ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.12232
  4. Cited By
Neural Network Distiller: A Python Package For DNN Compression Research

Neural Network Distiller: A Python Package For DNN Compression Research

27 October 2019
Neta Zmora
Guy Jacob
Lev Zlotnik
Bar Elharar
Gal Novik
ArXivPDFHTML

Papers citing "Neural Network Distiller: A Python Package For DNN Compression Research"

11 / 11 papers shown
Title
Evaluation Metrics for DNNs Compression
Evaluation Metrics for DNNs Compression
Abanoub Ghobrial
S. Budgett
Dieter Balemans
Hamid Asgari
Philippe Reiter
Kerstin Eder
34
1
0
18 May 2023
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing
  Resources
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Ji Liu
Daxiang Dong
Xi Wang
An Qin
Xingjian Li
P. Valduriez
Dejing Dou
Dianhai Yu
36
6
0
14 Jul 2022
Distilled Neural Networks for Efficient Learning to Rank
Distilled Neural Networks for Efficient Learning to Rank
F. M. Nardini
Cosimo Rulli
Salvatore Trani
Rossano Venturini
FedML
29
16
0
22 Feb 2022
NxMTransformer: Semi-Structured Sparsification for Natural Language
  Understanding via ADMM
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes
Minjia Zhang
Yuxiong He
Bo Wu
37
18
0
28 Oct 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
22
89
0
30 Aug 2021
Dual-side Sparse Tensor Core
Dual-side Sparse Tensor Core
Yang-Feng Wang
Chen Zhang
Zhiqiang Xie
Cong Guo
Yunxin Liu
Jingwen Leng
25
75
0
20 May 2021
Block Convolution: Towards Memory-Efficient Inference of Large-Scale
  CNNs on FPGA
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
Gang Li
Zejian Liu
Fanrong Li
Jian Cheng
11
25
0
19 May 2021
Benchmarking Quantized Neural Networks on FPGAs with FINN
Benchmarking Quantized Neural Networks on FPGAs with FINN
Quentin Ducasse
Pascal Cotret
Loïc Lagadec
Rob Stewart
MQ
27
13
0
02 Feb 2021
Self-Supervised GAN Compression
Self-Supervised GAN Compression
Chong Yu
Jeff Pool
9
9
0
03 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
64
82
0
02 Jul 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
1