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Convolutional Networks with Adaptive Inference Graphs

Convolutional Networks with Adaptive Inference Graphs

30 November 2017
Andreas Veit
Serge J. Belongie
    OOD
    GNN
ArXivPDFHTML

Papers citing "Convolutional Networks with Adaptive Inference Graphs"

50 / 72 papers shown
Title
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang
Guoxin Wang
B. Cardiff
Deepu John
38
0
0
07 May 2025
SOI: Scaling Down Computational Complexity by Estimating Partial States
  of the Model
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
Grzegorz Stefański
P. Daniluk
Artur Szumaczuk
Jakub Tkaczuk
31
0
0
04 Oct 2024
A deeper look at depth pruning of LLMs
A deeper look at depth pruning of LLMs
Shoaib Ahmed Siddiqui
Xin Dong
Greg Heinrich
Thomas Breuel
Jan Kautz
David M. Krueger
Pavlo Molchanov
40
7
0
23 Jul 2024
Exploring Dynamic Transformer for Efficient Object Tracking
Exploring Dynamic Transformer for Efficient Object Tracking
Jiawen Zhu
Xin Chen
Haiwen Diao
Shuai Li
Jun-Yan He
Chenyang Li
Bin Luo
Dong Wang
Huchuan Lu
43
2
0
26 Mar 2024
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
30
1
0
27 Dec 2023
Learning Online Policies for Person Tracking in Multi-View Environments
Learning Online Policies for Person Tracking in Multi-View Environments
Keivan Nalaie
Rong Zheng
24
1
0
26 Dec 2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for
  Gait Recognition
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
Huanzhang Dou
Pengyi Zhang
Wei Su
Yunlong Yu
Xi Li
CVBM
29
31
0
06 Jun 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li
Kartikeya Bhardwaj
Yuedong Yang
R. Marculescu
AAML
36
0
0
13 May 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
40
0
0
13 Apr 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped
  Convolution
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Z. Su
Jiehua Zhang
Tianpeng Liu
Zhen Liu
Shuanghui Zhang
M. Pietikäinen
Li Liu
27
2
0
13 Apr 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks
LEURN: Learning Explainable Univariate Rules with Neural Networks
Çağlar Aytekin
FAtt
29
0
0
27 Mar 2023
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
Xiaotao Hu
Zhewei Huang
Ailin Huang
Jun Xu
Shuchang Zhou
VGen
35
69
0
17 Mar 2023
Adaptive Rotated Convolution for Rotated Object Detection
Adaptive Rotated Convolution for Rotated Object Detection
Yifan Pu
Yiru Wang
Zhuofan Xia
Yizeng Han
Yulin Wang
Weihao Gan
Zidong Wang
S. Song
Gao Huang
20
76
0
14 Mar 2023
I3D: Transformer architectures with input-dependent dynamic depth for
  speech recognition
I3D: Transformer architectures with input-dependent dynamic depth for speech recognition
Yifan Peng
Jaesong Lee
Shinji Watanabe
27
19
0
14 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token
  Halting
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
32
8
0
09 Mar 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi
Varun Babbar
P. Sun
Fran Silavong
Ruibo Shi
Sean J. Moran
Sean Moran
42
1
0
17 Feb 2023
Dynamic Grained Encoder for Vision Transformers
Dynamic Grained Encoder for Vision Transformers
Lin Song
Songyang Zhang
Songtao Liu
Zeming Li
Xuming He
Hongbin Sun
Jian Sun
Nanning Zheng
ViT
26
34
0
10 Jan 2023
Boosted Dynamic Neural Networks
Boosted Dynamic Neural Networks
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
35
7
0
30 Nov 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
18
0
0
14 Oct 2022
Latency-aware Spatial-wise Dynamic Networks
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han
Zhihang Yuan
Yifan Pu
Chenhao Xue
S. Song
Guangyu Sun
Gao Huang
49
25
0
12 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Bart Cox
L. Chen
Jérémie Decouchant
FedML
27
11
0
12 Oct 2022
Neural Networks are Decision Trees
Neural Networks are Decision Trees
Çağlar Aytekin
FAtt
32
24
0
11 Oct 2022
Diversified Dynamic Routing for Vision Tasks
Diversified Dynamic Routing for Vision Tasks
Botos Csaba
Adel Bibi
Yanwei Li
Philip H. S. Torr
Ser-Nam Lim
MoE
45
0
0
26 Sep 2022
ERA: Expert Retrieval and Assembly for Early Action Prediction
ERA: Expert Retrieval and Assembly for Early Action Prediction
