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Meta-Curvature
v1v2v3 (latest)

Meta-Curvature

Neural Information Processing Systems (NeurIPS), 2019
9 February 2019
Eunbyung Park
Junier B. Oliva
    BDL
ArXiv (abs)PDFHTML

Papers citing "Meta-Curvature"

33 / 83 papers shown
Title
Towards Gradient-based Bilevel Optimization with Non-convex Followers
  and Beyond
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu
Yaohua Liu
Shangzhi Zeng
Jin Zhang
314
95
0
01 Oct 2021
Bootstrapped Meta-Learning
Bootstrapped Meta-LearningInternational Conference on Learning Representations (ICLR), 2021
Sebastian Flennerhag
Yannick Schroecker
Tom Zahavy
Hado van Hasselt
David Silver
Satinder Singh
143
60
0
09 Sep 2021
Transductive Few-Shot Classification on the Oblique Manifold
Transductive Few-Shot Classification on the Oblique ManifoldIEEE International Conference on Computer Vision (ICCV), 2021
Guodong Qi
Huimin Yu
Zhaohui Lu
Shuzhao Li
178
50
0
09 Aug 2021
Uniform Sampling over Episode Difficulty
Uniform Sampling over Episode Difficulty
Sébastien M. R. Arnold
Guneet Singh Dhillon
Avinash Ravichandran
Stefano Soatto
156
14
0
03 Aug 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2021
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
359
100
0
16 Jul 2021
A Channel Coding Benchmark for Meta-Learning
A Channel Coding Benchmark for Meta-Learning
Rui Li
Ondrej Bohdal
Rajesh K. Mishra
Hyeji Kim
Da Li
Nicholas D. Lane
Timothy M. Hospedales
242
9
0
15 Jul 2021
Meta-Learning with Fewer Tasks through Task Interpolation
Meta-Learning with Fewer Tasks through Task InterpolationInternational Conference on Learning Representations (ICLR), 2021
Huaxiu Yao
Linjun Zhang
Chelsea Finn
231
63
0
04 Jun 2021
Stateless Neural Meta-Learning using Second-Order Gradients
Stateless Neural Meta-Learning using Second-Order GradientsMachine-mediated learning (ML), 2021
Mike Huisman
Aske Plaat
Jan N. van Rijn
110
7
0
21 Apr 2021
On Learning the Geodesic Path for Incremental Learning
On Learning the Geodesic Path for Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021
Christian Simon
Piotr Koniusz
Mehrtash Harandi
CLL
213
143
0
17 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning
Embedding Adaptation is Still Needed for Few-Shot Learning
Sébastien M. R. Arnold
Fei Sha
VLM
239
7
0
15 Apr 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
ORBIT: A Real-World Few-Shot Dataset for Teachable Object RecognitionIEEE International Conference on Computer Vision (ICCV), 2021
Daniela Massiceti
L. Zintgraf
J. Bronskill
Lida Theodorou
Matthew Tobias Harris
Edward Cutrell
C. Morrison
Katja Hofmann
Simone Stumpf
398
49
0
08 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-Shot Incremental Learning with Continually Evolved ClassifiersComputer Vision and Pattern Recognition (CVPR), 2021
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
306
376
0
07 Apr 2021
MetaDelta: A Meta-Learning System for Few-shot Image Classification
MetaDelta: A Meta-Learning System for Few-shot Image Classification
Yudong Chen
Chaoyu Guan
Zhikun Wei
Xin Eric Wang
Wenwu Zhu
VLM
108
21
0
22 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and BeyondIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
476
266
0
27 Jan 2021
Personalized Adaptive Meta Learning for Cold-start User Preference
  Prediction
Personalized Adaptive Meta Learning for Cold-start User Preference PredictionAAAI Conference on Artificial Intelligence (AAAI), 2020
Runsheng Yu
Yu Gong
Xu He
Bo An
Yu Zhu
Qingwen Liu
Wenwu Ou
92
70
0
22 Dec 2020
Meta-Learning with Adaptive Hyperparameters
Meta-Learning with Adaptive HyperparametersNeural Information Processing Systems (NeurIPS), 2020
Sungyong Baik
Myungsub Choi
Janghoon Choi
Heewon Kim
Kyoung Mu Lee
319
146
0
31 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks
Meta-learning the Learning Trends Shared Across TasksBritish Machine Vision Conference (BMVC), 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
106
8
0
19 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning
  Theory
Improving Few-Shot Learning through Multi-task Representation Learning TheoryEuropean Conference on Computer Vision (ECCV), 2020
Quentin Bouniot
I. Redko
Romaric Audigier
Angélique Loesch
Amaury Habrard
197
11
0
05 Oct 2020
A Markov Decision Process Approach to Active Meta Learning
A Markov Decision Process Approach to Active Meta Learning
Bingjia Wang
Alec Koppel
Vikram Krishnamurthy
75
1
0
10 Sep 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
324
28
0
18 Aug 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
MLR-SNet: Transferable LR Schedules for Heterogeneous TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jun Shu
Yanwen Zhu
Qian Zhao
Zongben Xu
Deyu Meng
271
8
0
29 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task AugmentationInternational Conference on Machine Learning (ICML), 2020
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Ruoyao Xiao
356
93
0
26 Jul 2020
Meta-Learning Symmetries by Reparameterization
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
292
104
0
06 Jul 2020
Global Convergence and Generalization Bound of Gradient-Based
  Meta-Learning with Deep Neural Nets
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets
Haoxiang Wang
Tian Ding
Bo Li
MLTAI4CE
205
14
0
25 Jun 2020
Meta Learning as Bayes Risk Minimization
Meta Learning as Bayes Risk Minimization
S. Maeda
Toshiki Nakanishi
Masanori Koyama
BDL
67
1
0
02 Jun 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
693
2,368
0
11 Apr 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
383
119
0
17 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
408
154
0
15 Mar 2020
When MAML Can Adapt Fast and How to Assist When It Cannot
When MAML Can Adapt Fast and How to Assist When It Cannot
Sébastien M. R. Arnold
Shariq Iqbal
Fei Sha
195
5
0
30 Oct 2019
Model-Agnostic Meta-Learning using Runge-Kutta Methods
Model-Agnostic Meta-Learning using Runge-Kutta Methods
Daniel Jiwoong Im
Yibo Jiang
Nakul Verma
163
4
0
16 Oct 2019
Meta-Neighborhoods
Meta-NeighborhoodsNeural Information Processing Systems (NeurIPS), 2019
Siyuan Shan
Yang Li
Junier Oliva
255
16
0
18 Sep 2019
Modular Meta-Learning with Shrinkage
Modular Meta-Learning with ShrinkageNeural Information Processing Systems (NeurIPS), 2019
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELMOffRL
222
35
0
12 Sep 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient DescentInternational Conference on Learning Representations (ICLR), 2019
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
381
220
0
30 Aug 2019
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