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Prototypical Networks for Few-shot Learning

Prototypical Networks for Few-shot Learning

15 March 2017
Jake C. Snell
Kevin Swersky
R. Zemel
ArXivPDFHTML

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,387 papers shown
Title
Contextual HyperNetworks for Novel Feature Adaptation
Contextual HyperNetworks for Novel Feature Adaptation
A. Lamb
Evgeny S. Saveliev
Yingzhen Li
Sebastian Tschiatschek
Camilla Longden
Simon Woodhead
José Miguel Hernández-Lobato
Richard Turner
Pashmina Cameron
Cheng Zhang
OOD
22
6
0
12 Apr 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu
Luheng He
Yuan Zhang
Xinya Du
Panupong Pasupat
Qi Li
VLM
33
50
0
12 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for
  Long-Tailed Detection
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Nadine Chang
Zhiding Yu
Yu-xiong Wang
Anima Anandkumar
Sanja Fidler
J. Álvarez
45
37
0
12 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple
  Degradations
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations
Guanghao Yin
Wei Wang
Zehuan Yuan
Wei Ji
Dongdong Yu
Shouqian Sun
Tat-Seng Chua
Changhu Wang
27
14
0
08 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal
  Transport
Few-Shot Action Recognition with Compromised Metric via Optimal Transport
Su Lu
Han-Jia Ye
De-Chuan Zhan
31
18
0
08 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
38
26
0
06 Apr 2021
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D
  Semantic Segmentation
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
Zhengzhe Liu
Xiaojuan Qi
Chi-Wing Fu
3DPC
40
131
0
06 Apr 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Gen Li
Varun Jampani
Laura Sevilla-Lara
Deqing Sun
Jonghyun Kim
Joongkyu Kim
31
354
0
05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
34
288
0
04 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
35
4
0
01 Apr 2021
Composable Augmentation Encoding for Video Representation Learning
Composable Augmentation Encoding for Video Representation Learning
Chen Sun
Arsha Nagrani
Yonglong Tian
Cordelia Schmid
SSL
AI4TS
37
17
0
01 Apr 2021
Federated Few-Shot Learning with Adversarial Learning
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan
Jianwei Huang
FedML
28
29
0
01 Apr 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot
  Object Detection
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Hanzhe Hu
Shuai Bai
Aoxue Li
J. Cui
Liwei Wang
ObjD
29
154
0
30 Mar 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and
  Equivariance in Clustering
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Jang Hyun Cho
Utkarsh Mall
Kavita Bala
B. Hariharan
31
192
0
30 Mar 2021
Adaptive Methods for Real-World Domain Generalization
Adaptive Methods for Real-World Domain Generalization
Abhimanyu Dubey
Vignesh Ramanathan
Alex Pentland
D. Mahajan
OOD
32
88
0
29 Mar 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for
  Supervised Learning
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
Tyler R. Scott
Andrew C. Gallagher
Michael C. Mozer
29
39
0
29 Mar 2021
Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
44
126
0
29 Mar 2021
Meta-Mining Discriminative Samples for Kinship Verification
Meta-Mining Discriminative Samples for Kinship Verification
Wanhua Li
Shiwei Wang
Jiwen Lu
Jianjiang Feng
Jie Zhou
36
20
0
28 Mar 2021
When Few-Shot Learning Meets Video Object Detection
When Few-Shot Learning Meets Video Object Detection
Zhongjie Yu
Gaoang Wang
Lin Chen
S. Raschka
Jiebo Luo
ObjD
39
1
0
26 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot
  Classification
Universal Representation Learning from Multiple Domains for Few-shot Classification
Weihong Li
Xialei Liu
Hakan Bilen
SSL
OOD
VLM
32
84
0
25 Mar 2021
Prototype-based Personalized Pruning
Prototype-based Personalized Pruning
Jang-Hyun Kim
Simyung Chang
Sungrack Yun
Nojun Kwak
28
4
0
25 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
C. Xu
Chen Liu
Li Zhang
Chengjie Wang
Jilin Li
Feiyue Huang
Xiangyang Xue
Yanwei Fu
32
103
0
25 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
48
81
0
24 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
28
21
0
21 Mar 2021
A Modular and Unified Framework for Detecting and Localizing Video
  Anomalies
A Modular and Unified Framework for Detecting and Localizing Video Anomalies
Keval Doshi
Yasin Yılmaz
35
18
0
21 Mar 2021
Robust MAML: Prioritization task buffer with adaptive learning process
  for model-agnostic meta-learning
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Thanh Nguyen
Tung M. Luu
T. Pham
Sanzhar Rakhimkul
Chang D. Yoo
26
10
0
15 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
Detecting Human-Object Interaction via Fabricated Compositional Learning
Zhi Hou
B. Yu
Yu Qiao
Xiaojiang Peng
Dacheng Tao
38
96
0
15 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu
Tu Zheng
Mingli Song
Deng Cai
Xiaofei He
38
25
0
15 Mar 2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
M. Faraki
Xiang Yu
Yi-Hsuan Tsai
Yumin Suh
Manmohan Chandraker
CVBM
OOD
22
24
0
12 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli
Pietro Zanuttigh
CLL
43
138
0
10 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with
  Self-supervision
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li
Renshuai Tao
Jun Li
Haotong Qin
Yifu Ding
Shuo Wang
Xianglong Liu
SSL
27
8
0
10 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Chi Zhang
45
370
0
10 Mar 2021
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in
  Brain-Computer-Interfacing
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing
Denghao Li
Pablo Ortega
Xia Wei
Aldo A. Faisal
34
19
0
10 Mar 2021
SMIL: Multimodal Learning with Severely Missing Modality
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma
Jian Ren
Long Zhao
Sergey Tulyakov
Cathy H. Wu
Xi Peng
64
239
0
09 Mar 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for
  Unsupervised Person Re-Identification
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
Fengxiang Yang
Zhun Zhong
Zhiming Luo
Yuanzheng Cai
Yaojin Lin
Shaozi Li
N. Sebe
NoLa
27
111
0
08 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey
  and Research Challenges
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
35
200
0
08 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
39
41
0
05 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Shunyu Jiang
Fuli Feng
Weijia Chen
Xiang Li
Xiangnan He
36
18
0
05 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
43
77
0
03 Mar 2021
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind
  Conditions
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
Michael O'Connell
Guanya Shi
Xichen Shi
Soon-Jo Chung
35
22
0
02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
69
1,179
0
02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
41
109
0
01 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
46
84
0
01 Mar 2021
Meta-Learning for improving rare word recognition in end-to-end ASR
Meta-Learning for improving rare word recognition in end-to-end ASR
Florian Lux
Ngoc Thang Vu
243
12
0
25 Feb 2021
Dual-Awareness Attention for Few-Shot Object Detection
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen
Yueh-Cheng Liu
Hung-Ting Su
Yu-Cheng Chang
Yu-Hsiang Lin
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
37
96
0
24 Feb 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling
Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek
Minki Kang
Sung Ju Hwang
36
173
0
23 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Rajagopal Setlur
Oscar Li
Virginia Smith
38
13
0
23 Feb 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic
  Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Tsui-Wei Weng
Chuang Gan
Meng Wang
AAML
33
47
0
20 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference
Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang
Robin Walters
Rose Yu
OOD
AI4TS
AI4CE
34
32
0
20 Feb 2021
Few-shot Conformal Prediction with Auxiliary Tasks
Few-shot Conformal Prediction with Auxiliary Tasks
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
195
54
0
17 Feb 2021
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