Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

31 July 2017

Papers citing "Meta-SGD: Learning to Learn Quickly for Few-Shot Learning"

50 / 222 papers shown

Title
Meta knowledge assisted Evolutionary Neural Architecture Search Yangyang Li Guanlong Liu Ronghua Shang L. Jiao 56 0 0 30 Apr 2025
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations Chenghao Xiao Hou Pong Chan Hao Zhang Mahani Aljunied Lidong Bing Noura Al Moubayed Yu Rong 65 0 0 18 Apr 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers Mert Bulent Sariyildiz Philippe Weinzaepfel Thomas Lucas Pau de Jorge Diane Larlus Yannis Kalantidis 63 0 0 18 Mar 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 130 1 0 03 Feb 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 42 0 0 24 Jan 2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning Wenhao Gu Li Gu Ziqiang Wang Ching Yee Suen Yang Wang 56 0 0 22 Jan 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki 42 0 0 21 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 61 1 0 20 Jan 2025
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing Hui Lin Nan Li Pengjuan Yao Kexin Dong Yuhan Guo Danfeng Hong Wenjie Qu Congcong Wen 118 4 0 05 Jan 2025
Task-driven Image Fusion with Learnable Fusion Loss Haowen Bai Jiangshe Zhang Zixiang Zhao Yichen Wu Lilun Deng Yukun Cui Tao Feng Shuang Xu 116 1 0 04 Dec 2024
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators Shao-Ting Chiu Junyuan Hong Ulisses Braga-Neto BDL 33 0 0 11 Oct 2024
Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani Josue Nassar Hyungju Jeon Matthew Dowling Il Memming Park 41 1 0 07 Oct 2024
Across-Game Engagement Modelling via Few-Shot Learning Kosmas Pinitas Konstantinos Makantasis Georgios N. Yannakakis 36 1 0 19 Sep 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 57 1 0 13 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jian Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 81 0 0 09 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 38 1 0 05 Sep 2024
Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection Tongtong Feng Qi Qi Lingqi Guo Jingyu Wang 38 0 0 30 Aug 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning Yeongbin Seo Dongha Lee Jinyoung Yeo CLL KELM 100 1 0 24 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 46 0 0 20 Jul 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach Georgios Tsoumplekas C. Athanasiadis Dimitrios I. Doukas Antonios C. Chrysopoulos P. Mitkas AI4TS 32 3 0 09 Jun 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection Xinwei Zhang Aishan Liu Tianyuan Zhang Siyuan Liang Xianglong Liu AAML 59 11 0 09 May 2024
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification S. Ghose Yang Wang 3DPC 44 0 0 01 Apr 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning Ruiyi Zhang Rushi Qiang Sai Ashish Somayajula Pengtao Xie 42 13 0 14 Mar 2024
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 42 7 0 13 Dec 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 43 7 0 16 Oct 2023
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation Menglong Lu Zhen Huang Yunxiang Zhao Zhiliang Tian Yang Liu Dongsheng Li 39 6 0 05 Aug 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu Zhen Huang Zhiliang Tian Yunxiang Zhao Xuanyu Fei Dongsheng Li OOD 44 5 0 04 Aug 2023
Writer adaptation for offline text recognition: An exploration of neural network-based methods Tobias van der Werff Maruf A. Dhali Lambert Schomaker 52 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 36 70 0 10 Jul 2023
Meta-Learning Adversarial Bandit Algorithms M. Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu FedML 30 2 0 05 Jul 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 28 10 0 26 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Zifeng Wang Cao Xiao Jimeng Sun 31 17 0 07 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 45 15 0 04 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 24 40 0 03 Apr 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 26 9 0 31 Mar 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 26 2 0 29 Mar 2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach Yunfei Ge Tao Li Quanyan Zhu AAML 26 18 0 06 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition Xiang Wang Shiwei Zhang Jun Cen Changxin Gao Yingya Zhang Deli Zhao Nong Sang VLM 27 53 0 06 Mar 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 38 5 0 30 Jan 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 35 6 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 34 25 0 23 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 47 73 0 11 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 35 16 0 06 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 38 3 0 04 Jan 2023
Wormhole MAML: Meta-Learning in Glued Parameter Space C. Chang Yuan Gao B. Lou 29 0 0 28 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 43 3 0 22 Dec 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 27 47 0 27 Nov 2022