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1902.03356
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Meta-Curvature
Neural Information Processing Systems (NeurIPS), 2019
9 February 2019
Eunbyung Park
Junier B. Oliva
BDL
Re-assign community
ArXiv (abs)
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Papers citing
"Meta-Curvature"
50 / 83 papers shown
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
Christos Sgouropoulos
Christos Nikou
Stefanos Vlachos
Vasileios Theiou
Christos Foukanelis
Theodoros Giannakopoulos
VLM
154
0
0
12 Sep 2025
Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning
Yilang Zhang
Bingcong Li
G. Giannakis
188
0
0
02 Sep 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao
Xin Wang
Jianlong Wu
David A. Clifton
280
0
0
25 May 2025
CAMEx: Curvature-aware Merging of Experts
International Conference on Learning Representations (ICLR), 2025
Dung V. Nguyen
Minh H. Nguyen
Luc Q. Nguyen
R. Teo
T. Nguyen
Linh Duy Tran
MoMe
356
6
0
26 Feb 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence
AAAI Conference on Artificial Intelligence (AAAI), 2024
Honglin Yang
Ji Ma
Xiao Yu
290
1
0
16 Dec 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
Neural Information Processing Systems (NeurIPS), 2024
Yiqin Lv
Qi Wang
Dong Liang
Zheng Xie
294
5
0
30 Oct 2024
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification
International Workshop on Machine Learning for Signal Processing (MLSP), 2024
Xuanyu Zhuang
Geoffroy Peeters
Gaël Richard
130
1
0
04 Oct 2024
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks
Alfredo Reichlin
Gustaf Tegnér
Miguel Vasco
Hang Yin
Mårten Björkman
Danica Kragic
238
0
0
02 Oct 2024
Black box meta-learning intrinsic rewards for sparse-reward environments
Octavio Pappalardo
Rodrigo Ramele
Juan Miguel Santos
OffRL
288
1
0
31 Jul 2024
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios
Filip Stanek
AI4TS
213
0
0
29 Jul 2024
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
291
2
0
12 Jun 2024
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
Yilang Zhang
Bingcong Li
G. Giannakis
311
1
0
20 Dec 2023
Are LSTMs Good Few-Shot Learners?
Machine-mediated learning (ML), 2023
Mike Huisman
Thomas M. Moerland
Aske Plaat
Jan N. van Rijn
VLM
202
15
0
22 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning
Machine-mediated learning (ML), 2023
Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
226
4
0
13 Oct 2023
A Meta-Learning Perspective on Transformers for Causal Language Modeling
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Xinbo Wu
Lav Varshney
304
8
0
09 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
Neural Information Processing Systems (NeurIPS), 2023
Junhoo Lee
Jayeon Yoo
Nojun Kwak
248
2
0
04 Oct 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
464
75
0
31 Jul 2023
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes
Luca Sabbioni
Francesco Corda
Marcello Restelli
183
0
0
13 Jun 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
309
8
0
12 May 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection
Computer Vision and Pattern Recognition (CVPR), 2023
B. Demirel
Orhun Bugra Baran
R. G. Cinbis
255
20
0
24 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Computer Vision and Pattern Recognition (CVPR), 2023
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
310
25
0
04 Apr 2023
Meta-Learning Adaptive Loss Functions
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
235
5
0
30 Jan 2023
A Closer Look at Few-shot Classification Again
International Conference on Machine Learning (ICML), 2023
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
267
71
0
28 Jan 2023
Transformers learn in-context by gradient descent
International Conference on Machine Learning (ICML), 2022
J. Oswald
Eyvind Niklasson
E. Randazzo
João Sacramento
A. Mordvintsev
A. Zhmoginov
Max Vladymyrov
MLT
494
644
0
15 Dec 2022
Transformer-Based Learned Optimization
Computer Vision and Pattern Recognition (CVPR), 2022
