Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

Papers citing "Meta-Learning in Neural Networks: A Survey"

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Title
A Survey on Active Deep Learning: From Model-driven to Data-driven Peng Liu Lizhe Wang Guojin He Lei Zhao 27 13 0 25 Jan 2021
The Ikshana Hypothesis of Human Scene Understanding Venkata Satya Sai Ajay Daliparthi 17 0 0 21 Jan 2021
Learning Abstract Task Representations Mikhail M. Meskhi A. Rivolli R. G. Mantovani R. Vilalta 24 7 0 19 Jan 2021
Machine learning with limited data Fupin Yao VLM 19 8 0 18 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 33 68 0 08 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 310 0 25 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 20 97 0 17 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 18 216 0 17 Dec 2020
Learning Prediction Intervals for Model Performance Benjamin Elder Matthew Arnold Anupama Murthi Jirí Navrátil 19 10 0 15 Dec 2020
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings Davide Buffelli Fabio Vandin AI4CE 20 14 0 12 Dec 2020
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding Liyan Sun Chenxin Li Xinghao Ding Yue Huang Guisheng Wang Yizhou Yu 11 111 0 10 Dec 2020
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning Riccardo Volpi Diane Larlus Grégory Rogez VLM OOD CLL 22 74 0 08 Dec 2020
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment Paul Pu Liang Peter Wu Liu Ziyin Louis-Philippe Morency Ruslan Salakhutdinov 33 30 0 04 Dec 2020
Creativity of Deep Learning: Conceptualization and Assessment Marcus Basalla Johannes Schneider Jan vom Brocke 31 14 0 03 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations Matthew Tancik B. Mildenhall Terrance Wang Divi Schmidt Pratul P. Srinivasan Jonathan T. Barron Ren Ng 19 283 0 03 Dec 2020
An Experimental Study of Semantic Continuity for Deep Learning Models Shangxi Wu Dongyuan Lu Xian Zhao Lizhang Chen Jitao Sang 36 2 0 19 Nov 2020
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications Minghui Qiu Peng Li Chengyu Wang Hanjie Pan Yaliang Li ... Jun Yang Yaliang Li Jun Huang Deng Cai Wei Lin VLM SyDa 31 20 0 18 Nov 2020
Your "Flamingo" is My "Bird": Fine-Grained, or Not Dongliang Chang Kaiyue Pang Yixiao Zheng Zhanyu Ma Yi-Zhe Song Jun Guo 33 1 0 18 Nov 2020
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability Daniel Lengyel Janith C. Petangoda Isak Falk Kate Highnam Michalis Lazarou A. Kolbeinsson M. Deisenroth N. Jennings 12 4 0 14 Nov 2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong-Ki Kim Miao Liu Matthew D Riemer Chuangchuang Sun Marwa Abdulhai Golnaz Habibi Sebastian Lopez-Cot Gerald Tesauro Jonathan P. How 13 55 0 31 Oct 2020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 202 287 0 23 Oct 2020
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds Lingjing Wang Yuting Hao Xiang Li Yi Fang 3DPC 6 1 0 22 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence Hao Huang Lingjing Wang Xiang Li Yi Fang 3DPC 23 0 0 21 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp G. Klambauer Sepp Hochreiter OOD 25 45 0 13 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 17 329 0 07 Oct 2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning Mert Kayaalp Stefan Vlaski Ali H. Sayed 20 28 0 06 Oct 2020
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar Ishita Dasgupta Jonathan D. Cohen Nathaniel D. Daw Thomas L. Griffiths OffRL 16 3 0 05 Oct 2020
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement Xin Liu Ziheng Jiang Josh Fromm Xuhai Xu Shwetak N. Patel Daniel J. McDuff 28 3 0 05 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 22 40 0 02 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization Yangbin Chen Yun Ma Tom Ko Jianping Wang Qing Li VLM 28 8 0 29 Sep 2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning Yaohua Liu Risheng Liu 25 10 0 28 Sep 2020
A Meta-learning based Distribution System Load Forecasting Model Selection Framework Yiyan Li Si Zhang R. Hu N. Lu 13 22 0 25 Sep 2020
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time Ferran Alet Maria Bauza Kenji Kawaguchi Nurullah Giray Kuru Tomas Lozano-Perez L. Kaelbling AI4CE 30 17 0 22 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 30 562 0 16 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 48 609 0 10 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 14 47 0 06 Sep 2020
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction Ziyi Yang Jun Shu Yong Liang Deyu Meng Zongben Xu 6 2 0 02 Sep 2020
Neural Descent for Visual 3D Human Pose and Shape Andrei Zanfir Eduard Gabriel Bazavan M. Zanfir William T. Freeman Rahul Sukthankar C. Sminchisescu 3DH 32 65 0 16 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 21 17 0 11 Aug 2020
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles A. Cichocki Alexander P. Kuleshov 13 0 0 07 Aug 2020
I-AID: Identifying Actionable Information from Disaster-related Tweets Hamada M. Zahera Rricha Jalota M. A. Sherif A. N. Ngomo 16 13 0 04 Aug 2020
A Foliated View of Transfer Learning Janith C. Petangoda Nick A. M. Monk M. Deisenroth 25 3 0 02 Aug 2020
Universality of Gradient Descent Neural Network Training G. Welper 16 7 0 27 Jul 2020
Learning Variational Data Assimilation Models and Solvers Ronan Fablet Bertrand Chapron Lucas Drumetz É. Mémin O. Pannekoucke F. Rousseau 6 67 0 25 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey Wenpeng Yin 18 77 0 19 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons P. Micaelli Amos Storkey 13 15 0 15 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray L. Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 15 610 0 14 Jul 2020
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network Ademola Oladosu Tony Xu Philip Ekfeldt Brian A. Kelly M. Cranmer S. Ho A. Price-Whelan Gabriella Contardo 11 1 0 08 Jul 2020
Meta-active Learning in Probabilistically-Safe Optimization Mariah L. Schrum M. Connolly Eric R. Cole Mihir Ghetiya R. Gross Matthew C. Gombolay 26 12 0 07 Jul 2020