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Network of Experts for Large-Scale Image Categorization
v1v2v3 (latest)

Network of Experts for Large-Scale Image Categorization

20 April 2016
Karim Ahmed
M. H. Baig
Lorenzo Torresani
ArXiv (abs)PDFHTML

Papers citing "Network of Experts for Large-Scale Image Categorization"

44 / 44 papers shown
Title
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
Mohan Zhang
Pingzhi Li
Jie Peng
Mufan Qiu
Tianlong Chen
MoE
215
0
0
02 Apr 2025
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
Hugo Inzirillo
Remi Genet
MoE
108
4
0
23 Sep 2024
Multimodal Clinical Trial Outcome Prediction with Large Language Models
Multimodal Clinical Trial Outcome Prediction with Large Language Models
Wenhao Zheng
Dongsheng Peng
Hongxia Xu
Yun Li
Hongtu Zhu
Tianfan Fu
Huaxiu Yao
Huaxiu Yao
228
5
0
09 Feb 2024
Taxonomic Class Incremental Learning
Taxonomic Class Incremental Learning
Yuzhao Chen
Zonghua Li
Zhiyuan Hu
Nuno Vasconcelos
CLL
79
3
0
12 Apr 2023
Revisiting Single-gated Mixtures of Experts
Revisiting Single-gated Mixtures of Experts
Amelie Royer
I. Karmanov
Andrii Skliar
B. Bejnordi
Tijmen Blankevoort
MoEMoMe
73
6
0
11 Apr 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks
LEURN: Learning Explainable Univariate Rules with Neural Networks
Çağlar Aytekin
FAtt
62
0
0
27 Mar 2023
Spatial Mixture-of-Experts
Spatial Mixture-of-Experts
Nikoli Dryden
Torsten Hoefler
MoE
103
9
0
24 Nov 2022
M$^3$ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task
  Learning with Model-Accelerator Co-design
M3^33ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
Hanxue Liang
Zhiwen Fan
Rishov Sarkar
Ziyu Jiang
Tianlong Chen
Kai Zou
Yu Cheng
Cong Hao
Zhangyang Wang
MoE
73
88
0
26 Oct 2022
Hierarchical classification at multiple operating points
Hierarchical classification at multiple operating points
Jack Valmadre
60
14
0
19 Oct 2022
Neural Networks are Decision Trees
Neural Networks are Decision Trees
Çağlar Aytekin
FAtt
98
25
0
11 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
145
34
0
08 Oct 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical
  Classification
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Randolph Linderman
Jingyang Zhang
Nathan Inkawhich
H. Li
Yiran Chen
OODD
175
7
0
09 Sep 2022
A Survey of Neural Trees
A Survey of Neural Trees
Haoling Li
Mingli Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Mingli Song
AI4CE
106
6
0
07 Sep 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Andrew M. Saxe
Shagun Sodhani
Sam Lewallen
AI4CE
101
37
0
21 Jul 2022
Adaptive Mixture of Experts Learning for Generalizable Face
  Anti-Spoofing
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing
Qianyu Zhou
Ke-Yue Zhang
Taiping Yao
Ran Yi
Shouhong Ding
Lizhuang Ma
OODCVBM
65
50
0
20 Jul 2022
Deep Hierarchical Semantic Segmentation
Deep Hierarchical Semantic Segmentation
Liulei Li
Tianfei Zhou
Wenguan Wang
Jianwu Li
Yi Yang
SSeg
583
137
0
27 Mar 2022
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and
  Efficient Autonomous Vehicle Perception
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception
Arnav V. Malawade
Trier Mortlock
Mohammad Abdullah Al Faruque
76
32
0
17 Jan 2022
SONG: Self-Organizing Neural Graphs
SONG: Self-Organizing Neural Graphs
Lukasz Struski
Tomasz Danel
Marek Śmieja
Jacek Tabor
Bartosz Zieliñski
33
1
0
28 Jul 2021
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image
  Classification
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification
Xiaoni Li
Yucan Zhou
Yu Zhou
Weiping Wang
69
10
0
02 Jul 2021
Scaling Vision with Sparse Mixture of Experts
Scaling Vision with Sparse Mixture of Experts
C. Riquelme
J. Puigcerver
Basil Mustafa
Maxim Neumann
Rodolphe Jenatton
André Susano Pinto
Daniel Keysers
N. Houlsby
MoE
146
612
0
10 Jun 2021
Generalizable Person Re-identification with Relevance-aware Mixture of
  Experts
Generalizable Person Re-identification with Relevance-aware Mixture of Experts
Yongxing Dai
Xiaotong Li
Jun Liu
Zekun Tong
Ling-yu Duan
OOD
76
129
0
19 May 2021
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture
  of Experts
