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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
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 417 0 0 07 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 82 0 0 07 Nov 2024
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data Chengrui Qu Laixi Shi Kishan Panaganti Pengcheng You Adam Wierman OffRL OnRL 100 2 0 06 Nov 2024
Detect an Object At Once without Fine-tuning Junyu Hao Jianheng Liu Yongjia Zhao Zuofan Chen Qi Sun Jinlong Chen Jianguo Wei Minghao Yang ObjD 125 0 0 04 Nov 2024
Learning Where to Edit Vision Transformers Yunqiao Yang Long-Kai Huang Shengzhuang Chen Kede Ma Ying Wei KELM 91 1 0 04 Nov 2024
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension Jie Yang Wang Zeng Sheng Jin Lumin Xu Wentao Liu Chen Qian Ruimao Zhang MLLM 133 3 0 04 Nov 2024
Transferable Sequential Recommendation via Vector Quantized Meta Learning Zhenrui Yue Huimin Zeng Yang Zhang Julian McAuley Dong Wang DRL MQ 74 0 0 04 Nov 2024
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups Razvan-Alexandru Smadu David-Gabriel Ion Dumitru-Clementin Cercel Florin-Catalin Pop Mihaela-Claudia Cercel 82 1 0 03 Nov 2024
Robust Neural Processes for Noisy Data Chen Shapira Dan Rosenbaum 115 2 0 03 Nov 2024
Adaptive Domain Learning for Cross-domain Image Denoising Zian Qian Chenyang Qi K. L. Law Hao Fu Chenyang Lei Qifeng Chen 121 0 0 03 Nov 2024
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning Fei Zhou Peng Wang Lei Zhang Zhaoyu Chen Wei Wei Chen Ding Guosheng Lin Yanning Zhang 115 1 0 03 Nov 2024
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization Kai Jiang Chen Zhao Haoliang Wang Feng Chen OOD FedML 78 3 0 02 Nov 2024
Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions Weifan Long Wen Wen Peng Zhai Lihua Zhang 91 1 0 02 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction Liang Wang Qiang Liu Shaozhen Liu Xin Sun Shu Wu Liang Wang 106 2 0 02 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-Jiao Gong Jun Zhang Kay Chen Tan 298 5 0 01 Nov 2024
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 170 1 0 31 Oct 2024
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning Nabil Omi Hosein Hasanbeig Hiteshi Sharma Sriram K. Rajamani S. Sen 75 0 0 31 Oct 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang Dong Liang Zheng Xie 121 3 0 30 Oct 2024
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation Jintao Tong Yixiong Zou Yuhua Li Ruixuan Li 96 6 0 29 Oct 2024
Predicting the Encoding Error of SIRENs Jeremy Vonderfecht Feng Liu AI4CE 67 4 0 29 Oct 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning P. M. Ghari Yanning Shen FedML 58 4 0 28 Oct 2024
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery Ruifeng Li Wei Liu Xiangxin Zhou Mingqian Li Qiang Zhang Hongyang Chen Xuemin Lin 103 0 0 28 Oct 2024
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system Zeyuan Li Yangfan He Lewei He Jianhui Wang Tianyu Shi Bin Lei Tianyu Shi Qiuwu Chen ALM 171 6 0 28 Oct 2024
Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes Ivan Kukanov Janne Laakkonen Tomi Kinnunen Ville Hautamaki AAML 133 1 0 27 Oct 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 121 6 0 26 Oct 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression Yixiu Mao Qi Wang Chen Chen Yun Qu Xiangyang Ji OffRL 146 7 0 25 Oct 2024
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis Weikai Li Ding Wang Zijian Ding Atefeh Sohrabizadeh Zongyue Qin Jason Cong Yizhou Sun 87 3 0 25 Oct 2024
Meta-Learning with Heterogeneous Tasks Zhaofeng Si Shu Hu Kaiyi Ji Siwei Lyu 74 1 0 24 Oct 2024
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 79 1 0 24 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks Tao Li Henger Li Yunian Pan Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 76 5 0 22 Oct 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo Yuhan Chen Siya Qiu Yiwei Wang Chen Zhang Yan Zhou Xiaochun Cao Jing Tang AAML 85 2 0 22 Oct 2024
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation Ruting Chi Zhiyi Huang Yuexing Han ISeg 76 0 0 21 Oct 2024
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios Jeaung Lee Jeewoo Lim Keunho Byeon Jin Tae Kwak 79 5 0 21 Oct 2024
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer K. Bhaumik Minha Kim Fahim Faisal Niloy A. Ali Simon S. Woo AI4TS 47 0 0 21 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 106 8 0 20 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer Keting Yin Jiayi Mao 82 0 0 19 Oct 2024
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization Min Wen Chengchang Liu Ahmed Abdelmoniem Yipeng Zhou Yuedong Xu 62 0 0 18 Oct 2024
Multi-Task Dynamic Pricing in Credit Market with Contextual Information Adel Javanmard Jingwei Ji Renyuan Xu 95 1 0 18 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning Jialu Tang Tong Xia Yuan Lu Cecilia Mascolo Aaqib Saeed AI4MH 102 3 0 18 Oct 2024
Novelty-based Sample Reuse for Continuous Robotics Control Ke Duan Kai Yang Houde Liu Xueqian Wang 77 0 0 17 Oct 2024
Interactive Navigation with Adaptive Non-prehensile Mobile Manipulation Cunxi Dai Xiaohan Liu Koushil Sreenath Zhongyu Li Ralph Hollis 80 2 0 17 Oct 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 135 1 0 17 Oct 2024
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Renpu Liu Ruida Zhou Cong Shen Jing Yang 144 0 0 17 Oct 2024
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation Wenbo Xu Yanan Wu Haoran Jiang Yang Wang Qiang Wu Jian Zhang CLL VLM 75 0 0 16 Oct 2024
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts Hongcheng Gao Tianyu Pang Chao Du Taihang Hu Zhijie Deng Min Lin DiffM 93 11 0 16 Oct 2024
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations Shen Fan Przemyslaw Musialski AI4CE 87 0 0 16 Oct 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning Hongduan Tian Feng Liu Zhanke Zhou Tongliang Liu Chengqi Zhang Bo Han VLM 134 1 0 16 Oct 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang Li Zhang Wenhao Wu Yuanheng Zhu Dongbin Zhao C. L. Philip Chen OffRL 104 9 0 15 Oct 2024
Towards Differentiable Multilevel Optimization: A Gradient-Based Approach Yuntian Gu Xuzheng Chen 76 0 0 15 Oct 2024
State-space models can learn in-context by gradient descent Neeraj Mohan Sushma Yudou Tian Harshvardhan Mestha Nicolo Colombo David Kappel Anand Subramoney 149 3 0 15 Oct 2024