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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
Learning and Adapting Agile Locomotion Skills by Transferring Experience Laura M. Smith J. Kew Tianyu Li Linda Luu Xue Bin Peng Sehoon Ha Jie Tan Sergey Levine 103 56 0 19 Apr 2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models Tianhao Li Sandesh Shetty Advaith Kamath A. Jaiswal Xian-Wei Jiang Ying Ding Yejin Kim LM&MA 53 24 0 18 Apr 2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation Mengdi Xu Yuchen Lu Songlin Yang Shun Zhang Ding Zhao Chuang Gan OffRL 73 41 0 17 Apr 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran Xin Ning Prayag Tiwari CLL 104 111 0 17 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 94 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 63 1 0 15 Apr 2023
The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation Thanh-Tung Phan-Nguyen Anh-Khoa Nguyen Vu Nhat-Duy Nguyen Vinh-Tiep Nguyen T. Ngo Thanh-Toan Do M. Tran Tam V. Nguyen 93 5 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 122 14 0 14 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 59 1 0 13 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 66 8 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 99 0 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 90 0 0 13 Apr 2023
Noisy Correspondence Learning with Meta Similarity Correction Haocheng Han Kaiyao Miao Qinghua Zheng Minnan Luo 101 30 0 13 Apr 2023
UniverSeg: Universal Medical Image Segmentation V. Butoi Jose Javier Gonzalez Ortiz Tianyu Ma M. Sabuncu John Guttag Adrian Dalca 92 87 0 12 Apr 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 81 9 0 12 Apr 2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP Mainak Singha Ankit Jha Bhupendra S. Solanki Shirsha Bose Biplab Banerjee VLM 107 27 0 12 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 99 27 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 66 4 0 12 Apr 2023
Semantic-Aware Mixup for Domain Generalization C. Xu Xinmei Tian AAML 45 2 0 12 Apr 2023
Density Map Distillation for Incremental Object Counting Chenshen Wu Joost van de Weijer 65 2 0 11 Apr 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 81 19 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 184 163 0 11 Apr 2023
Simulated Annealing in Early Layers Leads to Better Generalization Amirm. Sarfi Zahra Karimpour Muawiz Chaudhary N. Khalid Mirco Ravanelli Sudhir Mudur Eugene Belilovsky AI4CE CLL 77 9 0 10 Apr 2023
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning Arundhati Banerjee Soham R. Phade Stefano Ermon Stephan Zheng OffRL 60 1 0 10 Apr 2023
Improved Test-Time Adaptation for Domain Generalization Liang Chen Yong Zhang Yibing Song Ying Shan Lingqiao Liu TTA OOD 97 51 0 10 Apr 2023
Meta Compositional Referring Expression Segmentation Li Xu Mark He Huang Xindi Shang Zehuan Yuan Ying Sun Jun Liu 99 23 0 10 Apr 2023
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning Peizhong Ju Yitao Liang Ness B. Shroff MLT AI4CE 62 3 0 09 Apr 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization Xunzhao Yu Yan Wang Ling Zhu Dimitar Filev Xin Yao 66 2 0 09 Apr 2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality Davide Scaramuzza Elia Kaufmann 116 3 0 09 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 69 0 0 08 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Zifeng Wang Cao Xiao Jimeng Sun 79 19 0 07 Apr 2023
A physics-informed neural network framework for modeling obstacle-related equations Hamid EL Bahja J. C. Hauffen P. Jung B. Bah Issa Karambal PINN AI4CE 81 5 0 07 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection Changsheng Lu Hao Zhu Piotr Koniusz 77 11 0 06 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 78 1 0 06 Apr 2023
Learning to Recover Spectral Reflectance from RGB Images Dong Huo Jian Wang Yiming Qian Yee-Hong Yang 89 0 0 04 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning S. Basu Daniela Massiceti S. Hu Soheil Feizi VLM 85 34 0 04 Apr 2023
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder Yunyi Liu Zhanyu Wang Dong Xu Luping Zhou ViT MedIm 70 37 0 04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 80 16 0 04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 109 23 0 04 Apr 2023
Learning Personalized Models with Clustered System Identification Leonardo F. Toso Hang Wang James Anderson 93 10 0 03 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 84 45 0 03 Apr 2023
Personalized Federated Learning with Local Attention Sicong Liang Junchao Tian Shujun Yang Yu Zhang FedML 52 0 0 02 Apr 2023
CNNs with Multi-Level Attention for Domain Generalization Aristotelis Ballas Christos Diou OOD 92 6 0 02 Apr 2023
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy Ramtin Hosseini Li Zhang Bhanu Garg P. Xie FaML 42 0 0 02 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning Zeyin Song Yifan Zhao Yujun Shi Peixi Peng Liuliang Yuan Yonghong Tian CLL 78 65 0 02 Apr 2023
On Context Distribution Shift in Task Representation Learning for Offline Meta RL Chenyang Zhao Zihao Zhou Bing-Quan Liu OffRL 55 4 0 01 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo Zhang Tao Chen 3DPC 89 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 108 26 0 31 Mar 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 82 11 0 31 Mar 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 146 13 0 31 Mar 2023