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
Zhao You
Shulin Feng
Jane Polak Scowcroft
Dong Yu
MoE
80
55
0
07 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic
  Space
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang
Yixuan Li
OODD
99
249
0
05 May 2021
Domain Adaptation of Learned Features for Visual Localization
Domain Adaptation of Learned Features for Visual Localization
Sungyong Baik
Hyo Jin Kim
Tianwei Shen
Eddy Ilg
Kyoung Mu Lee
Chris Sweeney
OOD
84
6
0
21 Aug 2020
SegNBDT: Visual Decision Rules for Segmentation
SegNBDT: Visual Decision Rules for Segmentation
Alvin Wan
Daniel Ho
You Song
Henk Tillman
Sarah Adel Bargal
Joseph E. Gonzalez
SSeg
108
6
0
11 Jun 2020
NBDT: Neural-Backed Decision Trees
NBDT: Neural-Backed Decision Trees
Alvin Wan
Lisa Dunlap
Daniel Ho
Jihan Yin
Scott Lee
Henry Jin
Suzanne Petryk
Sarah Adel Bargal
Joseph E. Gonzalez
68
106
0
01 Apr 2020
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Luca Bertinetto
Romain Mueller
Konstantinos Tertikas
Sina Samangooei
Nicholas A. Lord
OOD
198
139
0
19 Dec 2019
Decision Propagation Networks for Image Classification
Decision Propagation Networks for Image Classification
Keke Tang
Peng Song
Yuexin Ma
Zhaoquan Gu
Yu Su
Zhihong Tian
Wenping Wang
23
0
0
27 Nov 2019
ExpertMatcher: Automating ML Model Selection for Clients using Hidden
  Representations
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations
Vivek Sharma
Praneeth Vepakomma
Tristan Swedish
Kenglun Chang
Jayashree Kalpathy-Cramer
Ramesh Raskar
77
11
0
09 Oct 2019
ExpertMatcher: Automating ML Model Selection for Users in Resource
  Constrained Countries
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
Vivek Sharma
Praneeth Vepakomma
Tristan Swedish
Kenglun Chang
Jayashree Kalpathy-Cramer
Ramesh Raskar
53
7
0
05 Oct 2019
Expert Sample Consensus Applied to Camera Re-Localization
Expert Sample Consensus Applied to Camera Re-Localization
Eric Brachmann
Carsten Rother
111
116
0
07 Aug 2019
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video
  Captioning
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Yoonchang Sung
Jiawei Wu
Da Zhang
Yu-Chuan Su
Pratap Tokekar
90
38
0
07 Nov 2018
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
Boyuan Feng
Kun Wan
Shu Yang
Yufei Ding
86
4
0
07 Sep 2018
Class2Str: End to End Latent Hierarchy Learning
Class2Str: End to End Latent Hierarchy Learning
Soham Saha
G. Varma
C. V. Jawahar
83
5
0
20 Aug 2018
Divide and Grow: Capturing Huge Diversity in Crowd Images with
  Incrementally Growing CNN
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
Deepak Babu Sam
Neeraj N. Sajjan
R. Venkatesh Babu
55
219
0
26 Jul 2018
Conditional Information Gain Networks
Conditional Information Gain Networks
Ufuk Can Biçici
Cem Keskin
L. Akarun
50
9
0
25 Jul 2018
Multi-Level Factorisation Net for Person Re-Identification
Multi-Level Factorisation Net for Person Re-Identification
Xiaobin Chang
Timothy M. Hospedales
Tao Xiang
70
507
0
24 Mar 2018
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using
  Multi-Task Hierarchical Deep Networks
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks
Ravi Kiran Sarvadevabhatla
Isht Dwivedi
Abhijat Biswas
S. Manocha
R. VenkateshBabu
3DV
64
38
0
05 Sep 2017
Towards Good Practices for Deep 3D Hand Pose Estimation
Towards Good Practices for Deep 3D Hand Pose Estimation
Hengkai Guo
Guijin Wang
Xinghao Chen
Cairong Zhang
3DH
84
86
0
23 Jul 2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
Sam Gross
MarcÁurelio Ranzato
Arthur Szlam
MoE
81
103
0
20 Apr 2017
Region Ensemble Network: Improving Convolutional Network for Hand Pose
  Estimation
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hengkai Guo
Guijin Wang
Xinghao Chen
Cairong Zhang
F. Qiao
Huazhong Yang
3DH
99
143
0
08 Feb 2017
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
105
664
0
18 Nov 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
105
388
0
16 Nov 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
Viresh Ranjan
David J. Crandall
Dhruv Batra
BDLUQCVOOD
98
179
0
24 Jun 2016
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