A Survey of Deep Meta-Learning

7 October 2020

Jan N. van Rijn

Papers citing "A Survey of Deep Meta-Learning"

29 / 29 papers shown

Title
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
Transfer learning via Regularized Linear Discriminant Analysis Hongzhe Zhang Arnab Auddy Hongzhe Lee 35 0 0 05 Jan 2025
Meta Curvature-Aware Minimization for Domain Generalization Zhaoyu Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 218 1 0 16 Dec 2024
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 35 0 0 10 Oct 2024
Survey of Computerized Adaptive Testing: A Machine Learning Perspective Qi Liu Zhuang Yan Haoyang Bi Zhenya Huang Weizhe Huang ... Z. Pardos Haiping Ma Mengxiao Zhu Shijin Wang Enhong Chen AI4Ed 49 9 0 31 Mar 2024
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 43 9 0 09 Oct 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 43 7 0 17 May 2023
CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval Yang Yang Zhongtian Fu Xiangyu Wu Wenjie Li VLM 21 1 0 15 Apr 2023
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization WenPing Jin Fei-Yu Guo Li Zhu ViT MedIm 40 1 0 30 Mar 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 26 32 0 16 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning Wenqi Ren Qiyu Sun Chaoqiang Zhao Yang Tang 29 3 0 14 Nov 2022
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? Théo Morales G. Lacey OOD 35 0 0 31 Oct 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition Jingbo Wang Chengcheng Han Chengyu Wang Chuanqi Tan Minghui Qiu Songfang Huang Jun Huang Ming Gao 30 21 0 17 Oct 2022
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems Daniel G. McClement Nathan P. Lawrence M. Forbes Philip D. Loewen Johan U. Backstrom R. Bhushan Gopaluni OffRL 19 1 0 19 Sep 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 24 2 0 28 Apr 2022
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach Daniel G. McClement Nathan P. Lawrence Johan U. Backstrom Philip D. Loewen M. Forbes R. Bhushan Gopaluni OffRL 21 22 0 17 Mar 2022
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 20 7 0 01 Feb 2022
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 62 54 0 28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 50 53 0 28 Sep 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 32 7 0 21 Apr 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 50 111 0 02 Dec 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 222 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016