Neuron Merging: Compensating for Pruned Neurons

25 October 2020

Papers citing "Neuron Merging: Compensating for Pruned Neurons"

6 / 6 papers shown

Title
NOLA: Compressing LoRA using Linear Combination of Random Basis Soroush Abbasi Koohpayegani K. Navaneet Parsa Nooralinejad Soheil Kolouri Hamed Pirsiavash 40 12 0 04 Oct 2023
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models Seungcheol Park Ho-Jin Choi U. Kang VLM 40 5 0 07 Aug 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning Jun Chen Shipeng Bai Tianxin Huang Mengmeng Wang Guanzhong Tian Y. Liu MQ 36 18 0 02 Jul 2023
Sharp asymptotics on the compression of two-layer neural networks Mohammad Hossein Amani Simone Bombari Marco Mondelli Rattana Pukdee Stefano Rini MLT 24 0 0 17 May 2022
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy Thibault Castells Seul-Ki Yeom 3DV 18 3 0 18 Nov 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 28 15 0 30 Sep 2021