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ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

14 June 2020
Bingzhao Zhu
Masoud Farivar
Mahsa Shoaran
ArXivPDFHTML

Papers citing "ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification"

14 / 14 papers shown
Title
ODTE -- An ensemble of multi-class SVM-based oblique decision trees
ODTE -- An ensemble of multi-class SVM-based oblique decision trees
Ricardo Montañana
J. A. Gamez
J. M. Puerta
101
0
0
20 Nov 2024
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal
  Matrices
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Chunhua Deng
Siyu Liao
Yi Xie
Keshab K. Parhi
Xuehai Qian
Bo Yuan
56
93
0
23 Apr 2020
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained
  Microcontrollers
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov
Ryan P. Adams
Matthew Mattina
P. Whatmough
41
167
0
28 May 2019
Optimal Sparse Decision Trees
Optimal Sparse Decision Trees
Xiyang Hu
Cynthia Rudin
Margo Seltzer
96
173
0
29 Apr 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated
  Recurrent Neural Network
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati
Manish Singh
Kush S. Bhatia
A. Kumar
Prateek Jain
Manik Varma
48
190
0
08 Jan 2019
Adaptive Neural Trees
Adaptive Neural Trees
Ryutaro Tanno
Kai Arulkumaran
Daniel C. Alexander
A. Criminisi
A. Nori
203
166
0
17 Jul 2018
End-to-end Learning of Deterministic Decision Trees
End-to-end Learning of Deterministic Decision Trees
Thomas M. Hehn
Fred Hamprecht
BDL
18
11
0
07 Dec 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
361
37,815
0
09 Mar 2016
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
71
814
0
19 Nov 2015
Efficient non-greedy optimization of decision trees
Efficient non-greedy optimization of decision trees
Mohammad Norouzi
Maxwell D. Collins
Matthew W. Johnson
David J. Fleet
Pushmeet Kohli
89
109
0
12 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
203
8,793
0
01 Oct 2015
A 128 channel Extreme Learning Machine based Neural Decoder for Brain
  Machine Interfaces
A 128 channel Extreme Learning Machine based Neural Decoder for Brain Machine Interfaces
Yi Chen
Enyi Yao
A. Basu
21
96
0
22 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
857
149,474
0
22 Dec 2014
The Greedy Miser: Learning under Test-time Budgets
The Greedy Miser: Learning under Test-time Budgets
Z. Xu
Kilian Q. Weinberger
O. Chapelle
79
116
0
27 Jun 2012
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