◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Fardad

13 papers hereh-index 303.6k citations99 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author4

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.NE4
  • math.OC2
  • cs.ET1
  • eess.SP1
  • physics.data-an1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedProgressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM

26 citations · 31 across the 7 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Adversarial Attack Generation Empowered by Min-Max Optimization

Jingkang Wang, Tianyun Zhang, Sijia Liu +4

The worst-case training principle that minimizes the maximal adversarial loss, also known as adversarial training (AT), has shown to be a state-of-the-art approach for enhancing ad…

cs.NE2019★ 26 cited

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM

Shaokai Ye, Xiaoyu Feng, Tianyun Zhang +11

Weight pruning and weight quantization are two important categories of DNN model compression. Prior work on these techniques are mainly based on heuristics. A recent work developed…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.