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Task Transfer by Preference-Based Cost Learning

Task Transfer by Preference-Based Cost Learning

12 May 2018
Chi-Hung Hsu
Shu-Huan Chang
Da-Cheng Juan
Yu-Ting Chen
Shih-Chieh Chang
ArXivPDFHTML

Papers citing "Task Transfer by Preference-Based Cost Learning"

16 / 16 papers shown
Title
Data Aware Neural Architecture Search
Data Aware Neural Architecture Search
Emil Njor
J. Madsen
Xenofon Fafoutis
30
7
0
04 Apr 2023
Fast Neural Architecture Search for Lightweight Dense Prediction
  Networks
Fast Neural Architecture Search for Lightweight Dense Prediction Networks
Lam Huynh
Esa Rahtu
Juan E. Sala Matas
J. Heikkilä
20
2
0
03 Mar 2022
Human irrationality: both bad and good for reward inference
Human irrationality: both bad and good for reward inference
Lawrence Chan
Andrew Critch
Anca Dragan
14
25
0
12 Nov 2021
Towards Transferring Human Preferences from Canonical to Actual Assembly
  Tasks
Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks
Heramb Nemlekar
Runyu Guan
Guanyang Luo
Satyandra K. Gupta
Stefanos Nikolaidis
37
8
0
11 Nov 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie
  Devices
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao
Xi Sheryl Zhang
Wentao Zhu
Jiaxing Wang
Sen Yang
Ji Liu
Jian Cheng
56
2
0
15 Oct 2021
Lightweight Monocular Depth with a Novel Neural Architecture Search
  Method
Lightweight Monocular Depth with a Novel Neural Architecture Search Method
Lam Huynh
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
29
10
0
25 Aug 2021
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep
  Convolutional Neural Network Design for Detection of COVID-19 Patient Cases
  from Point-of-care Ultrasound Imaging
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging
Alexander MacLean
Saad Abbasi
Ashkan Ebadi
Andy Zhao
Maya Pavlova
Hayden Gunraj
Pengcheng Xi
S. Kohli
Alexander Wong
17
9
0
05 Aug 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization
FLASH: Fast Neural Architecture Search with Hardware Optimization
Guihong Li
Sumit K. Mandal
Ümit Y. Ogras
R. Marculescu
27
20
0
01 Aug 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic
  Segmentation on the Edge
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
Xiaoyue Wen
M. Famouri
Andrew Hryniowski
Alexander Wong
SSeg
13
7
0
29 Apr 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
49
30
0
21 Apr 2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for
  On-Device Acoustic Anomaly Detection
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
Saad Abbasi
M. Famouri
M. Shafiee
A. Wong
18
25
0
31 Mar 2021
A Learned Performance Model for Tensor Processing Units
A Learned Performance Model for Tensor Processing Units
Samuel J. Kaufman
P. Phothilimthana
Yanqi Zhou
Charith Mendis
Sudip Roy
Amit Sabne
Mike Burrows
21
8
0
03 Aug 2020
EdgeSegNet: A Compact Network for Semantic Segmentation
EdgeSegNet: A Compact Network for Semantic Segmentation
Z. Q. Lin
Brendan Chwyl
A. Wong
SSeg
22
9
0
10 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
16
170
0
28 Apr 2019
A Neurobiological Evaluation Metric for Neural Network Model Search
A Neurobiological Evaluation Metric for Neural Network Model Search
Nathaniel Blanchard
Jeffery Kinnison
Brandon RichardWebster
P. Bashivan
Walter J. Scheirer
27
12
0
28 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
383
11,700
0
09 Mar 2017
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