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1606.04080
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Matching Networks for One Shot Learning
13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
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Papers citing
"Matching Networks for One Shot Learning"
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Title
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2024
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
549
1
0
21 Dec 2024
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Bharadwaj Ravichandran
Alexander Lynch
S. Brockman
Brandon RichardWebster
Dawei Du
A. Hoogs
Christopher Funk
ObjD
VLM
323
0
0
20 Dec 2024
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Hongye Xu
Jan Wasilewski
Bartosz Krawczyk
CLL
342
0
0
19 Dec 2024
Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules
Andrew Pyo
Yuta Nagano
Martina Milighetti
James Henderson
Curtis G. Callan Jr.
Benny Chain
Ned S. Wingreen
Andreas Tiffeau-Mayer
246
0
0
18 Dec 2024
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
Shizhuo Deng
Bowen Han
Jiaqi Chen
Hao Wang
Dongyue Chen
Tong Jia
VLM
NoLa
292
1
0
17 Dec 2024
Aspect-Based Few-Shot Learning
IFIP Working Conference on Database Semantics (IWDS), 2024
Tim van Engeland
Lu Yin
Vlado Menkovski
262
0
0
17 Dec 2024
Memory-Reduced Meta-Learning with Guaranteed Convergence
AAAI Conference on Artificial Intelligence (AAAI), 2024
Honglin Yang
Ji Ma
Xiao Yu
245
0
0
16 Dec 2024
SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation
Xudong Zhou
Wenhao He
VLM
141
0
0
15 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
Pengfei Fang
Yongchun Qin
H. Xue
CLL
287
0
0
15 Dec 2024
Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Junno Yun
Mehmet Akçakaya
308
0
0
06 Dec 2024
Multi-Level Correlation Network For Few-Shot Image Classification
IEEE International Conference on Multimedia and Expo (ICME), 2023
Yunkai Dang
Hao Fei
Ruihao Zhang
Xinliang Zhang
Zheng Wang
Meijun Sun
Donglin Wang
324
3
0
04 Dec 2024
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models
Yi Liao
Yongsheng Gao
Weichuan Zhang
221
0
0
02 Dec 2024
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting
Linhai Zhuo
Zheng Wang
Yuqian Fu
Tianwen Qian
VLM
341
6
0
01 Dec 2024
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection
International Conference on Computational Linguistics (COLING), 2024
Ayoub Hammal
Benno Uthayasooriyar
Caio Corro
327
0
0
30 Nov 2024
HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation
Lingxiao Li
Kaixuan Fan
Boqing Gong
Xiangyu Yue
DiffM
307
0
0
27 Nov 2024
Context-Aware Multimodal Pretraining
Computer Vision and Pattern Recognition (CVPR), 2024
Karsten Roth
Zeynep Akata
Dima Damen
Ivana Balazevic
Olivier J. Hénaff
VLM
291
3
0
22 Nov 2024
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals
Hussni Mohd Zakir
Eric Tatt Wei Ho
VLM
208
0
0
21 Nov 2024
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Artificial Intelligence Review (Artif Intell Rev), 2024
Pablo Moriano
Steven C. Hespeler
Mingyan Li
Maria Mahbub
AAML
385
12
0
21 Nov 2024
Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition
Hanyu Guo
Wanchuan Yu
Suzhou Que
Kaiwen Du
Yan Yan
Hanzi Wang
358
2
0
18 Nov 2024
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
Neural Networks (NN), 2024
Dunwei Tu
Huiyu Yi
T. Zhang
Ruotong Li
Furao Shen
Jian Zhao
CLL
230
0
0
14 Nov 2024
Neuromodulated Meta-Learning
Wenwen Qiang
Huijie Guo
Jingyao Wang
Jiangmeng Li
Changwen Zheng
Hui Xiong
Gang Hua
291
1
0
11 Nov 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling
Neural Information Processing Systems (NeurIPS), 2024
Junyi Li
Heng Huang
204
1
0
07 Nov 2024
Stepping Forward on the Last Mile
Neural Information Processing Systems (NeurIPS), 2024
Chen Feng
Shaojie Zhuo
Xiaopeng Zhang
R. Ramakrishnan
Zhaocong Yuan
