaoqiang Zhao
Yang Tang
69
3
0
14 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Deunsol Jung
Dahyun Kang
Suha Kwak
Minsu Cho
CLL
77
8
0
14 Nov 2022
Alternating Implicit Projected SGD and Its Efficient Variants for
  Equality-constrained Bilevel Optimization
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
Quan-Wu Xiao
Han Shen
W. Yin
Tianyi Chen
87
8
0
14 Nov 2022
TorchOpt: An Efficient Library for Differentiable Optimization
TorchOpt: An Efficient Library for Differentiable Optimization
Jie Ren
Xidong Feng
Bo Liu
Xuehai Pan
Yao Fu
Kai Zou
Yaodong Yang
68
12
0
13 Nov 2022
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An
  Overview
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
Wenqi Ren
Yang Tang
Qiyu Sun
Chaoqiang Zhao
Qing‐Long Han
VLM
72
43
0
13 Nov 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
Yiwen Qiu
Jialong Wu
Zhangjie Cao
Mingsheng Long
59
4
0
13 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
87
13
0
13 Nov 2022
Few-Shot Learning for Biometric Verification
Few-Shot Learning for Biometric Verification
S. Ahmed
Umaid M. Zaffar
M. Aslam
M. I. Malik
68
0
0
12 Nov 2022
Cross-Platform and Cross-Domain Abusive Language Detection with
  Supervised Contrastive Learning
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning
Md. Tawkat Islam Khondaker
Muhammad Abdul-Mageed
L. Lakshmanan
37
1
0
11 Nov 2022
Hardness-guided domain adaptation to recognise biomedical named entities
  under low-resource scenarios
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
Ngoc Dang Nguyen
Lan Du
Wray Buntine
Changyou Chen
Richard Beare
74
8
0
11 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
91
9
0
10 Nov 2022
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