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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
Improving Visual Object Tracking through Visual Prompting Shih-Fang Chen Jun-Cheng Chen I-Hong Jhuo Yen-Yu Lin VLM 84 1 0 27 Sep 2024
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation Jer Pelhan A. Lukežič Vitjan Zavrtanik Matej Kristan ObjD 124 5 0 27 Sep 2024
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning Yu Fu Jie He Yifan Yang Qun Liu Deyi Xiong OffRL LRM 107 0 0 27 Sep 2024
Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval Mankeerat Sidhu Hetarth Chopra Ansel Blume Jeonghwan Kim Revanth Gangi Reddy Heng Ji ObjD VLM 76 1 0 26 Sep 2024
AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Yongqiang Mao Jianning Pei Wenhui Diao Hongqi Wang Xian Sun ViT 99 6 0 26 Sep 2024
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement Haodong Li Hao Lu Ying-Cong Chen 75 2 0 25 Sep 2024
Benchmarking Domain Generalization Algorithms in Computational Pathology Neda Zamanitajeddin Mostafa Jahanifar Kesi Xu Fouzia Siraj Nasir M. Rajpoot OOD 87 2 0 25 Sep 2024
Learning Representation for Multitask learning through Self Supervised Auxiliary learning Seokwon Shin Hyungrok Do Youngdoo Son SSL 86 1 0 25 Sep 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection Matteo Zecchin Sangwoo Park Osvaldo Simeone LM&MA 265 5 0 24 Sep 2024
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition Ming Jin Danni Zhang Gangming Zhao Changde Du Jinpeng Li TTA 75 0 0 24 Sep 2024
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks Ahmed Shokry Walid Gomaa Tobias Zaenker Murad Dawood Shady A. Maged Mohammed I. Awad Maren Bennewitz Maren Bennewitz OffRL 83 0 0 24 Sep 2024
MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices Kan Hu Linfeng Wen Minxian Xu Kejiang Ye 73 0 0 23 Sep 2024
Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach Yuki Tsuchiya Thomas Balch P. Drews Guy Rosman 114 3 0 23 Sep 2024
Structure Learning via Mutual Information Jeremy Nixon 33 0 0 21 Sep 2024
A Feature Generator for Few-Shot Learning Heethanjan Kanagalingam Thenukan Pathmanathan Navaneethan Ketheeswaran Mokeeshan Vathanakumar Mohamed Afham Ranga Rodrigo 61 0 0 21 Sep 2024
UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation Jinho Park Se Young Chun Mingoo Seok TTA 92 2 0 19 Sep 2024
Across-Game Engagement Modelling via Few-Shot Learning Kosmas Pinitas Konstantinos Makantasis Georgios N. Yannakakis 76 1 0 19 Sep 2024
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 90 1 0 18 Sep 2024
Few-Shot Domain Adaptation for Learned Image Compression Tianyu Zhang Haotian Zhang Yuqi Li Li Li Dong Liu VLM 103 1 0 17 Sep 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences Jason Bohne David Rosenberg Gary Kazantsev Pawel Polak 80 0 0 16 Sep 2024
Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation Hanbo Bi Yingchao Feng Wenhui Diao Peijin Wang Yongqiang Mao Kun Fu Hongqi Wang Xian Sun VLM 80 5 0 16 Sep 2024
Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction Lei Chu Daoud Burghal Rui Wang Michael Neuman A. Molisch 82 0 0 16 Sep 2024
Personalized Speech Emotion Recognition in Human-Robot Interaction using Vision Transformers Ruchik Mishra Andrew Frye M. M. Rayguru Dan O. Popa 158 1 0 16 Sep 2024
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification Jesus Barreda Ashley Gomez Ruben Puga Kaixiong Zhou Li Zhang AI4TS 55 0 0 15 Sep 2024
Learning Transferable Features for Implicit Neural Representations Kushal Vyas Ahmed Imtiaz Humayun Aniket Dashpute Richard G. Baraniuk Ashok Veeraraghavan Guha Balakrishnan OOD 202 4 0 15 Sep 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 161 3 0 13 Sep 2024
Music auto-tagging in the long tail: A few-shot approach T. A. Ma Alexander Lerch VLM 61 0 0 12 Sep 2024
Personalized Federated Learning Techniques: Empirical Analysis Azal Ahmad Khan Ahmad Faraz Khan Haider Ali A. Anwar FedML 94 1 0 10 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 191 0 0 09 Sep 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 104 0 0 06 Sep 2024
Contrastive Learning-based User Identification with Limited Data on Smart Textiles Yunkang Zhang Ziyu Wu Zhen Liang Fangting Xie Quan Wan Mingjie Zhao Xiaohui Cai 75 1 0 06 Sep 2024
WarpAdam: A new Adam optimizer based on Meta-Learning approach Chengxi Pan Junshang Chen Jingrui Ye ODL 74 0 0 06 Sep 2024
SCARF: Scalable Continual Learning Framework for Memory-efficient Multiple Neural Radiance Fields Yuze Wang Junyi Wang Chen Wang Wantong Duan Yongtang Bao Yue Qi CLL 113 6 0 06 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 163 1 0 06 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 61 1 0 05 Sep 2024
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 126 0 0 04 Sep 2024
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers Kunze Wu Weiheng Jiang Dusit Niyato Yinghuan Li Chuang Luo AAML 120 0 0 04 Sep 2024
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification Eslam Eldeeb M. Shehab Hirley Alves Mohamed-Slim Alouini 73 0 0 03 Sep 2024
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification Ben Dai UQCV 91 0 0 02 Sep 2024
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuanhui Yang Yuanyuan Zhu Chuang Hu Bo Du Jiawei Jiang VLM 61 0 0 01 Sep 2024
Abstracted Gaussian Prototypes for One-Shot Concept Learning Chelsea Zou Kenneth J. Kurtz VLM 72 0 0 30 Aug 2024
Deep Neural Implicit Representation of Accessibility for Multi-Axis Manufacturing George Harabin Amir M. Mirzendehdel M. Behandish AI4CE 81 0 0 30 Aug 2024
In-Context Imitation Learning via Next-Token Prediction Letian Fu Huang Huang Gaurav Datta Lawrence Yunliang Chen William Chung-Ho Panitch Fangchen Liu Hui Li Ken Goldberg LM&Ro 86 23 0 28 Aug 2024
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning Bingchen Yan 103 0 0 28 Aug 2024
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis Sijie Mai Yu Zhao Ying Zeng Jianhua Yao Haifeng Hu 131 2 0 28 Aug 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 99 7 0 28 Aug 2024
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL Jihwan Lee Woochang Sim Sejin Kim Sundong Kim OffRL 108 2 0 27 Aug 2024
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules Bingchen Yan 109 0 0 26 Aug 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective Quanziang Wang Renzhen Wang Yichen Wu Xixi Jia Minghao Zhou Deyu Meng 87 1 0 26 Aug 2024
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights Ardhendu Sekhar R. Gupta Amit Sethi 69 3 0 25 Aug 2024