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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
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training Kecheng Zhang Shuai Liu Jun Yu Han Jiang Jianping Fan Qing-An Huang Weidong Han MedIm 78 33 0 13 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 98 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 35 0 0 13 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales 103 5 0 12 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 70 5 0 12 May 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition Xinyu Gong S. Mohan Naina Dhingra Jean-Charles Bazin Yilei Li Zhangyang Wang Rakesh Ranjan EgoV 127 19 0 12 May 2023
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation Ziyuan Zhao Fangcheng Zhou Zeng Zeng Cuntai Guan S. Kevin Zhou 114 9 0 11 May 2023
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation Hugo Oliveira P. H. T. Gama Isabelle Bloch R. M. C. Junior 62 10 0 11 May 2023
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning Jean Vassoyan Jill-Jênn Vie Pirmin Lemberger GNN 30 3 0 10 May 2023
RECKONING: Reasoning through Dynamic Knowledge Encoding Zeming Chen Gail Weiss E. Mitchell Asli Celikyilmaz Antoine Bosselut KELM LRM 106 13 0 10 May 2023
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming Batool Salehi Utku Demir Debashri Roy Suyasha Pradhan Jennifer Dy Stratis Ioannidis Kaushik R. Chowdhury 66 11 0 10 May 2023
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization Huabin Liu W. Lin Tieyuan Chen Yuxi Li Shuyuan Li John See 74 6 0 10 May 2023
Few-shot Link Prediction on N-ary Facts Jiyao Wei Saiping Guan Xiaolong Jin Jiafeng Guo Xueqi Cheng 82 0 0 10 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 139 14 0 10 May 2023
Best-Effort Adaptation Pranjal Awasthi Corinna Cortes M. Mohri 91 8 0 10 May 2023
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks Roshan Dhakal Md Ridwan Hossain Talukder Gregory J. Stein 55 3 0 08 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 71 10 0 08 May 2023
Learning Generalizable Pivoting Skills Xiang Zhang Siddarth Jain Baichuan Huang Masayoshi Tomizuka Diego Romeres 96 14 0 04 May 2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI S. He Congcong Liu Chentao Cao Yuanyuan Liu Yaxiong Lei Qingyong Zhu Yanjie Zhu Haifeng Wang Dong Liang MedIm DiffM 107 2 0 04 May 2023
Black-box Prompt Tuning with Subspace Learning Yuanhang Zheng Zhixing Tan Peng Li Yang Liu VLM 147 11 0 04 May 2023
Plug-and-Play Multilingual Few-shot Spoken Words Recognition Aaqib Saeed Vasileios Tsouvalas 66 0 0 03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 80 13 0 03 May 2023
DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents Furkan Simsek Brian Pfitzmann Hendrik Raetz Jona Otholt Haojin Yang Christoph Meinel 27 2 0 03 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 151 1 0 03 May 2023
Accelerating Neural Self-Improvement via Bootstrapping Kazuki Irie Jürgen Schmidhuber 70 1 0 02 May 2023
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform Kyungchul Park Hyun-Kyo Chung 51 0 0 02 May 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence Xuemin Hu Shen Li Ting Huang Bo Tang Rouxing Huai Long Chen 88 73 0 02 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 70 6 0 30 Apr 2023
META-SMGO- $Δ$ : similarity as a prior in black-box optimization Riccardo Busetto Valentina Breschi Simone Formentin 83 0 0 30 Apr 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning Mingyang Wang Zhenshan Bing Xiangtong Yao Shuai Wang Hang Su Chenguang Yang Kai Huang Alois C. Knoll SSL OOD 132 17 0 29 Apr 2023
Analogy-Forming Transformers for Few-Shot 3D Parsing N. Gkanatsios M. Singh Zhaoyuan Fang Shubham Tulsiani Katerina Fragkiadaki 3DPC 3DV 74 2 0 27 Apr 2023
On the Generalization Error of Meta Learning for the Gibbs Algorithm Yuheng Bu Harsha Vardhan Tetali Gholamali Aminian Miguel R. D. Rodrigues G. Wornell AI4CE 94 3 0 27 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kai Zhang Pulkit Agrawal 100 16 0 27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 81 6 0 27 Apr 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 117 20 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 82 12 0 26 Apr 2023
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 67 9 0 25 Apr 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning Zhongzhi Yu Shang Wu Y. Fu Shunyao Zhang Yingyan Lin 86 6 0 25 Apr 2023
Context-enriched molecule representations improve few-shot drug discovery Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter Günter Klambauer 91 28 0 24 Apr 2023
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics Kuo-Hao Zeng Luca Weihs Roozbeh Mottaghi Ali Farhadi 77 3 0 24 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 111 12 0 24 Apr 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 93 1 0 24 Apr 2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer Hao Tang Songhua Liu Tianwei Lin Shaoli Huang Fu Li Dongliang He Xinchao Wang 94 11 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 64 1 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 111 41 0 23 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 90 1 0 21 Apr 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning Sang-Hoon Lee Seunghyun Lee B. Song 87 0 0 21 Apr 2023
Can SAM Count Anything? An Empirical Study on SAM Counting Zhiheng Ma Xiaopeng Hong Qinnan Shangguan VLM 132 19 0 21 Apr 2023
Debiasing Conditional Stochastic Optimization Lie He S. Kasiviswanathan CML BDL 120 4 0 20 Apr 2023
Clustered-patch Element Connection for Few-shot Learning Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiao Chen Jun Liu Bin-Bin Gao Chengjie Wang 65 8 0 20 Apr 2023