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Plugin Networks for Inference under Partial Evidence
v1v2v3 (latest)

Plugin Networks for Inference under Partial Evidence

2 January 2019
Michal Koperski
Tomasz Konopczynski
Rafał Nowak
Piotr Semberecki
Tomasz Trzciñski
ArXiv (abs)PDFHTML

Papers citing "Plugin Networks for Inference under Partial Evidence"

14 / 14 papers shown
Title
Priming Neural Networks
Priming Neural Networks
Amir Rosenfeld
Mahdi Biparva
John K. Tsotsos
ObjD
59
11
0
16 Nov 2017
Feedback-prop: Convolutional Neural Network Inference under Partial
  Evidence
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence
Tianlu Wang
Kota Yamaguchi
Vicente Ordonez
72
12
0
23 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
366
2,233
0
22 Sep 2017
Learnable pooling with Context Gating for video classification
Learnable pooling with Context Gating for video classification
Antoine Miech
Ivan Laptev
Josef Sivic
74
327
0
21 Jun 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
176
938
0
22 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
72
679
0
24 Mar 2017
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Learning Structured Inference Neural Networks with Label Relations
Learning Structured Inference Neural Networks with Label Relations
Hexiang Hu
Guang-Tong Zhou
Zhiwei Deng
Zicheng Liao
Greg Mori
NAIBDL
97
127
0
17 Nov 2015
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
Justin Johnson
Lamberto Ballan
Fei-Fei Li
VLM
76
118
0
30 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
From Captions to Visual Concepts and Back
From Captions to Visual Concepts and Back
Hao Fang
Saurabh Gupta
F. Iandola
R. Srivastava
Li Deng
...
Xiaodong He
Margaret Mitchell
John C. Platt
C. L. Zitnick
Geoffrey Zweig
VLM
119
1,312
0
18 Nov 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
432
43,814
0
01 May 2014
Image Labeling on a Network: Using Social-Network Metadata for Image
  Classification
Image Labeling on a Network: Using Social-Network Metadata for Image Classification
Julian McAuley
J. Leskovec
VLM
85
187
0
16 Jul 2012
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