On First-Order Meta-Learning Algorithms

8 March 2018

Papers citing "On First-Order Meta-Learning Algorithms"

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Title
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 19 1 0 23 Dec 2021
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation Ileana Rugina Rumen Dangovski Mark S. Veillette Pooya Khorrami Brian Cheung Olga Simek M. Soljavcić VLM SSL 25 2 0 22 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 43 21 0 15 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 28 60 0 13 Dec 2021
$Up to 100$\times$ Faster Data-free Knowledge Distillation$ Up to 100 $\times$ Faster Data-free Knowledge Distillation Gongfan Fang Kanya Mo Xinchao Wang Mingli Song Shitao Bei Haofei Zhang Xiuming Zhang DD 36 4 0 12 Dec 2021
Leaping Through Time with Gradient-based Adaptation for Recommendation Nuttapong Chairatanakul Hoang NT Xin Liu T. Murata 27 0 0 11 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 28 4 0 10 Dec 2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition Anirudh Thatipelli Sanath Narayan Salman Khan Rao Muhammad Anwer Fahad Shahbaz Khan Guohao Li ViT 29 88 0 09 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning Rongkai Ma Pengfei Fang Gilat Avraham Yan Zuo Tianyu Zhu Tom Drummond Mehrtash Harandi VLM 16 13 0 07 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 15 5 0 06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 20 7 0 06 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 21 45 0 03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 48 30 0 01 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning Edward W. Staley C. Ashcraft Ben Stoler Jared Markowitz Gautam K. Vallabha Christopher R. Ratto Kapil D. Katyal 22 6 0 01 Dec 2021
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning Elnur Gasanov Ahmed Khaled Samuel Horváth Peter Richtárik FedML 32 16 0 22 Nov 2021
Meta Adversarial Perturbations Chia-Hung Yuan Pin-Yu Chen Chia-Mu Yu AAML 31 2 0 19 Nov 2021
An Expectation-Maximization Perspective on Federated Learning Christos Louizos M. Reisser Joseph B. Soriaga Max Welling FedML 33 11 0 19 Nov 2021
Continual Learning via Local Module Composition O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 48 66 0 15 Nov 2021
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection Ashutosh Agarwal Anay Majee A. Subramanian Chetan Arora 19 4 0 12 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Fei Wu Jingren Zhou Hongxia Yang 24 91 0 11 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding Qianying Liu Fei Cheng Sadao Kurohashi 17 1 0 10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 36 9 0 09 Nov 2021
Meta-Forecasting by combining Global Deep Representations with Local Adaptation Riccardo Grazzi Valentin Flunkert David Salinas Tim Januschowski Matthias Seeger Cédric Archambeau AI4TS AI4CE 41 6 0 05 Nov 2021
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning Bleema Rosenfeld Osvaldo Simeone Bipin Rajendran GAN 30 16 0 02 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 26 14 0 02 Nov 2021
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning Clément Bonnet Paul Caron Thomas D. Barrett Ian Davies Alexandre Laterre 14 6 0 30 Oct 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 26 15 0 30 Oct 2021
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection Anay Majee A. Subramanian Kshitij Agrawal 29 3 0 28 Oct 2021
Gradient Inversion with Generative Image Prior Jinwoo Jeon Jaechang Kim Kangwook Lee Sewoong Oh Jungseul Ok 30 148 0 28 Oct 2021
Multi-Task Neural Processes Donggyun Kim Seongwoong Cho Wonkwang Lee Seunghoon Hong 33 0 0 28 Oct 2021
Meta-Learning Sparse Implicit Neural Representations Jaehoon Lee Jihoon Tack Namhoon Lee Jinwoo Shin 29 44 0 27 Oct 2021
Accelerating Gradient-based Meta Learner Varad Pimpalkhute Amey Pandit Mayank Mishra Rekha Singhal 22 1 0 27 Oct 2021
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 25 47 0 27 Oct 2021
Multilayer Lookahead: a Nested Version of Lookahead Denys Pushkin Luis Barba 87 1 0 27 Oct 2021
Dynamic population-based meta-learning for multi-agent communication with natural language Abhinav Gupta Marc Lanctot Angeliki Lazaridou LLMAG 35 20 0 27 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 43 71 0 27 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 38 191 0 26 Oct 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 29 20 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 28 1 0 26 Oct 2021
MIGS: Meta Image Generation from Scene Graphs R. Rajagede Sabrina Musatian Helisa Dhamo Nassir Navab VLM 27 10 0 22 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 12 1 0 22 Oct 2021
Bayesian Meta-Learning Through Variational Gaussian Processes Vivek Myers Nikhil Sardana BDL UQCV 11 4 0 21 Oct 2021
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! Vedant Shah Gautam M. Shroff AI4TS 26 5 0 19 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 35 93 0 19 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning D. Guo Longlong Tian Minghe Zhang Mingyuan Zhou H. Zha OOD 30 21 0 18 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 20 4 0 16 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 68 75 0 15 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021