Lin Geng Foo
Tianjiao Li
Hossein Rahmani
Qiuhong Ke
Xiaozhong Liu
19
15
0
20 Jul 2022
Pruning Early Exit Networks
Pruning Early Exit Networks
Alperen Görmez
Erdem Koyuncu
18
5
0
08 Jul 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition
  by humans and dynamic neural networks
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Ajay Subramanian
Sara A. Price
Omkar Kumbhar
E. Sizikova
N. Majaj
D. Pelli
25
1
0
16 Jun 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
22
1
0
16 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating
Gator: Customizable Channel Pruning of Neural Networks with Gating
E. Passov
E. David
N. Netanyahu
AAML
37
0
0
30 May 2022
Efficient Deep Visual and Inertial Odometry with Adaptive Visual
  Modality Selection
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
Mingyu Yang
Yu Chen
Hun-Seok Kim
33
27
0
12 May 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
A Closer Look at Branch Classifiers of Multi-exit Architectures
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
12
4
0
28 Apr 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
17
1
0
10 Feb 2022
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
76
49
0
09 Jan 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
Rui Han
Qinglong Zhang
C. Liu
Guoren Wang
Jian Tang
L. Chen
21
43
0
18 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic
  Data
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Rameswar Panda
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
26
33
0
30 Nov 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Mengnan Shi
Chang-rui Liu
Jianbin Jiao
QiXiang Ye
24
1
0
29 Nov 2021
Deep Joint Source-Channel Coding for Wireless Image Transmission with
  Adaptive Rate Control
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control
Mingyu Yang
Hun-Seok Kim
33
97
0
09 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
26
93
0
04 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Yongcheng Jing
Yiding Yang
Xinchao Wang
Mingli Song
Dacheng Tao
16
38
0
27 Sep 2021
Collaborative Training of Acoustic Encoders for Speech Recognition
Collaborative Training of Acoustic Encoders for Speech Recognition
Varun K. Nagaraja
Yangyang Shi
Ganesh Venkatesh
Ozlem Kalinli
M. Seltzer
Vikas Chandra
40
11
0
16 Jun 2021
Dynamic Resolution Network
Dynamic Resolution Network
Mingjian Zhu
Kai Han
Enhua Wu
Qiulin Zhang
Ying Nie
Zhenzhong Lan
Yunhe Wang
OOD
32
49
0
05 Jun 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial
  Attacks
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
Dequan Wang
An Ju
Evan Shelhamer
David A. Wagner
Trevor Darrell
AAML
26
26
0
18 May 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
Rameswar Panda
Chun-Fu Chen
Quanfu Fan
Ximeng Sun
Kate Saenko
A. Oliva
Rogerio Feris
28
47
0
11 May 2021
MOOD: Multi-level Out-of-distribution Detection
MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin
Sreya . Dutta Roy
Yixuan Li
OODD
26
114
0
30 Apr 2021
Prototype-based Personalized Pruning
Prototype-based Personalized Pruning
Jang-Hyun Kim
Simyung Chang
Sungrack Yun
Nojun Kwak
8
4
0
25 Mar 2021
VA-RED$^2$: Video Adaptive Redundancy Reduction
VA-RED2^22: Video Adaptive Redundancy Reduction
Bowen Pan
Rameswar Panda
Camilo Luciano Fosco
Chung-Ching Lin
A. Andonian
Yue Meng
Kate Saenko
A. Oliva
Rogerio Feris
15
19
0
15 Feb 2021
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph
The-Phuc Nguyen
Stéphane Lathuilière
Elisa Ricci
3DH
19
6
0
11 Jan 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Y. Fu
Haoran You
Yang Katie Zhao
Yue Wang
Chaojian Li
K. Gopalakrishnan
Zhangyang Wang
Yingyan Lin
MQ
30
32
0
24 Dec 2020
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised
  Video Object Segmentation
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
Hyojin Park
Jayeon Yoo
Seohyeong Jeong
Ganesh Venkatesh
Nojun Kwak
VOS
28
36
0
21 Dec 2020
Dynamic Feature Pyramid Networks for Object Detection
Dynamic Feature Pyramid Networks for Object Detection
Mingjian Zhu
Kai Han
Changbin (Brad) Yu
Yunhe Wang
ObjD
19
21
0
01 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
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