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UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for
  Multi-Stage Classification
v1v2 (latest)

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification

26 October 2022
Yanbo Xu
Alind Khare
Glenn Matlin
Monish Ramadoss
Rishikesan Kamaleswaran
Chao Zhang
Alexey Tumanov
ArXiv (abs)PDFHTML

Papers citing "UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification"

7 / 7 papers shown
Title
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
199
1,359
0
03 Oct 2020
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient
  Monitoring Data
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu
Siddharth Biswal
S. Deshpande
K. Maher
Jimeng Sun
70
168
0
23 Jul 2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
89
401
0
23 Jul 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UDBDLEDLUQCVPER
199
923
0
28 Feb 2018
Classification with Costly Features using Deep Reinforcement Learning
Classification with Costly Features using Deep Reinforcement Learning
Jaromír Janisch
Tomás Pevný
Viliam Lisý
OffRL
60
98
0
20 Nov 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
524
10,358
0
16 Nov 2016
Learning Factored Representations in a Deep Mixture of Experts
Learning Factored Representations in a Deep Mixture of Experts
David Eigen
MarcÁurelio Ranzato
Ilya Sutskever
MoE
104
377
0
16 Dec 2013
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