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
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 47 9 0 14 Nov 2022
Hypernetworks in Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Shimon Whiteson OffRL 29 30 0 20 Oct 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability Zhaofeng Wu IV RobertL.Logan Pete Walsh Akshita Bhagia Dirk Groeneveld Sameer Singh Iz Beltagy VLM 44 12 0 19 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation Tao Li Haozhe Lei Quanyan Zhu 28 11 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 39 1 0 20 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 33 11 0 19 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 23 6 0 07 Sep 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 33 1 0 30 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 98 36 0 24 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval A. Bhunia Aneeshan Sain Parth Shah Animesh Gupta Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song 61 21 0 04 Jul 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 32 8 0 18 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 43 12 0 15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 41 8 0 15 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase K. Khabarlak 19 1 0 13 Jun 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 35 4 0 11 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 43 39 0 08 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 51 9 0 07 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 33 9 0 04 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 59 345 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 31 6 0 13 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 27 61 0 05 May 2022
MetaAudio: A Few-Shot Audio Classification Benchmark Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi VLM 45 32 0 05 Apr 2022
Meta-Learning for Online Update of Recommender Systems Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee KELM 29 18 0 19 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li Jingyao Wang Changwen Zheng Fuchun Sun Hui Xiong 37 23 0 10 Mar 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales 27 6 0 05 Mar 2022
Amortized Proximal Optimization Juhan Bae Paul Vicol Jeff Z. HaoChen Roger C. Grosse ODL 33 14 0 28 Feb 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 29 7 0 28 Feb 2022
Meta Knowledge Distillation Jihao Liu Boxiao Liu Hongsheng Li Yu Liu 18 25 0 16 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 26 4 0 05 Feb 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime Prarthana Bhattacharyya Chenge Li Xiaonan Zhao István Fehérvári Jason Sun ViT 39 2 0 22 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 25 31 0 20 Jan 2022
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing Xin Liu Yuntao wang S. Xie Xiaoyu Zhang Zixian Ma Daniel J. McDuff Shwetak N. Patel 30 10 0 11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 27 4 0 09 Jan 2022
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
Meta-Teacher For Face Anti-Spoofing Yunxiao Qin Zitong Yu Longbin Yan Zezheng Wang Chenxu Zhao Zhen Lei CVBM 25 61 0 12 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
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 53 12 0 30 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun Luo 26 111 0 29 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 0 27 Oct 2021
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 230 343 0 21 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 47 37 0 18 Oct 2021
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 27 22 0 18 Oct 2021
Controllable Semantic Parsing via Retrieval Augmentation Panupong Pasupat Yuan Zhang Kelvin Guu 132 47 0 16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 36 11 0 14 Oct 2021
Across-Task Neural Architecture Search via Meta Learning Jingtao Rong Xinyi Yu Mingyang Zhang L. Ou 25 1 0 12 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 32 40 0 09 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 37 13 0 06 Oct 2021
Online Hyperparameter Meta-Learning with Hypergradient Distillation Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang DD 42 2 0 06 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 64 55 0 28 Sep 2021