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2002.12364
Cited By
Theoretical Models of Learning to Learn
27 February 2020
Jonathan Baxter
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Papers citing
"Theoretical Models of Learning to Learn"
50 / 57 papers shown
MetaChest: Generalized few-shot learning of pathologies from chest X-rays
Berenice Montalvo-Lezama
Gibran Fuentes-Pineda
215
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0
29 Sep 2025
Show or Tell? A Benchmark To Evaluate Visual and Textual Prompts in Semantic Segmentation
Gabriele Rosi
Fabio Cermelli
VLM
577
0
0
06 May 2025
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
242
7
0
08 Dec 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Computer Vision and Pattern Recognition (CVPR), 2023
Ondrej Bohdal
Yinbing Tian
Yongshuo Zong
Ruchika Chavhan
Da Li
Henry Gouk
Li Guo
Timothy M. Hospedales
358
9
0
12 May 2023
META-SMGO-
Δ
Δ
Δ
: similarity as a prior in black-box optimization
IEEE Conference on Decision and Control (CDC), 2023
Riccardo Busetto
Valentina Breschi
Simone Formentin
208
0
0
30 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
Computer Vision and Pattern Recognition (CVPR), 2023
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
586
18
0
31 Mar 2023
Explaining the Performance of Multi-label Classification Methods with Data Set Properties
International Journal of Intelligent Systems (IJIS), 2021
Jasmin Bogatinovski
L. Todorovski
Jannis Brugger
D. Kocev
268
6
0
28 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
Proceedings of the IEEE (Proc. IEEE), 2021
Charlotte Frenkel
D. Bol
Giacomo Indiveri
338
63
0
02 Jun 2021
AutoDebias: Learning to Debias for Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Jiawei Chen
Hande Dong
Yang Qiu
Xiangnan He
Xin Xin
Liang Chen
Guli Lin
Keping Yang
CML
680
245
0
10 May 2021
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding
Jiechao Guan
Zhiwu Lu
Tao Xiang
Timothy M. Hospedales
113
0
0
02 Dec 2020
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
278
18
0
03 Nov 2020
Domain Agnostic Learning for Unbiased Authentication
Jian Liang
Yuren Cao
Shuang Li
Bing Bai
Hao Li
Haiwei Yang
Kun Bai
OOD
253
0
0
11 Oct 2020
Understanding Human Intelligence through Human Limitations
Thomas Griffiths
255
96
0
29 Sep 2020
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
KELM
CLL
258
25
0
10 Sep 2020
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning
International Conference on Neural Information Processing (ICONIP), 2020
Lyes Khacef
Vincent Gripon
Benoit Miramond
SSL
151
8
0
04 Sep 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
European Conference on Computer Vision (ECCV), 2020
Yingjun Du
Jun Xu
Huan Xiong
Qiang Qiu
Xiantong Zhen
Cees G. M. Snoek
Ling Shao
BDL
OOD
231
195
0
15 Jul 2020
Meta-Learning with Network Pruning
Hongduan Tian
Bo Liu
Xiaotong Yuan
Qingshan Liu
201
31
0
07 Jul 2020
Continual Learning from the Perspective of Compression
Xu He
Min Lin
CLL
221
3
0
26 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
351
188
0
06 Jun 2020
Training few-shot classification via the perspective of minibatch and pretraining
CAAI International Conference on Artificial Intelligence (ICCAI), 2020
Meiyu Huang
Xueshuang Xiang
Yao Xu
VLM
115
2
0
10 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
European Conference on Computer Vision (ECCV), 2020
Da Li
Timothy M. Hospedales
301
111
0
09 Apr 2020
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes
Hybrid Artificial Intelligence Systems (HAIS), 2020
E.C. Garrido-Merchán
M. Molina
AI4CE
215
11
0
02 Feb 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection
The Web Conference (WWW), 2020
Mi Luo
Fei Chen
Pengxiang Cheng
Zhenhua Dong
Xiuqiang He
Jiashi Feng
Zhenguo Li
402
54
0
22 Jan 2020
Continuous Meta-Learning without Tasks
Neural Information Processing Systems (NeurIPS), 2019
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLL
OOD
390
82
0
18 Dec 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2019
Ximeng Sun
Yikang Shen
Rogerio Feris
Kate Saenko
344
313
0
27 Nov 2019
Predictive modeling of brain tumor: A Deep learning approach
Advances in Intelligent Systems and Computing (AISC), 2019
Priyansh Saxena
Akshat Maheshwari
Saumil Maheshwari
MedIm
535
135
0
06 Nov 2019
How can AI Automate End-to-End Data Science?
