On First-Order Meta-Learning Algorithms

8 March 2018

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

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Title
Image quality assessment for machine learning tasks using meta-reinforcement learning Shaheer U. Saeed Yunguan Fu V. Stavrinides Zachary Michael Cieman Baum Qianye Yang ... Richard E. Fan G. Sonn J. A. Noble D. Barratt Yipeng Hu 29 36 0 27 Mar 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison Tianying Liu Lu Zhang Yang Wang Jihong Guan Yanwei Fu Jiajia Zhao Shuigeng Zhou ObjD AAML 18 27 0 27 Mar 2022
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection Li Yin Juan-Manuel Perez-Rua Kevin J Liang ObjD 25 35 0 25 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 35 32 0 25 Mar 2022
Rich Feature Construction for the Optimization-Generalization Dilemma Jianyu Zhang David Lopez-Paz Léon Bottou 27 37 0 24 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning Deepshikha Pandey Qi Yu UQCV 11 10 0 23 Mar 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 82 368 0 22 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 32 27 0 21 Mar 2022
Negative Inner-Loop Learning Rates Learn Universal Features Tom Starshak 31 2 0 18 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 33 27 0 17 Mar 2022
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications Viet-Khoa Vo-Ho Kashu Yamazaki Hieu T. Hoang Minh-Triet Tran Ngan Le 17 4 0 16 Mar 2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation Chunbo Lang Gong Cheng Binfei Tu Junwei Han 26 201 0 15 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning Da-Wei Zhou Fu Lee Wang Han-Jia Ye Liang Ma Shiliang Pu De-Chuan Zhan CLL 35 168 0 14 Mar 2022
Optimizer Amalgamation Tianshu Huang Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang MoMe 33 4 0 12 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks? Ni Gao Hanna Ziesche Ngo Anh Vien Michael Volpp Gerhard Neumann VLM 18 29 0 09 Mar 2022
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning Zhenhailong Wang Hangyeol Yu Manling Li Han Zhao Heng Ji VLM 20 0 0 09 Mar 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 30 16 0 06 Mar 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation T. Deleu David Kanaa Leo Feng Giancarlo Kerg Yoshua Bengio Guillaume Lajoie Pierre-Luc Bacon 31 18 0 02 Mar 2022
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs Wenrui Zhang Shijia Geng Zhaoji Fu Linlin Zheng Chenyang Jiang linda Qiao 15 4 0 25 Feb 2022
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition Yunzheng Zhu Ruchao Fan Abeer Alwan CLL 33 4 0 24 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 26 15 0 23 Feb 2022
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users D. Jain Khoa Nguyen Steven M. Goodman Rachel Grossman-Kahn Hung Ngo Aditya Kusupati Ruofei Du A. Olwal Leah Findlater Jon E. Froehlich 34 30 0 22 Feb 2022
FedEmbed: Personalized Private Federated Learning Andrew Silva Katherine Metcalf N. Apostoloff B. Theobald FedML 21 6 0 18 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning Jingquan Wang Jing Xu Yu Pan Zenglin Xu VLM 14 1 0 17 Feb 2022
Gradients without Backpropagation A. G. Baydin Barak A. Pearlmutter Don Syme Frank Wood Philip Torr 38 66 0 17 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning A. Bietti Chen-Yu Wei Miroslav Dudík John Langford Zhiwei Steven Wu FedML 30 44 0 10 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 43 29 0 09 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 29 5 0 07 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 42 75 0 07 Feb 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization Sen Lin Jialin Wan Tengyu Xu Yingbin Liang Junshan Zhang OffRL 31 17 0 07 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 27 11 0 03 Feb 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 22 3 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
COIN++: Neural Compression Across Modalities Emilien Dupont H. Loya Milad Alizadeh Adam Goliñski Yee Whye Teh Arnaud Doucet 63 83 0 30 Jan 2022
The Effect of Diversity in Meta-Learning Ramnath Kumar T. Deleu Yoshua Bengio 16 13 0 27 Jan 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Jixuan Wang Kuan-Chieh Jackson Wang Frank Rudzicz M. Brudno VLM 25 21 0 27 Jan 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent Kenneth Stewart Emre Neftci 35 25 0 26 Jan 2022
Bilevel Online Deep Learning in Non-stationary Environment Ya-nan Han Jian-wei Liu Bing-biao Xiao Xin-Tan Wang Xiong-lin Luo 30 3 0 25 Jan 2022
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification Lei Qi Lei Wang Yinghuan Shi Xing-xiao Geng 53 22 0 24 Jan 2022
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning Chenxing Wang Fang Zhao Haichao Zhang Haiyong Luo Yanjun Qin Yuchen Fang AI4TS 16 17 0 20 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling Qianqian Zhang Xinru Liao Quanlian Liu Jian Xu Bo Zheng 30 52 0 18 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 45 19 0 16 Jan 2022
Multi-level Second-order Few-shot Learning Hongguang Zhang Hongdong Li Piotr Koniusz 13 33 0 15 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 50 9 0 13 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning Yuying Ge Yibing Song Ruimao Zhang Ping Luo VGen DiffM 25 0 0 13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 33 68 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
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 36 11 0 05 Jan 2022
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning Ziyang Tang Yihao Feng Qiang Liu OffRL 17 1 0 01 Jan 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 32 1 0 27 Dec 2021