Erik Gartner
Luke Metz
Mykhaylo Andriluka
C. Freeman
C. Sminchisescu
662
18
0
02 Dec 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Peter Henderson
E. Mitchell
Christopher D. Manning
Dan Jurafsky
Chelsea Finn
241
62
0
27 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups
Neural Information Processing Systems (NeurIPS), 2022
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles Ling
Tal Arbel
Boyu Wang
Christian Gagné
256
48
0
19 Oct 2022
Learning to Optimize Quasi-Newton Methods
Isaac Liao
Rumen Dangovski
Jakob N. Foerster
Marin Soljacic
276
4
0
11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
220
4
0
07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
British Machine Vision Conference (BMVC), 2022
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
199
4
0
05 Oct 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang
Tianlin Li
Bo Jiang
Bin Luo
295
58
0
26 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy
C. Pal
Gonçalo Mordido
Sarath Chandar
230
4
0
03 Aug 2022
On the Subspace Structure of Gradient-Based Meta-Learning
Gustaf Tegnér
Alfredo Reichlin
Hang Yin
Mårten Björkman
Danica Kragic
242
0
0
08 Jul 2022
Channel Importance Matters in Few-Shot Image Classification
International Conference on Machine Learning (ICML), 2022
Xu Luo
Jing Xu
Zenglin Xu
VLM
257
56
0
16 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Markus Hiller
Mehrtash Harandi
Tom Drummond
AI4CE
144
9
0
15 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
International Conference on Machine Learning (ICML), 2022
Momin Abbas
Quan-Wu Xiao
Lisha Chen
Pin-Yu Chen
Tianyi Chen
477
99
0
08 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space
M. Gauch
M. Beck
Thomas Adler
D. Kotsur
Stefan Fiel
...
Markus Holzleitner
Werner Zellinger
D. Klotz
Sepp Hochreiter
Sebastian Lehner
185
11
0
07 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
International Conference on Machine Learning (ICML), 2022
Dong Chen
Lingfei Wu
Siliang Tang
Xiao Yun
Bo Long
Yueting Zhuang
VLM
NoLa
195
12
0
04 Jun 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Neural Information Processing Systems (NeurIPS), 2022
Daiki Chijiwa
Shin'ya Yamaguchi
Atsutoshi Kumagai
Yasutoshi Ida
283
11
0
31 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
374
575
0
13 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
International Conference on Learning Representations (ICLR), 2022
Jiajun He
Austin Tripp
José Miguel Hernández-Lobato
418
27
0
05 May 2022
Meta-free few-shot learning via representation learning with weight averaging
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Kuilin Chen
Chi-Guhn Lee
199
6
0
26 Apr 2022
MetaAudio: A Few-Shot Audio Classification Benchmark
International Conference on Artificial Neural Networks (ICANN), 2022
Calum Heggan
S. Budgett
Timothy M. Hospedales
Mehrdad Yaghoobi
VLM
215
43
0
05 Apr 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence
Boyan Gao
Henry Gouk
Haebeom Lee
Timothy M. Hospedales
206
8
0
05 Mar 2022
Amortized Proximal Optimization
Neural Information Processing Systems (NeurIPS), 2022
Juhan Bae
Paul Vicol
Jeff Z. HaoChen
Roger C. Grosse
ODL
330
15
0
28 Feb 2022
Fully Online Meta-Learning Without Task Boundaries
Jathushan Rajasegaran
Chesea Finn
Sergey Levine
CLL
171
4
0
01 Feb 2022
Learning where to learn: Gradient sparsity in meta and continual learning
J. Oswald
Dominic Zhao
Seijin Kobayashi
Simon Schug
Massimo Caccia
Nicolas Zucchet
João Sacramento
CLL
208
56
0
27 Oct 2021
On sensitivity of meta-learning to support data
Mayank Agarwal
Mikhail Yurochkin
Yuekai Sun
200
22
0
26 Oct 2021
Fast Model Editing at Scale
International Conference on Learning Representations (ICLR), 2021
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
1.0K
469
0
21 Oct 2021
Online Hyperparameter Meta-Learning with Hypergradient Distillation
Haebeom Lee
Hayeon Lee
Jaewoong Shin
Eunho Yang
Timothy M. Hospedales
Sung Ju Hwang
DD
279
5
0
06 Oct 2021
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