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MIMONet: Multi-Input Multi-Output On-Device Deep Learning

MIMONet: Multi-Input Multi-Output On-Device Deep Learning

22 July 2023
Zexin Li
Xiaoxi He
Yufei Li
Shahab Nikkhoo
Wei Yang
Lothar Thiele
Cong Liu
ArXivPDFHTML

Papers citing "MIMONet: Multi-Input Multi-Output On-Device Deep Learning"

20 / 20 papers shown
Title
BundledSLAM: An Accurate Visual SLAM System Using Multiple Cameras
BundledSLAM: An Accurate Visual SLAM System Using Multiple Cameras
Han Song
Cong Liu
Huafeng Dai
32
10
0
28 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
207
376
0
21 Mar 2024
Artificial Intelligence and Life in 2030: The One Hundred Year Study on
  Artificial Intelligence
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
Peter Stone
R. Brooks
Erik Brynjolfsson
Ryan Calo
Oren Etzioni
...
W. Press
A. Saxenian
J. Shah
Milind Tambe
Astro Teller
VLM
ELM
AI4TS
35
162
0
31 Oct 2022
Image as a Foreign Language: BEiT Pretraining for All Vision and
  Vision-Language Tasks
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
Wenhui Wang
Hangbo Bao
Li Dong
Johan Bjorck
Zhiliang Peng
...
Kriti Aggarwal
O. Mohammed
Saksham Singhal
Subhojit Som
Furu Wei
MLLM
VLM
ViT
133
640
0
22 Aug 2022
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View
  Representation
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Zhijian Liu
Haotian Tang
Alexander Amini
Xinyu Yang
Huizi Mao
Daniela Rus
Song Han
146
898
0
26 May 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&Ro
LLMAG
AI4CE
186
810
0
12 May 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
67
103
0
29 Mar 2022
UniT: Multimodal Multitask Learning with a Unified Transformer
UniT: Multimodal Multitask Learning with a Unified Transformer
Ronghang Hu
Amanpreet Singh
ViT
73
298
0
22 Feb 2021
Visual Transformers: Token-based Image Representation and Processing for
  Computer Vision
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Bichen Wu
Chenfeng Xu
Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Zhicheng Yan
Masayoshi Tomizuka
Joseph E. Gonzalez
Kurt Keutzer
Peter Vajda
ViT
94
557
0
05 Jun 2020
Self-supervised 6D Object Pose Estimation for Robot Manipulation
Self-supervised 6D Object Pose Estimation for Robot Manipulation
Xinke Deng
Yu Xiang
Arsalan Mousavian
Clemens Eppner
Timothy Bretl
Dieter Fox
3DPC
SSL
75
187
0
23 Sep 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for
  Autonomous Driving
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
Zelun Kong
Junfeng Guo
Ang Li
Cong Liu
AAML
60
126
0
09 Jul 2019
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
73
879
0
25 Jun 2019
Neural Autonomous Navigation with Riemannian Motion Policy
Neural Autonomous Navigation with Riemannian Motion Policy
Xiangyun Meng
Nathan D. Ratliff
Yu Xiang
Dieter Fox
68
37
0
03 Apr 2019
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving
  Systems
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems
Husheng Zhou
Wei Li
Yuankun Zhu
Yuqun Zhang
Bei Yu
Lingming Zhang
Cong Liu
AAML
53
177
0
27 Dec 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
49
181
0
28 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
413
20,061
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
442
15,179
0
07 Jun 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
472
10,305
0
16 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
559
28,964
0
09 Sep 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
407
43,234
0
11 Feb 2015
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