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Few-Shot Learning Through an Information Retrieval Lens

v1v2 (latest)

Few-Shot Learning Through an Information Retrieval Lens

9 July 2017

Eleni Triantafillou

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Papers citing "Few-Shot Learning Through an Information Retrieval Lens"

17 / 117 papers shown

Small Sample Learning in Big Data Era

Small Sample Learning in Big Data Era

355

77

0

14 Aug 2018

Saliency for Fine-grained Object Recognition in Domains with Scarce
Training Data

Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data

Carola Figueroa Flores

Abel Gonzalez-Garcia

Joost van de Weijer

Bogdan Raducanu

228

52

0

01 Aug 2018

The Variational Homoencoder: Learning to learn high capacity generative
models from few examples

The Variational Homoencoder: Learning to learn high capacity generative models from few examples

168

70

0

24 Jul 2018

One-shot Texture Segmentation

One-shot Texture Segmentation

Ivan Ustyuzhaninov

Claudio Michaelis

Wieland Brendel

Matthias Bethge

148

18

0

07 Jul 2018

Meta-Learning Probabilistic Inference For Prediction

Meta-Learning Probabilistic Inference For Prediction

Jonathan Gordon

Sebastian Nowozin

523

283

0

24 May 2018

Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive
Transfer Learning

Adapted Deep Embeddings: A Synthesis of Methods for

k

-Shot Inductive Transfer Learning

Michael C. Mozer

318

88

0

22 May 2018

Diverse Few-Shot Text Classification with Multiple Metrics

Diverse Few-Shot Text Classification with Multiple Metrics

222

222

0

19 May 2018

One-Shot Segmentation in Clutter

One-Shot Segmentation in Clutter

Claudio Michaelis

Matthias Bethge

Alexander S. Ecker

172

41

0

26 Mar 2018

Hashing with Mutual Information

Hashing with Mutual InformationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018

Sarah Adel Bargal

228

106

0

02 Mar 2018

Instance-based Inductive Deep Transfer Learning by Cross-Dataset
Querying with Locality Sensitive Hashing

Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing

Somnath Basu Roy Chowdhury

Ambedkar Dukkipati

132

10

0

16 Feb 2018

Learning Deep Disentangled Embeddings with the F-Statistic Loss

Learning Deep Disentangled Embeddings with the F-Statistic Loss

Michael C. Mozer

294

232

0

14 Feb 2018

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes

Thomas Griffiths

279

537

0

26 Jan 2018

Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace

Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace

169

27

0

17 Jan 2018

Visual Question Answering as a Meta Learning Task

Visual Question Answering as a Meta Learning Task

Anton Van Den Hengel

167

45

0

22 Nov 2017

Learning Markov Chain in Unordered Dataset

Learning Markov Chain in Unordered Dataset

Ruslan Salakhutdinov

167

1

0

08 Nov 2017

Dynamic Input Structure and Network Assembly for Few-Shot Learning

Dynamic Input Structure and Network Assembly for Few-Shot Learning

Nathan Hilliard

Nathan Oken Hodas

Court D. Corley

127

5

0

22 Aug 2017

Hashing as Tie-Aware Learning to Rank

Hashing as Tie-Aware Learning to Rank

Sarah Adel Bargal

191

86

0

23 May 2017

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