An Overview of Neural Network Compression

5 June 2020

Papers citing "An Overview of Neural Network Compression"

26 / 26 papers shown

Title
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting Chen-Yu Liu Kuan-Cheng Chen Yi-Chien Chen Samuel Yen-Chi Chen Wei-Hao Huang Wei-Jia Huang Yen-Jui Chang 19 0 0 14 May 2025
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks Johannes Dollinger Damien Robert Elena Plekhanova Lukas Drees Jan Dirk Wegner AI4CE 32 0 0 07 Apr 2025
Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Design Saeed R. Khosravirad 57 0 0 10 Feb 2025
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 35 0 0 11 Oct 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing Xiaofan Yu Anthony Thomas Ivannia Gomez Moreno Louis Gutierrez Tajana Simunic 38 3 0 07 Mar 2024
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models James OÑeill Sourav Dutta VLM MQ 32 1 0 12 Jul 2023
Evaluation Metrics for DNNs Compression Abanoub Ghobrial S. Budgett Dieter Balemans Hamid Asgari Philippe Reiter Kerstin Eder 22 1 0 18 May 2023
Analyzing Compression Techniques for Computer Vision Maniratnam Mandal Imran Khan 21 1 0 14 May 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 31 4 0 21 Apr 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 40 47 0 24 Feb 2023
Improving Monocular Visual Odometry Using Learned Depth Libo Sun Wei Yin Enze Xie Zhengrong Li Changming Sun Chunhua Shen MDE 19 26 0 04 Apr 2022
On Neural Network Equivalence Checking using SMT Solvers Charis Eleftheriadis Nikolaos Kekatos Panagiotis Katsaros S. Tripakis AAML 19 12 0 22 Mar 2022
Post-training Quantization for Neural Networks with Provable Guarantees Jinjie Zhang Yixuan Zhou Rayan Saab MQ 15 31 0 26 Jan 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation Konstantin Ditschuneit Johannes Otterbach 13 5 0 26 Jan 2022
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 23 75 0 17 Mar 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,817 0 17 Sep 2019
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 225 575 0 12 Sep 2019
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 55 68 0 05 Nov 2018
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 192 473 0 12 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018
Neural Compatibility Modeling with Attentive Knowledge Distillation Xuemeng Song Fuli Feng Xianjing Han Xin Yang W. Liu Liqiang Nie 35 144 0 17 Apr 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 249 1,275 0 06 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 252 13,364 0 25 Aug 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012