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LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification

LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification

6 April 2022
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
ArXivPDFHTML

Papers citing "LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification"

10 / 10 papers shown
Title
Neural NeRF Compression
Neural NeRF Compression
Tuan Pham
Stephan Mandt
43
1
0
13 Jun 2024
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Sharath Girish
Kamal Gupta
Abhinav Shrivastava
3DGS
31
79
0
07 Dec 2023
ECRF: Entropy-Constrained Neural Radiance Fields Compression with
  Frequency Domain Optimization
ECRF: Entropy-Constrained Neural Radiance Fields Compression with Frequency Domain Optimization
Soonbin Lee
Fangwen Shu
Y. Sanchez
Thomas Schierl
C. Hellge
27
4
0
23 Nov 2023
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural
  Representations
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
Sharath Girish
Abhinav Shrivastava
Kamal Gupta
45
23
0
27 Sep 2023
Bandwidth-efficient Inference for Neural Image Compression
Bandwidth-efficient Inference for Neural Image Compression
Shanzhi Yin
Tongda Xu
Yongsheng Liang
Yuanyuan Wang
Yanghao Li
Yan Wang
Jingjing Liu
25
1
0
06 Sep 2023
NIRVANA: Neural Implicit Representations of Videos with Adaptive
  Networks and Autoregressive Patch-wise Modeling
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
Shishira R. Maiya
Sharath Girish
Max Ehrlich
Hanyu Wang
Kwot Sin Lee
Patrick Poirson
Pengxiang Wu
Chen Wang
Abhinav Shrivastava
VGen
47
40
0
30 Dec 2022
The Lottery Ticket Hypothesis for Object Recognition
The Lottery Ticket Hypothesis for Object Recognition
Sharath Girish
Shishira R. Maiya
Kamal Gupta
Hao Chen
L. Davis
Abhinav Shrivastava
83
60
0
08 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
153
345
0
23 Jul 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
383
0
05 Mar 2020
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
325
1,049
0
10 Feb 2017
1