NIPS Submissions

Compact Neural Network Solutions to Laplace's Equation in a Nanofluidic Device
Martin Magill, Faisal Z. Qureshi, Hendrick W. de Haan
- Oct 20, 2018 (edited Nov 12, 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
- Oct 20, 2018 (edited Nov 11, 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
- Oct 20, 2018 (edited Nov 11, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
Demystifying Neural Network Filter Pruning
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
- Oct 20, 2018 (edited Nov 11, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
Recurrent Convolutions: A Model Compression Point of View
Zhendong Zhang, Cheolkon Jung
- Oct 20, 2018 (edited Nov 11, 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
- Oct 20, 2018 (edited Nov 10, 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
- Oct 16, 2018 (edited Nov 09, 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,
- Oct 19, 2018 (edited Nov 09, 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
- Oct 19, 2018 (edited Nov 09, 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
- Oct 19, 2018 (edited Nov 09, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
Distilling Critical Paths in Convolutional Neural Networks
Fuxun Yu, Zhuwei Qin, Xiang Chen
- Oct 20, 2018 (edited Nov 09, 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
- Oct 20, 2018 (edited Nov 07, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
On Compressing U-net Using Knowledge Distillation
Karttikeya Mangalam, MATHIEU SALZMANN
- Oct 19, 2018 (edited Nov 07, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
Training Domain Specific Models for Energy-Efficient Object Detection
Kentaro Yoshioka, Edward Lee, Mark Horowitz
- Oct 20, 2018 (edited Nov 07, 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
- Oct 19, 2018 (edited Nov 07, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
ProxQuant: Quantized Neural Networks via Proximal Operators
Yu Bai, Yu-Xiang Wang, Edo Liberty
- Oct 18, 2018 (edited Nov 07, 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
- Oct 19, 2018 (edited Nov 07, 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
- Oct 12, 2018 (edited Nov 07, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
A Flexible, Extensible Software Framework for Neural Net Compression
Yerlan Idelbayev, Miguel Carreira-Perpinan
- Oct 20, 2018 (edited Nov 07, 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
- Oct 20, 2018 (edited Nov 07, 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
- Oct 20, 2018 (edited Nov 07, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
Training Structured Efficient Convolutional Layers
Gavin Gray, Elliot Crowley, Amos Storkey
- Oct 20, 2018 (edited Nov 07, 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
- Oct 20, 2018 (edited Nov 07, 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
- Oct 20, 2018 (edited Nov 07, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone
Compact representations and pruning in residual networks
Fereshteh Lagzi, Tonio Ball, Joschka Boedecker
- Oct 20, 2018 (edited Nov 07, 2018)
- NIPS 2018 Workshop CDNNRIA Blind Submission
- Readers: Everyone