Few-shot Learning for Unsupervised Feature Selection

2 July 2021

Papers citing "Few-shot Learning for Unsupervised Feature Selection"

26 / 26 papers shown

Title
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 74 77 0 14 Mar 2020
FsNet: Feature Selection Network on High-dimensional Biological Data Dinesh Singh Héctor Climente-González Mathis Petrovich Eiryo Kawakami M. Yamada 65 47 0 23 Jan 2020
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 48 187 0 09 Dec 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 94 854 0 10 Sep 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 102 339 0 27 May 2019
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction Abubakar Abid M. F. Balin James Zou SyDa 47 225 0 27 Jan 2019
Feature Selection using Stochastic Gates Yutaro Yamada Ofir Lindenbaum S. Negahban Y. Kluger 101 43 0 09 Oct 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 85 700 0 04 Jul 2018
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport Léo Gautheron I. Redko Carole Lartizien OOD OT 27 20 0 28 Jun 2018
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning Bo Zhao Xinwei Sun Yanwei Fu Yuan Yao Yizhou Wang 38 23 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 277 501 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 255 670 0 07 Jun 2018
Unified Deep Supervised Domain Adaptation and Generalization Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto OOD 90 786 0 28 Sep 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 267 8,114 0 15 Mar 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 310 2,459 0 10 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 803 11,866 0 09 Mar 2017
Diet Networks: Thin Parameters for Fat Genomics Adriana Romero P. Carrier Akram Erraqabi Tristan Sylvain Alex Auvolat Etienne Dejoie Marc-André Legault M. Dubé J. Hussin Yoshua Bengio 63 68 0 28 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 277 5,360 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 153 2,529 0 02 Nov 2016
Post Selection Inference with Kernels M. Yamada Yuta Umezu Kenji Fukumizu Ichiro Takeuchi 50 28 0 12 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 333 7,313 0 13 Jun 2016
Domain Generalization for Object Recognition with Multi-task Autoencoders Muhammad Ghifary W. Kleijn Mengjie Zhang David Balduzzi ViT OOD 67 659 0 31 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 176 4,948 0 06 Oct 2013
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso M. Yamada Wittawat Jitkrittum Leonid Sigal Eric Xing Masashi Sugiyama 168 300 0 02 Feb 2012
Efficient Learning with Partially Observed Attributes Nicolò Cesa-Bianchi Shai Shalev-Shwartz Ohad Shamir 101 90 0 26 Apr 2010