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BlockDrop: Dynamic Inference Paths in Residual Networks

BlockDrop: Dynamic Inference Paths in Residual Networks

22 November 2017
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
ArXivPDFHTML

Papers citing "BlockDrop: Dynamic Inference Paths in Residual Networks"

50 / 78 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
Learning to Inference Adaptively for Multimodal Large Language Models
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu
Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
Yin Li
LRM
44
1
0
13 Mar 2025
AFter: Attention-based Fusion Router for RGBT Tracking
AFter: Attention-based Fusion Router for RGBT Tracking
Andong Lu
Wanyu Wang
Chenglong Li
Jin Tang
Bin Luo
52
5
0
04 May 2024
Tiny Models are the Computational Saver for Large Models
Tiny Models are the Computational Saver for Large Models
Qingyuan Wang
B. Cardiff
Antoine Frappé
Benoît Larras
Deepu John
29
2
0
26 Mar 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
MerRec: A Large-scale Multipurpose Mercari Dataset for
  Consumer-to-Consumer Recommendation Systems
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
Lichi Li
Zainul Din
Zhen Tan
Sam London
Tianlong Chen
Ajay Daptardar
39
0
0
22 Feb 2024
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
28
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
21
1
0
26 Dec 2023
Training a Large Video Model on a Single Machine in a Day
Training a Large Video Model on a Single Machine in a Day
Yue Zhao
Philipp Krahenbuhl
VLM
29
15
0
28 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
32
4
0
28 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
37
23
0
20 Aug 2023
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame
  Interpolation
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation
Ri Cheng
Xuhao Jiang
Ruian He
Shili Zhou
Weimin Tan
Bo Yan
41
2
0
31 Jul 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
28
0
0
13 May 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
24
2
0
13 Apr 2023
Revisiting Single-gated Mixtures of Experts
Revisiting Single-gated Mixtures of Experts
Amelie Royer
I. Karmanov
Andrii Skliar
B. Bejnordi
Tijmen Blankevoort
MoE
MoMe
31
6
0
11 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
38
5
0
06 Apr 2023
$Δ$-Patching: A Framework for Rapid Adaptation of Pre-trained
  Convolutional Networks without Base Performance Loss
ΔΔΔ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss
Chaitanya Devaguptapu
Samarth Sinha
K. J. Joseph
V. Balasubramanian
Animesh Garg
65
1
0
26 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
22
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
Accordion: A Communication-Aware Machine Learning Framework for Next
  Generation Networks
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks
Fadhel Ayed
Antonio De Domenico
A. García‐Rodríguez
David López-Pérez
13
4
0
12 Jan 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-jun Sun
Nanning Zheng
ViT
26
34
0
10 Jan 2023
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Danyang Liu
Xue Liu
17
0
0
24 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous
  Inference
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
Hai Wu
Ruifei He
Hao Hao Tan
Xiaojuan Qi
Kaibin Huang
MQ
19
2
0
10 Dec 2022
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local
  Attention Operation for Speech Enhancement
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement
Xinmeng Xu
Weiping Tu
Yuhong Yang
16
8
0
07 Dec 2022
Boosted Dynamic Neural Networks
Boosted Dynamic Neural Networks
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
30
7
0
30 Nov 2022
Salient Object Detection via Dynamic Scale Routing
Salient Object Detection via Dynamic Scale Routing
Zhenyu Wu
Shuai Li
Chenglizhao Chen
Hong Qin
Aimin Hao
25
20
0
25 Oct 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
13
0
0
14 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
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural
  Networks on Edge NPUs
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs
Alexandros Kouris
Stylianos I. Venieris
Stefanos Laskaridis
Nicholas D. Lane
30
8
0
27 Sep 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
29
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
J. Liu
19
15
0
20 Jul 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
30
27
0
12 May 2022
On-demand compute reduction with stochastic wav2vec 2.0
On-demand compute reduction with stochastic wav2vec 2.0
Apoorv Vyas
Wei-Ning Hsu
Michael Auli
Alexei Baevski
24
13
0
25 Apr 2022
Are Multimodal Transformers Robust to Missing Modality?
Are Multimodal Transformers Robust to Missing Modality?
Mengmeng Ma
Jian Ren
Long Zhao
Davide Testuggine
Xi Peng
ViT
26
147
0
12 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
71
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
16
43
0
18 Dec 2021
Boosting Mobile CNN Inference through Semantic Memory
Boosting Mobile CNN Inference through Semantic Memory
Yun Li
Chen Zhang
S. Han
Li Lyna Zhang
B. Yin
Yunxin Liu
Mengwei Xu
ObjD
39
16
0
05 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
24
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
19
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
Complexity-aware Adaptive Training and Inference for Edge-Cloud
  Distributed AI Systems
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
Yinghan Long
I. Chakraborty
G. Srinivasan
Kaushik Roy
19
14
0
14 Sep 2021
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge
  Computing: A Contextual-Bandit Approach
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
Mao V. Ngo
Tie-Mei Luo
Tony Q. S. Quek
22
14
0
09 Aug 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision
  Transformers
IA-RED2^22: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan
Rameswar Panda
Yifan Jiang
Zhangyang Wang
Rogerio Feris
A. Oliva
VLM
ViT
39
153
0
23 Jun 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
20
114
0
30 Apr 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
45
21
0
09 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
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
32
212
0
08 Feb 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
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