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. 1909.13146
  4. Cited By
META$^\mathbf{2}$: Memory-efficient taxonomic classification and
  abundance estimation for metagenomics with deep learning

META2^\mathbf{2}2: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning

28 September 2019
Andreas Georgiou
Vincent Fortuin
Harun Mustafa
Gunnar Rätsch
ArXivPDFHTML

Papers citing "META$^\mathbf{2}$: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning"

1 / 1 papers shown
Title
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
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
1,826
0
17 Sep 2019
1