Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,267 papers shown

Title
Domain Generalization via Selective Consistency Regularization for Time Series Classification Wenyu Zhang Mohamed Ragab Chuan-Sheng Foo OOD AI4TS 27 2 0 16 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 43 12 0 15 Jun 2022
Self-Supervised Implicit Attention: Guided Attention by The Model Itself Jinyi Wu Xun Gong Zhemin Zhang 21 1 0 15 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 37 55 0 15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 41 8 0 15 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 44 5 0 14 Jun 2022
Self-Supervised Pretraining for Differentially Private Learning Arash Asadian Evan Weidner Lei Jiang PICV 32 3 0 14 Jun 2022
Transformers are Meta-Reinforcement Learners Luckeciano C. Melo OffRL 43 50 0 14 Jun 2022
Memory-Based Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Christopher D. Manning Chelsea Finn KELM 40 324 0 13 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase K. Khabarlak 19 1 0 13 Jun 2022
Feature-informed Embedding Space Regularization For Audio Classification Yun-Ning Hung Alexander Lerch 27 5 0 10 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 40 27 0 10 Jun 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 43 16 0 09 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 43 39 0 08 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 44 5 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 51 9 0 07 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 36 9 0 04 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models Yi-Chuan Liang J. Tenenbaum T. Le N. Siddharth 23 7 0 03 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 25 1 0 30 May 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang Xiaojian Ma Weili Nie Zhiding Yu Yuke Zhu Song-Chun Zhu Anima Anandkumar VLM 28 36 0 27 May 2022
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection Chendong Zhao Jianzong Wang LeiLai Li Xiaoyang Qu Jing Xiao 62 10 0 24 May 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 40 5 0 23 May 2022
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity Thomas Limbacher Ozan Özdenizci Robert Legenstein 21 2 0 23 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 155 108 0 19 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 59 345 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 31 6 0 13 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling Etienne Bennequin Myriam Tami Antoine Toubhans C´eline Hudelot VLM 24 4 0 10 May 2022
Privacy Enhancement for Cloud-Based Few-Shot Learning Archit Parnami Muhammad Usama Liyue Fan Minwoo Lee 27 1 0 10 May 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Mingyang Chen Wen Zhang Zhen Yao Xian-gan Chen Mengxiao Ding Fei Huang Huajun Chen FedML 31 26 0 10 May 2022
Comparison Knowledge Translation for Generalizable Image Classification Zunlei Feng Tian Qiu Sai Wu Xi Jin Zengliang He Min-Gyoo Song Huiqiong Wang VLM 16 0 0 07 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 27 61 0 05 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 31 23 0 05 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba J. Tenenbaum Chuang Gan CoGe OCL 22 52 0 02 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr ... Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman Karen Simonyan MLLM VLM 53 3,369 0 29 Apr 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 26 20 0 28 Apr 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 29 2 0 28 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 34 35 0 24 Apr 2022
Few-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention Yanxiong Li Wucheng Wang Hao Chen Wenchang Cao Wei Li Qianhua He 30 5 0 24 Apr 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie C. Y. Chan Adam Santoro Andrew Kyle Lampinen Jane X. Wang Aaditya K. Singh Pierre Harvey Richemond J. Mcclelland Felix Hill 81 249 0 22 Apr 2022
Few-Shot Object Detection with Proposal Balance Refinement Sueyeon Kim Woo-Jeoung Nam Seong-Whan Lee ObjD 40 3 0 22 Apr 2022
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation Chunbo Lang Binfei Tu Gong Cheng Junwei Han 42 64 0 21 Apr 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition Tingting Ma Huiqiang Jiang Qianhui Wu Tiejun Zhao Chin-Yew Lin 45 58 0 12 Apr 2022
Few-shot Learning with Noisy Labels Kevin J. Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 35 47 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 34 6 0 11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 33 8 0 11 Apr 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Jianhai Zhang M. Maimaiti Xing Gao Yuanhang Zheng Ji Zhang 23 9 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 28 161 0 09 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification Yong Li Heng Wang Xiang Ye 15 0 0 08 Apr 2022