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
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 26 31 0 02 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska Xiantong Zhen M. Worring VLM 26 18 0 28 Feb 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Xia Hu AI4TS 31 2 0 28 Feb 2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding Jordan S. Cotler Kai Sheng Tai Felipe Hernández Blake Elias David Sussillo 22 4 0 27 Feb 2023
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement Weiming Qu Tianlin Liu D. Luo 23 2 0 26 Feb 2023
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption Yejia Liu Shijin Duan Xiaolin Xu Shaolei Ren 40 4 0 23 Feb 2023
Inequity aversion reduces travel time in the traffic light control problem Mersad Hassanjani Farinaz Alamiyan Harandi Pouria Ramazi 19 0 0 23 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 62 9 0 23 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 39 26 0 22 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 44 7 0 22 Feb 2023
Mask-guided BERT for Few Shot Text Classification Wenxiong Liao Zheng Liu Haixing Dai Zihao Wu Yiyang Zhang ... Dajiang Zhu Tianming Liu Sheng Li Xiang Li Hongmin Cai VLM 49 39 0 21 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 48 2 0 20 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 33 20 0 20 Feb 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 37 6 0 20 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 40 6 0 20 Feb 2023
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition Xiangyu Zhou Qian-ru Wei Yuhui Zhang 27 0 0 19 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 28 27 0 17 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 31 32 0 16 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq Joty VLM LRM 28 15 0 16 Feb 2023
A Meta-Learning Approach to Population-Based Modelling of Structures G. Tsialiamanis N. Dervilis D. Wagg K. Worden 18 0 0 15 Feb 2023
Meta-Reinforcement Learning via Exploratory Task Clustering Zhendong Chu Hongning Wang OffRL 36 5 0 15 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition Chengcheng Han Renyu Zhu Jun Kuang Feng-Xiang Chen Xiang Li Ming Gao Xuezhi Cao Wei Wu 36 5 0 14 Feb 2023
Robust Representation Learning with Self-Distillation for Domain Generalization Ankur Singh Senthilnath Jayavelu ViT OOD 18 2 0 14 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 36 42 0 13 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 44 7 0 12 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai Minhua Lin Xiang Zhang Suhang Wang AAML 29 47 0 11 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 71 10 0 11 Feb 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network Mingjie Wang Yande Li Jun Zhou Graham W. Taylor Minglun Gong 23 11 0 10 Feb 2023
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy Cheolhyoung Lee Kyunghyun Cho 28 0 0 08 Feb 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 32 16 0 08 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 36 0 0 08 Feb 2023
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction Christopher Fifty Joseph M. Paggi Ehsan Amid J. Leskovec R. Dror AI4CE 25 0 0 04 Feb 2023
The Construction of Reality in an AI: A Review J. W. Johnston 3DV 23 1 0 03 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 36 20 0 03 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network Xingping Dong Jianbing Shen Fatih Porikli Jiebo Luo Ling Shao 37 30 0 02 Feb 2023
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning Yuwei Xia Mengqi Zhang Qiang Liu Shu Wu Xiaoyu Zhang 32 11 0 02 Feb 2023
Learning Functional Transduction Mathieu Chalvidal Thomas Serre Rufin VanRullen AI4CE 50 2 0 01 Feb 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability Jonathan Lee Alekh Agarwal Christoph Dann Tong Zhang 34 20 0 31 Jan 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 38 5 0 30 Jan 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 35 6 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 37 14 0 28 Jan 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning Cheng Ji Jianxin Li Hao Peng Jia Wu Xingcheng Fu Qingyun Sun Phillip S. Yu SSL CLL 34 5 0 28 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 30 18 0 27 Jan 2023
Projected Subnetworks Scale Adaptation Siddhartha Datta N. Shadbolt VLM CLL 28 0 0 27 Jan 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 26 6 0 26 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 19 1 0 26 Jan 2023
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 40 0 0 26 Jan 2023