Charu C. Aggarwal
Djallel Bouneffouf
Horst Samulowitz
Beat Buesser
T. Hoang
...
Tejaswini Pedapati
Parikshit Ram
Ambrish Rawat
Martin Wistuba
Alexander G. Gray
293
16
0
22 Oct 2019
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning
International Conference on Distributed Artificial Intelligence (DAI), 2019
Haotian Fu
Hongyao Tang
Jianye Hao
Wulong Liu
Chong Chen
173
3
0
30 Sep 2019
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Yu Liu
Lingqiao Liu
Haokui Zhang
S. Hamid Rezatofighi
Ian Reid
VOS
131
9
0
28 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation
IEEE International Conference on Robotics and Automation (ICRA), 2019
Karol Arndt
Murtaza Hazara
Ali Ghadirzadeh
Ville Kyrki
273
117
0
16 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
IEEE International Conference on Computer Vision (ICCV), 2019
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
186
95
0
10 Sep 2019
Multi-Task Learning with Language Modeling for Question Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Wenjie Zhou
Minghua Zhang
Yunfang Wu
192
34
0
30 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions
IEEE Signal Processing Magazine (IEEE SPM), 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
1.9K
5,764
0
21 Aug 2019
Learning to design from humans: Imitating human designers through deep learning
Ayush Raina
Christopher McComb
Jonathan Cagan
3DV
AI4CE
207
75
0
26 Jul 2019
A Survey of Optimization Methods from a Machine Learning Perspective
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
Shiliang Sun
Zehui Cao
Han Zhu
Jing Zhao
283
653
0
17 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Liuyu Xiang
Xiaoming Jin
Guiguang Ding
Jungong Han
Leida Li
CLL
263
33
0
02 Jun 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records
Knowledge Discovery and Data Mining (KDD), 2019
Xi Sheryl Zhang
Fengyi Tang
H. H. Dodge
Jiayu Zhou
Fei Wang
218
117
0
08 May 2019
Hierarchical Meta Learning
Yingtian Zou
Jiashi Feng
146
6
0
19 Apr 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Giulia Denevi
C. Ciliberto
Riccardo Grazzi
Massimiliano Pontil
249
114
0
25 Mar 2019
Zero-Shot Task Transfer
Computer Vision and Pattern Recognition (CVPR), 2019
Arghya Pal
V. Balasubramanian
303
53
0
04 Mar 2019
Provable Guarantees for Gradient-Based Meta-Learning
International Conference on Machine Learning (ICML), 2019
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
435
160
0
27 Feb 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
693
1,713
0
15 Nov 2018
ProMP: Proximal Meta-Policy Search
Jonas Rothfuss
Dennis Lee
I. Clavera
Tamim Asfour
Pieter Abbeel
448
222
0
16 Oct 2018
Transfer Metric Learning: Algorithms, Applications and Outlooks
Yong Luo
Yonggang Wen
Ling-Yu Duan
Dacheng Tao
321
11
0
09 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
547
270
0
01 Oct 2018
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks
Neural Processing Letters (NPL), 2018
M. Leontev
V. Islenteva
S. Sukhov
MoMe
FedML
118
24
0
25 Sep 2018
Open-world Learning and Application to Product Classification
Hu Xu
Bing-Quan Liu
Lei Shu
P. Yu
CLL
VLM
246
119
0
17 Sep 2018
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks
Yurui Qu
Li Jing
Yichen Shen
Min Qiu
Marin Soljacic
MedIm
AI4CE
223
107
0
27 Aug 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Goran Frehse
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
296
56
0
28 May 2018
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
755
1,358
0
23 Apr 2018
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