Andrew Zou Li
357
0
0
06 Nov 2024
Detect an Object At Once without Fine-tuning
Junyu Hao
Jianheng Liu
Yongjia Zhao
Zuofan Chen
Qi Sun
Jinlong Chen
Jianguo Wei
Minghao Yang
ObjD
239
1
0
04 Nov 2024
Robust Neural Processes for Noisy Data
Chen Shapira
Dan Rosenbaum
284
2
0
03 Nov 2024
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis
Xinyu Geng
Jiaming Wang
Jun Xu
MedIm
215
1
0
03 Nov 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
242
6
0
03 Nov 2024
Covariance-based Space Regularization for Few-shot Class Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Yijie Hu
Guanyu Yang
Zhaorui Tan
Xiaowei Huang
K. Huang
Qiu-Feng Wang
CLL
211
2
0
02 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Neural Information Processing Systems (NeurIPS), 2024
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Shu Wu
198
4
0
02 Nov 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
251
5
0
30 Oct 2024
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
Neural Information Processing Systems (NeurIPS), 2024
Jintao Tong
Yixiong Zou
Yuhua Li
Ruixuan Li
230
15
0
29 Oct 2024
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
International Conference on Learning Representations (ICLR), 2024
Zhaochong An
Guolei Sun
Yun Liu
Runjia Li
Min Wu
Ming-Ming Cheng
Ender Konukoglu
Serge Belongie
365
15
0
29 Oct 2024
Meta-Learning with Heterogeneous Tasks
Zhaofeng Si
Shu Hu
Kaiyi Ji
Siwei Lyu
175
2
0
24 Oct 2024
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation
Ruting Chi
Zhiyi Huang
Yuexing Han
ISeg
209
0
0
21 Oct 2024
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
Jeaung Lee
Jeewoo Lim
Keunho Byeon
Jin Tae Kwak
173
11
0
21 Oct 2024
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer
International Conference on Pattern Recognition (ICPR), 2024
K. Bhaumik
Minha Kim
Fahim Faisal Niloy
A. Ali
Simon S. Woo
AI4TS
118
2
0
21 Oct 2024
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
Yao Shen
Ziwei Wei
Chunmeng Liu
Shuming Wei
Qi Zhao
Kaiyang Zeng
Guangyao Li
VLM
149
3
0
16 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
221
2
0
16 Oct 2024
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
Hossein Abdi
Mingfei Sun
Andi Zhang
Samuel Kaski
Wei Pan
187
1
0
15 Oct 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xinyue Liu
Yunlong Gao
Linlin Zong
Bo Xu
VLM
194
2
0
14 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Minyoung Kim
Timothy M. Hospedales
BDL
228
1
0
14 Oct 2024
Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement
J. Shtok
Amit Alfassy
Foad Abo Dahood
Eliyahu Schwartz
Sivan Doveh
Assaf Arbelle
LRM
ReLM
200
0
0
14 Oct 2024
Overcoming classic challenges for artificial neural networks by providing incentives and practice
Nature Machine Intelligence (Nat. Mach. Intell.), 2024
Kazuki Irie
Brenden M. Lake
454
8
0
14 Oct 2024
Task Adaptive Feature Distribution Based Network for Few-shot Fine-grained Target Classification
Ping Li
Hongbo Wang
Lei Lu
117
0
0
13 Oct 2024
Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images
Ardhendu Sekhar
Aditya Bhattacharya
Vinayak Goyal
Vrinda Goel
Aditya Bhangale
R. Gupta
Amit Sethi
VLM
148
0
0
11 Oct 2024
On-Chip Learning via Transformer In-Context Learning
International Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2024
Jan Finkbeiner
Emre Neftci
108
0
0
11 Oct 2024
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing
Mengze Hong
Chen Zhang
Wailing Ng
Chen Jason Zhang
159
2
0
08 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
European Conference on Computer Vision (ECCV), 2024
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
190
13
0
08 Oct 2024
Learning to Learn with Contrastive Meta-Objective
Shiguang Wu
Yaqing Wang
Yatao Bian
Quanming Yao
CLL
396
0
0
08 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
84
1
0
04 Oct 2024
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