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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Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies Benjue Weng LM&MA 46 7 0 13 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 45 0 0 11 Apr 2024
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation Shasha Guo Lizi Liao Jing Zhang Yanling Wang Cuiping Li Hong Chen 42 5 0 02 Apr 2024
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification S. Ghose Yang Wang 3DPC 41 0 0 01 Apr 2024
Survey of Computerized Adaptive Testing: A Machine Learning Perspective Qi Liu Zhuang Yan Haoyang Bi Zhenya Huang Weizhe Huang ... Z. Pardos Haiping Ma Mengxiao Zhu Shijin Wang Enhong Chen AI4Ed 49 9 0 31 Mar 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation Ashwin Aravind Taha Toghani César A. Uribe 40 1 0 26 Mar 2024
Advancing Extrapolative Predictions of Material Properties through Learning to Learn Kohei Noda Araki Wakiuchi Yoshihiro Hayashi Ryo Yoshida AI4CE 40 0 0 25 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation Jiyi Chen Pengyu Li Yutong Wang Pei-Cheng Ku Qing Qu 32 3 0 19 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 37 0 0 18 Mar 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning Ruiyi Zhang Rushi Qiang Sai Ashish Somayajula Pengtao Xie 39 13 0 14 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 36 2 0 07 Mar 2024
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization Han Guo Ramtin Hosseini Ruiyi Zhang Sai Ashish Somayajula Ranak Roy Chowdhury Rajesh K. Gupta Pengtao Xie 36 0 0 28 Feb 2024
Deployment Prior Injection for Run-time Calibratable Object Detection Mo Zhou Yiding Yang Haoxiang Li Vishal M. Patel Gang Hua 44 0 0 27 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 31 0 0 23 Feb 2024
Generalizing Reward Modeling for Out-of-Distribution Preference Learning Chen Jia 41 2 0 22 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 46 15 0 22 Feb 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics Xinyu Zhang Wenjie Qiu Yi-Chen Li Lei Yuan Chengxing Jia Zongzhang Zhang Yang Yu OffRL 33 1 0 17 Feb 2024
Vision-Based Hand Gesture Customization from a Single Demonstration Soroush Shahi Cori Tymoszek Park Richard Kang Asaf Liberman Oron Levy Jun Gong Abdelkareem Bedri Gierad Laput 19 2 0 13 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners Gresa Shala André Biedenkapp Josif Grabocka OffRL 31 4 0 09 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 43 1 0 07 Feb 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 33 9 0 07 Feb 2024
Domain Adaptation of Multilingual Semantic Search -- Literature Review Anna Bringmann Anastasia Zhukova VLM 38 0 0 05 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 43 7 0 04 Feb 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 39 0 0 29 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 46 1 0 19 Jan 2024
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis Jie Hao Xiaochuan Gong Mingrui Liu 30 7 0 17 Jan 2024
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges Aiqi Jiang A. Zubiaga AAML 31 3 0 17 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 77 1 0 17 Jan 2024
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation Yun-Wei Chu Dong-Jun Han Christopher G. Brinton 28 4 0 15 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 29 0 0 10 Jan 2024
Test-Time Personalization with Meta Prompt for Gaze Estimation Huan Liu Julia Qi Zhenhao Li Mohammad Hassanpour Yang Wang Konstantinos Plataniotis Yuanhao Yu 34 4 0 03 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space Padmaksha Roy Tyler Cody Himanshu Singhal Kevin Choi Ming Jin OOD 26 1 0 28 Dec 2023
Exploring intra-task relations to improve meta-learning algorithms P. Agarwal Shreya Singh OOD 30 1 0 27 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 27 1 0 27 Dec 2023
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems Amit Jena D. Kalathil Le Xie 25 3 0 23 Dec 2023
Mask Grounding for Referring Image Segmentation Yong Xien Chng Henry Zheng Yizeng Han Xuchong Qiu Gao Huang ISeg ObjD 32 15 0 19 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 26 25 0 19 Dec 2023
UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic Cross-modal Learnable Prompts Chenlu Zhan Yufei Zhang Yu Lin Gaoang Wang Hongwei Wang VLM MedIm 30 5 0 18 Dec 2023
MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas Müller Carlo Curino Raghu Ramakrishnan LMTD 40 2 0 14 Dec 2023
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning Haowen Bai Zixiang Zhao Jiangshe Zhang Yichen Wu Lilun Deng Yukun Cui Shuang Xu Baisong Jiang 38 6 0 13 Dec 2023
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 34 3 0 12 Dec 2023
ICL Markup: Structuring In-Context Learning using Soft-Token Tags Marc-Etienne Brunet Ashton Anderson R. Zemel 31 4 0 12 Dec 2023
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 29 0 0 12 Dec 2023
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering Vivek Gopalakrishnan Neel Dey Polina Golland MedIm 27 11 0 11 Dec 2023
Evolving Reservoirs for Meta Reinforcement Learning Corentin Léger Gautier Hamon Eleni Nisioti X. Hinaut Clément Moulin-Frier 28 1 0 09 Dec 2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 31 1 0 09 Dec 2023
Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang Jinze Zhao Peihao Wang Zhangyang Wang Yingbin Liang 31 2 0 03 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 24 4 0 01 Dec 2023
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 45 8 0 30 Nov 2023