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

9 March 2017

Pieter Abbeel

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

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Title
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 32 2 0 30 May 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification Linhao Qu X. Luo Kexue Fu Manning Wang Zhijian Song 46 22 0 29 May 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans Zi Chen Jiazheng Li Jie Zhao Yiting Liu Hongfeng Li Bin Dong Lei Tang Li Zhang 25 1 0 29 May 2023
Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information Jinda Cui Jiawei Xu David Saldaña J. Trinkle 21 2 0 29 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 55 7 0 28 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 26 14 0 27 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 42 2 0 27 May 2023
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks Jacob D. Abernethy Alekh Agarwal T. V. Marinov Manfred K. Warmuth 39 19 0 26 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 31 21 0 26 May 2023
A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion Risheng Liu Zhu Liu Jinyuan Liu Xin-Yue Fan Zhongxuan Luo 43 37 0 25 May 2023
Improving Convergence and Generalization Using Parameter Symmetries Bo Zhao Robert Mansel Gower Robin Walters Rose Yu MoMe 38 13 0 22 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 25 1 0 22 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 21 11 0 21 May 2023
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search Mozhi Zhang Hang Yan Yaqian Zhou Xipeng Qiu 34 10 0 20 May 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 37 2 0 20 May 2023
Self-Distillation with Meta Learning for Knowledge Graph Completion Yunshui Li Junhao Liu Chengming Li Min Yang 29 5 0 20 May 2023
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 28 0 0 20 May 2023
ALT: An Automatic System for Long Tail Scenario Modeling Ya-Lin Zhang Jun Zhou Yankun Ren Yue Zhang Xinxing Yang Meng Li Qitao Shi Longfei Li 28 0 0 19 May 2023
Meta-Auxiliary Network for 3D GAN Inversion Bangrui Jiang Zhenhua Guo Yujiu Yang 27 3 0 18 May 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks Wenfang Sun Yingjun Du Xiantong Zhen Fan Wang Lingling Wang Cees G. M. Snoek 19 3 0 17 May 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 43 7 0 17 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 34 14 0 16 May 2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli James Harrison Kaidi Yang Marco Pavone Filipe Rodrigues Francisco Câmara Pereira AI4CE 46 6 0 16 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 25 2 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 35 4 0 13 May 2023
Learning to Learn Unlearned Feature for Brain Tumor Segmentation Sungyeob Han Yeon-Jae Kim Seokhyeon Ha Jungwook Lee S. Choi 20 0 0 13 May 2023
Learning Generalizable Pivoting Skills Xiang Zhang Siddarth Jain Baichuan Huang Masayoshi Tomizuka Diego Romeres 42 14 0 04 May 2023
Black-box Prompt Tuning with Subspace Learning Yuanhang Zheng Zhixing Tan Peng Li Yang Liu VLM 66 9 0 04 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 82 1 0 03 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 28 10 0 26 Apr 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 34 1 0 24 Apr 2023
Efficient Robot Skill Learning with Imitation from a Single Video for Contact-Rich Fabric Manipulation Shengzeng Huo Anqing Duan Lijun Han Luyin Hu Hesheng Wang D. Navarro-Alarcon 29 1 0 24 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Shitian Zhao Ruotong Wang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 30 7 0 16 Apr 2023
CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval Yang Yang Zhongtian Fu Xiangyu Wu Wenjie Li VLM 21 1 0 15 Apr 2023
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders Qingsen Yan Song Zhang Weiye Chen Hao Tang Yu Zhu Jinqiu Sun Luc Van Gool Yanning Zhang 32 14 0 14 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 35 1 0 13 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 33 6 0 13 Apr 2023
Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning Arun Palla Sriprabha Ramanarayanan Keerthi Ram M. Sivaprakasam MedIm 27 0 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 0 0 13 Apr 2023
Noisy Correspondence Learning with Meta Similarity Correction Haocheng Han Kaiyao Miao Qinghua Zheng Minnan Luo 32 28 0 13 Apr 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 39 8 0 12 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification Han Yang Weijian Huang Jiarun Liu Cheng Li Shanshan Wang CLL 37 4 0 12 Apr 2023
Density Map Distillation for Incremental Object Counting Chenshen Wu Joost van de Weijer 32 2 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 72 142 0 11 Apr 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization Xunzhao Yu Yan Wang Ling Zhu Dimitar Filev Xin Yao 17 2 0 09 Apr 2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality Davide Scaramuzza Elia Kaufmann 42 3 0 09 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Zifeng Wang Cao Xiao Jimeng Sun 31 17 0 07 Apr 2023