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NIPS Submissions
Compact Neural Network Solutions to Laplace's Equation in a Nanofluidic Device
Martin Magill
,
Faisal Z. Qureshi
,
Hendrick W. de Haan
20 Oct 2018 (modified: 12 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang
,
Qiming Zhang
,
Yuehai Wang
,
Haoji Hu
20 Oct 2018 (modified: 11 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Block-wise Intermediate Representation Training for Model Compression
Animesh Koratana*
,
Daniel Kang*
,
Peter Bailis
,
Matei Zahaira
20 Oct 2018 (modified: 11 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Demystifying Neural Network Filter Pruning
Zhuwei Qin
,
Fuxun Yu
,
Chenchen Liu
,
Xiang Chen
20 Oct 2018 (modified: 11 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Recurrent Convolutions: A Model Compression Point of View
Zhendong Zhang
,
Cheolkon Jung
20 Oct 2018 (modified: 11 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Pruning at a Glance: A Structured Class-Blind Pruning Technique for Model Compression
Abdullah Salama
,
Oleksiy Ostapenko
,
Moin Nabi
,
Tassilo Klein
20 Oct 2018 (modified: 10 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates
Mohammad Saeed Shafiee
,
Mohammad Javad Shafiee
,
Alexander Wong
16 Oct 2018 (modified: 09 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
On Learning Wire-Length Efficient Neural Networks
Christopher Blake
,
Luyu Wang
,
Giuseppe Castiglione
,
Christopher Srinivasa
,
Marcus Brubaker
,
19 Oct 2018 (modified: 09 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
Xiaofan Xu
,
Mi Sun Park
,
Cormac Brick
19 Oct 2018 (modified: 09 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
Yuxin Zhang
,
Huan Wang
,
Yang Luo
,
Roland Hu
19 Oct 2018 (modified: 09 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Distilling Critical Paths in Convolutional Neural Networks
Fuxun Yu
,
Zhuwei Qin
,
Xiang Chen
20 Oct 2018 (modified: 09 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
PositNN: Tapered Precision Deep Learning Inference for the Edge
Hamed F. Langroudi
,
Zachariah Carmichael
,
John L. Gustafson
,
Dhireesha Kudithipudi
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
On Compressing U-net Using Knowledge Distillation
Karttikeya Mangalam
,
MATHIEU SALZMANN
19 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Training Domain Specific Models for Energy-Efficient Object Detection
Kentaro Yoshioka
,
Edward Lee
,
Mark Horowitz
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks
Raphael Tang
,
Ashutosh Adhikari
,
Jimmy Lin
19 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
ProxQuant: Quantized Neural Networks via Proximal Operators
Yu Bai
,
Yu-Xiang Wang
,
Edo Liberty
18 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Low-bit quantization and quantization-aware training for small-footprint keyword spotting
Yuriy Mishchenko
,
Yusuf Goren
,
Ming Sun
,
Chris Beauchene
,
Spyros Matsoukas
,
Oleg Rybakov
,
Shiv Naga Prasad Vitaladevuni
19 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage
Alexander Wong
12 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
A Flexible, Extensible Software Framework for Neural Net Compression
Yerlan Idelbayev
,
Miguel Carreira-Perpinan
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Scalable Recommender Systemsthrough Recursive Evidence Chains
Elias Tragas
,
Calvin Luo
,
Maxime Yvez
,
Kevin Luk
,
David Duvenaud
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference
Shun Liao
,
Ting Chen
,
Tian Lin
,
Dengyong Zhou
,
Chong Wang
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Training Structured Efficient Convolutional Layers
Gavin Gray
,
Elliot Crowley
,
Amos Storkey
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks with Compact Inception-V4
Luna Zhang
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection
Seunghyeon Kim
,
Yung-Kyun Noh
,
Frank C. Park
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
Compact representations and pruning in residual networks
Fereshteh Lagzi
,
Tonio Ball
,
Joschka Boedecker
20 Oct 2018 (modified: 07 Nov 2018)
NIPS 2018 Workshop CDNNRIA Blind Submission
Readers:
Everyone
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