Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.00209
Cited By
v1
v2 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Meta-Learning with Adaptive Hyperparameters"
50 / 62 papers shown
LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
Youssef Attia El Hili
Albert Thomas
Malik Tiomoko
Abdelhakim Benechehab
Corentin Léger
Corinne Ancourt
Balázs Kégl
345
1
0
30 Oct 2025
Curvature Learning for Generalization of Hyperbolic Neural Networks
International Journal of Computer Vision (IJCV), 2025
Xiaomeng Fan
Yuwei Wu
Zhi Gao
Mehrtash Harandi
Yunde Jia
340
3
0
24 Aug 2025
Few-Shot Learning in Video and 3D Object Detection: A Survey
Md Meftahul Ferdaus
Kendall N. Niles
Joe Tom
Mahdi Abdelguerfi
Elias Ioup
3DPC
265
2
0
22 Jul 2025
Hyperbolic Dual Feature Augmentation for Open-Environment
Peilin Yu
Yuwei Wu
Zhi Gao
Xiaomeng Fan
Shuo Yang
Yunde Jia
289
1
0
10 Jun 2025
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
Hanyu Duan
Yi Yang
Ahmed Abbasi
Kar Yan Tam
MU
OnRL
310
1
0
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
Chenghao Xiao
Hou Pong Chan
Hao Zhang
Mahani Aljunied
Lidong Bing
Noura Al Moubayed
Yu Rong
525
0
0
18 Apr 2025
Online Meta-learning for AutoML in Real-time (OnMAR)
Mia Gerber
Anna Sergeevna Bosman
J. D. Villiers
OffRL
305
0
0
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
783
28
0
28 Jan 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
343
0
0
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
386
6
0
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
548
24
0
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
329
8
0
03 Nov 2024
Meta-Learning with Heterogeneous Tasks
Zhaofeng Si
Shu Hu
Kaiyi Ji
Siwei Lyu
347
2
0
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
378
3
0
16 Oct 2024
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
319
2
0
12 Jun 2024
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
246
3
0
29 May 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
Maofa Wang
Bingchen Yan
248
0
0
24 Jan 2024
Dataset Distillation via Adversarial Prediction Matching
Yin Hua
Bo Huang
Junda Lu
Bing Li
Yi Wang
Minhao Cheng
Wei Wang
DD
290
9
0
14 Dec 2023
Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis
Javier Masís
Andrew M. Saxe
255
4
0
30 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
293
3
0
04 Oct 2023
FedL2P: Federated Learning to Personalize
Neural Information Processing Systems (NeurIPS), 2023
Royson Lee
Minyoung Kim
Da Li
Xinchi Qiu
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
FedML
172
0
0
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
475
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
172
1
0
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
567
89
0
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
337
14
0
13 Jul 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
Minghe Zhang
Chaosheng Dong
Jinmiao Fu
Tianchen Zhou
Jia Liang
...
Bo Liu
Michinari Momma
Bryan Wang
Yan Gao
Yi Sun
231
3
0
19 Jun 2023
HUB: Guiding Learned Optimizers with Continuous Prompt Tuning
Gaole Dai
Wei Wu
Ziyu Wang
Jie Fu
Shanghang Zhang
Tiejun Huang
AIFin
246
0
0
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
LRM
404
16
0
10 May 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning
Sang-Hoon Lee
Seunghyun Lee
B. Song
265
0
0
21 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
282
8
0
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
387
28
0
04 Apr 2023
Meta-Learning Adaptive Loss Functions
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
279
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
317
79
0
28 Jan 2023
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
11
0
18 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
355
3
0
04 Jan 2023
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
384
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
VLM
271
1
0
19 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Journal of machine learning research (JMLR), 2022
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
440
68
0
13 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
269
6
0
05 Oct 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
International Conference on Machine Learning (ICML), 2022
Konstantinos Kalais
S. Chatzis
BDL
298
10
0
02 Aug 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
ACM Multimedia (ACM MM), 2022
Bo Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Ding Wang
ViT
301
44
0
02 Jul 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Knowledge Discovery and Data Mining (KDD), 2022
Yi Yang
Yanqiao Zhu
Hejie Cui
Xuan Kan
Lifang He
Ying Guo
Carl Yang
200
35
0
09 Jun 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Computer Vision and Pattern Recognition (CVPR), 2022
S. Hu
Da Li
Jan Stuhmer
Minyoung Kim
Timothy M. Hospedales
390
253
0
15 Apr 2022
Interval Bound Interpolation for Few-shot Learning with Few Tasks
International Conference on Machine Learning (ICML), 2022
Shounak Datta
S. S. Mullick
A. Chakrabarty
Swagatam Das
459
4
0
07 Apr 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Deepshikha Pandey
Qi Yu
UQCV
254
15
0
23 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning
Baoquan Zhang
Hao Jiang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
352
5
0
03 Mar 2022
Meta Knowledge Distillation
Jihao Liu
Boxiao Liu
Jiaming Song
Yu Liu
353
33
0
16 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
338
100
0
07 Feb 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Yuying Ge
Yibing Song
Ruimao Zhang
Ping Luo
VGen
DiffM
164
0
0
13 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
545
30
0
16 Dec 2021
1
2
Next
Page 1 of 2
