Jingping Shi

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ A Simple Neural Attentive Meta-Learner 2017 Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
5
+ Prototypical Networks for Few-shot Learning 2017 Jake Snell
Kevin Swersky
Richard S. Zemel
5
+ PDF Chat Dynamic Few-Shot Visual Learning Without Forgetting 2018 Spyros Gidaris
Nikos Komodakis
4
+ Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2017 Chelsea Finn
Pieter Abbeel
Sergey Levine
4
+ RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning 2016 Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
4
+ Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2016 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
4
+ PDF Chat Context Encoders: Feature Learning by Inpainting 2016 Deepak Pathak
Philipp Krähenbßhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
3
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
3
+ PDF Chat Learning to Compare: Relation Network for Few-Shot Learning 2018 Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip H. S. Torr
Timothy M. Hospedales
3
+ PDF Chat Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction 2017 Richard Zhang
Phillip Isola
Alexei A. Efros
3
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
3
+ Neural Machine Translation by Jointly Learning to Align and Translate 2015 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
3
+ Meta-SGD: Learning to Learn Quickly for Few-Shot Learning 2017 Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ Matching networks for one shot learning 2016 Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
3
+ Matching Networks for One Shot Learning 2016 Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
3
+ PDF Chat The application of two-level attention models in deep convolutional neural network for fine-grained image classification 2015 Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
2
+ Is the deconvolution layer the same as a convolutional layer? 2016 Wenzhe Shi
JosĂŠ Caballero
Lucas Theis
Ferenc HuszĂĄr
Andrew P. Aitken
Christian Ledig
Zehan Wang
2
+ Neural Machine Translation by Jointly Learning to Align and Translate 2014 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
2
+ Meta-Transfer Learning for Few-Shot Learning 2019 Qianru Sun
Yaoyao Liu
Tat‐Seng Chua
Bernt Schiele
2
+ TADAM: Task dependent adaptive metric for improved few-shot learning 2018 Boris N. Oreshkin
Pau RodrĂ­guez
Alexandre Lacoste
2
+ PDF Chat Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning 2019 Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
2
+ Residual Attention Network for Image Classification 2017 Fei Wang
Mengqing Jiang
Chen Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
2
+ Effects of Computer-Based Visual Representation on Mathematics Learning and Cognitive Load 2015 Hsin I Yung
Fred Paas
2
+ Deep Clustering for Unsupervised Learning of Visual Features 2018 Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
2
+ Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2017 Chelsea Finn
Pieter Abbeel
Sergey Levine
2
+ PDF Chat Learning to Forget for Meta-Learning 2020 Sungyong Baik
Seokil Hong
Kyoung Mu Lee
2
+ Few-Shot Learning with Graph Neural Networks 2017 VĂ­ctor GarcĂ­a
Joan Bruna
2
+ Recasting Gradient-Based Meta-Learning as Hierarchical Bayes 2018 Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas L. Griffiths
2
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
2
+ On First-Order Meta-Learning Algorithms 2018 Alex Nichol
Joshua Achiam
John Schulman
2
+ Recasting Gradient-Based Meta-Learning as Hierarchical Bayes 2018 Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas L. Griffiths
2
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
1
+ PDF Chat Neural Machine Translation with Reconstruction 2017 Zhaopeng Tu
Yang Liu
Lifeng Shang
Xiaohua Liu
Hang Li
1
+ PDF Chat Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision 2018 Yaojie Liu
Amin Jourabloo
Xiaoming Liu
1
+ PDF Chat Network Dissection: Quantifying Interpretability of Deep Visual Representations 2017 David Bau
Bolei Zhou
Aditya Khosla
Aude Oliva
Antonio Torralba
1
+ Meta-Learning for Semi-Supervised Few-Shot Classification 2018 Eleni Triantafillou
Hugo Larochelle
Jake Snell
Josh Tenenbaum
Kevin Swersky
Mengye Ren
Richard S. Zemel
Sachin Ravi
1
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
1
+ PDF Chat Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2017 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
1
+ Divergence-based cross entropy and uncertainty measures of Atanassov’s intuitionistic fuzzy sets with their application in decision making 2019 Yafei Song
Qiang Fu
Yifei Wang
Xiaodan Wang
1
+ Meta-Learning with Implicit Gradients 2019 Aravind Rajeswaran
Chelsea Finn
Sham M. Kakade
Sergey Levine
1
+ PDF Chat A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing 2019 Chaitanya Nagpal
Shiv Ram Dubey
1
+ PDF Chat Task2Vec: Task Embedding for Meta-Learning 2019 Alessandro Achille
Michael Lam
R. S. TEWARI
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Stefano Soatto
Pietro Perona
1
+ Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML 2019 Aniruddh Raghu
Maithra Raghu
Samy Bengio
Oriol Vinyals
1
+ Meta-Learning with Warped Gradient Descent 2020 Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
Raia Hadsell
1
+ PDF Chat Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing 2020 Yunxiao Qin
Chenxu Zhao
Xiangyu Zhu
Zezheng Wang
Zitong Yu
Tianyu Fu
Feng Zhou
Jingping Shi
Zhen Lei
1
+ A Simple Framework for Contrastive Learning of Visual Representations 2020 Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
1
+ Robust support vector data description for novelty detection with contaminated data 2020 Kunzhe Wang
Haibin Lan
1
+ PDF Chat Momentum Contrast for Unsupervised Visual Representation Learning 2020 Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
1
+ Meta Networks 2017 Tsendsuren Munkhdalai
Hong Yu
1