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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
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots Alican Mertan Nick Cheney 76 6 0 12 Jun 2023
Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning Hailin Zhang Defang Chen Can Wang 78 14 0 11 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu Weiqiang Wang 59 11 0 11 Jun 2023
Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values Anchen Sun Elizabeth J. Franzmann Zhibin Chen Xiaodong Cai 39 5 0 09 Jun 2023
Virtual Node Tuning for Few-shot Node Classification Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 98 43 0 09 Jun 2023
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations E. L. Naour Louis Serrano Léon Migus Yuan Yin G. Agoua Nicolas Baskiotis Patrick Gallinari Vincent Guigue BDL AI4TS 94 13 0 09 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 74 1 0 08 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 87 2 0 07 Jun 2023
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP Arsham Gholamzadeh Khoee Alireza Javaheri Saeed Reza Kheradpisheh M. Ganjtabesh OOD 75 6 0 07 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning Seyyidahmed Lahmer Federico Mason Federico Chiariotti Andrea Zanella 68 1 0 06 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspective Peng Yan Guodong Long FedML 39 5 0 06 Jun 2023
State Regularized Policy Optimization on Data with Dynamics Shift Zhenghai Xue Qingpeng Cai Shuchang Liu Dong Zheng Peng Jiang Kun Gai Bo An OffRL 61 18 0 06 Jun 2023
GSHOT: Few-shot Generative Modeling of Labeled Graphs S. Manchanda Shubham Gupta Sayan Ranu Srikanta J. Bedathur VLM 42 0 0 06 Jun 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation Shiguang Wu Yaqing Wang Qinghe Jing Daxiang Dong Dejing Dou Quanming Yao 54 7 0 06 Jun 2023
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate Hongchang Gao 80 0 0 06 Jun 2023
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation Wanpeng Zhang Yilin Li Boyu Yang Zongqing Lu CML 77 1 0 05 Jun 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization Jiwoo Son Minsu Kim Hyeon-Seob Kim Jinkyoo Park 105 22 0 05 Jun 2023
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition Quan-Wu Xiao Songtao Lu Tianyi Chen 78 2 0 04 Jun 2023
ContraBAR: Contrastive Bayes-Adaptive Deep RL Era Choshen Aviv Tamar BDL OffRL 59 9 0 04 Jun 2023
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification Jintao Rong Hao Chen Tianrun Chen Linlin Ou Xinyi Yu Yifan Liu VLM VPVLM 75 6 0 04 Jun 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation Shuo Lei Xuchao Zhang Jianfeng He Fanglan Chen Chang-Tien Lu VLM 36 16 0 03 Jun 2023
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework Lingfeng Sun Haichao Zhang Wei Xu Masayoshi Tomizuka 119 9 0 02 Jun 2023
Towards In-context Scene Understanding Ivana Balazevic David Steiner Nikhil Parthasarathy Relja Arandjelović Olivier J. Hénaff 76 31 0 02 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 113 0 0 02 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie Zhang Jingren Zhou KELM 104 4 0 02 Jun 2023
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement Long Ma Dian Jin Nan An Jinyuan Liu Xin-Yue Fan Risheng Liu 130 52 0 02 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 120 31 0 02 Jun 2023
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models Masoud Monajatipoor Liunian Harold Li Mozhdeh Rouhsedaghat Lin F. Yang Kai-Wei Chang MLLM LRM 80 14 0 02 Jun 2023
Egocentric Planning for Scalable Embodied Task Achievement Xiaotian Liu Héctor Palacios Christian Muise LM&Ro 87 4 0 02 Jun 2023
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance Weizhi Nie Chen Zhang Dan Song Lina Zhao Yunpeng Bai Keliang Xie Anan Liu 79 2 0 02 Jun 2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer Weisen Jiang Yu Zhang James T. Kwok VLM OffRL 94 18 0 01 Jun 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 109 24 0 31 May 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 122 52 0 31 May 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 85 10 0 31 May 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs Yi Sun Xin Xu Jiaqiang Li Xiaochang Hu Yifei Shi L. Zeng 221 2 0 31 May 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 90 17 0 30 May 2023
Compression with Bayesian Implicit Neural Representations Zongyu Guo Gergely Flamich Jiajun He Zhibo Chen José Miguel Hernández-Lobato 117 25 0 30 May 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 68 6 0 30 May 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 92 2 0 30 May 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 91 6 0 30 May 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning Jin Yuan Yang Zhang Yangzhou Du Zhongchao Shi Xin Geng Jianping Fan Yong Rui 83 0 0 30 May 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization Chen Fan Gaspard Choné-Ducasse Mark Schmidt Christos Thrampoulidis 83 3 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 114 26 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 77 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 39 2 0 29 May 2023
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion Haobo Yang Wenyu Wang Zexin Cao Zhekai Duan Xuchen Liu VLM 49 0 0 28 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 132 8 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 70 14 0 27 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 84 3 0 27 May 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features Boyuan Chen Chuning Zhu Pulkit Agrawal Kai Zhang Abhishek Gupta OffRL SSL 84 9 0 26 May 2023