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2011.00209
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Meta-Learning with Adaptive Hyperparameters
Neural Information Processing Systems (NeurIPS), 2020
31 October 2020
Sungyong Baik
Myungsub Choi
Janghoon Choi
Heewon Kim
Kyoung Mu Lee
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Papers citing
"Meta-Learning with Adaptive Hyperparameters"
50 / 62 papers shown
LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
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Curvature Learning for Generalization of Hyperbolic Neural Networks
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Yuwei Wu
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Few-Shot Learning in Video and 3D Object Detection: A Survey
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Joe Tom
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Elias Ioup
3DPC
272
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Hyperbolic Dual Feature Augmentation for Open-Environment
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296
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10 Jun 2025
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
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Yi Yang
Ahmed Abbasi
Kar Yan Tam
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OnRL
317
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16 May 2025
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
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Hou Pong Chan
Hao Zhang
Mahani Aljunied
Lidong Bing
Noura Al Moubayed
Yu Rong
529
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18 Apr 2025
Online Meta-learning for AutoML in Real-time (OnMAR)
Mia Gerber
Anna Sergeevna Bosman
J. D. Villiers
OffRL
307
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27 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
The international journal of robotics research (IJRR), 2024
Chen Wang
Kaiyi Ji
Shaoshu Su
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
816
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28 Jan 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
345
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21 Jan 2025
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
IEEE transactions on multimedia (IEEE TMM), 2024
Jiaqi Ma
Guo-Sen Xie
Fang Zhao
Zechao Li
388
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23 Dec 2024
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
International Conference on Learning Representations (ICLR), 2024
Weihao Zeng
Yuzhen Huang
Lulu Zhao
Yijun Wang
Zifei Shan
Junxian He
LRM
552
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23 Dec 2024
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
Neural Information Processing Systems (NeurIPS), 2024
Fei Zhou
Peng Wang
Lei Zhang
Zhaoyu Chen
Wei Wei
Chen Ding
Guosheng Lin
Yanning Zhang
337
8
0
03 Nov 2024
Meta-Learning with Heterogeneous Tasks
Zhaofeng Si
Shu Hu
Kaiyi Ji
Siwei Lyu
352
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24 Oct 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Neural Information Processing Systems (NeurIPS), 2024
Hongduan Tian
Feng Liu
Zhanke Zhou
Tongliang Liu
Chengqi Zhang
Bo Han
VLM
391
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16 Oct 2024
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
325
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MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian
Yifan Zhang
Tongliang Liu
Bo Du
Yiu-ming Cheung
Bo Han
249
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LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
Maofa Wang
Bingchen Yan
249
0
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24 Jan 2024
Dataset Distillation via Adversarial Prediction Matching
Yin Hua
Bo Huang
Junda Lu
Bing Li
Yi Wang
Minhao Cheng
Wei Wang
DD
291
9
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14 Dec 2023
Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis
Javier Masís
Andrew M. Saxe
257
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30 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
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Junhoo Lee
Jayeon Yoo
Nojun Kwak
294
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FedL2P: Federated Learning to Personalize
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Royson Lee
Minyoung Kim
Da Li
Xinchi Qiu
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
FedML
174
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03 Oct 2023
LFS-GAN: Lifelong Few-Shot Image Generation
IEEE International Conference on Computer Vision (ICCV), 2023
Juwon Seo
Jingwen Kang
Gyeong-Moon Park
CLL
478
21
0
23 Aug 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
European Conference on Artificial Intelligence (ECAI), 2023
Junyi Wang
Yuanyang Zhu
Zhi Wang
Yan Zheng
Jianye Hao
Chun-Han Chen
OffRL
181
1
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01 Aug 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
570
91
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31 Jul 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks
Applied Soft Computing (Appl. Soft Comput.), 2023
Sriprabha Ramanarayanan
Arun Palla
Keerthi Ram
M. Sivaprakasam
341
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13 Jul 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
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Chaosheng Dong
Jinmiao Fu
Tianchen Zhou
Jia Liang
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Bo Liu
Michinari Momma
Bryan Wang
Yan Gao
Yi Sun
236
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19 Jun 2023
HUB: Guiding Learned Optimizers with Continuous Prompt Tuning
Gaole Dai
Wei Wu
Ziyu Wang
Jie Fu
Shanghang Zhang
Tiejun Huang
AIFin
255
0
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26 May 2023
RECKONING: Reasoning through Dynamic Knowledge Encoding
Neural Information Processing Systems (NeurIPS), 2023
Zeming Chen
Gail Weiss
E. Mitchell
Asli Celikyilmaz
Antoine Bosselut
KELM
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407
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10 May 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning
Sang-Hoon Lee
Seunghyun Lee
B. Song
272
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LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
283
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13 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
396
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Meta-Learning Adaptive Loss Functions
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Qi Chen
Bing Xue
Mengjie Zhang
286
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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
320
79
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Improve Noise Tolerance of Robust Loss via Noise-Awareness
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Kehui Ding
Jun Shu
Deyu Meng
Zongben Xu
NoLa
302
12
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18 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
362
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Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
386
24
0
03 Jan 2023
LAVA: Label-efficient Visual Learning and Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
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272
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Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Journal of machine learning research (JMLR), 2022
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
448
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BaseTransformers: Attention over base data-points for One Shot Learning
British Machine Vision Conference (BMVC), 2022
Mayug Maniparambil
Kevin McGuinness
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275
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Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
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Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
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Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
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203
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Da Li
Jan Stuhmer
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Timothy M. Hospedales
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Interval Bound Interpolation for Few-shot Learning with Few Tasks
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Shounak Datta
S. S. Mullick
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Swagatam Das
465
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256
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Hao Jiang
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